Jupytext sync (#49)
* fixes to Rmd from Daniela's errata * synced the notebooks * syncing notebooks * all but Chapter10 * chapter 10
This commit is contained in:
1 parent
132bda168d
commit
e2a7c24001
24 files changed
+10370
-2839
No files matched your search
+15
-2
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Introduction to Python
|
# Introduction to Python
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch02-statlearn-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch02-statlearn-lab.ipynb">
|
||||||
@@ -70,7 +83,7 @@ print('fit a model with', 11, 'variables')
|
|||||||
The following command will provide information about the `print()` function.
|
The following command will provide information about the `print()` function.
|
||||||
|
|
||||||
```{python}
|
```{python}
|
||||||
print?
|
# print?
|
||||||
|
|
||||||
```
|
```
|
||||||
|
|
||||||
@@ -220,7 +233,7 @@ documentation associated with the function `fun`, if it exists.
|
|||||||
We can try this for `np.array()`.
|
We can try this for `np.array()`.
|
||||||
|
|
||||||
```{python}
|
```{python}
|
||||||
np.array?
|
# np.array?
|
||||||
|
|
||||||
```
|
```
|
||||||
This documentation indicates that we could create a floating point array by passing a `dtype` argument into `np.array()`.
|
This documentation indicates that we could create a floating point array by passing a `dtype` argument into `np.array()`.
|
||||||
|
|||||||
+537
-515
File diff suppressed because it is too large.
Load diff
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Linear Regression
|
# Linear Regression
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch03-linreg-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch03-linreg-lab.ipynb">
|
||||||
|
|||||||
+172
-163
@@ -5,7 +5,6 @@
|
|||||||
"id": "18156290",
|
"id": "18156290",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"\n",
|
|
||||||
"# Linear Regression\n",
|
"# Linear Regression\n",
|
||||||
"\n",
|
"\n",
|
||||||
"<a target=\"_blank\" href=\"https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch03-linreg-lab.ipynb\">\n",
|
"<a target=\"_blank\" href=\"https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch03-linreg-lab.ipynb\">\n",
|
||||||
@@ -31,10 +30,10 @@
|
|||||||
"id": "c5fcfd8f",
|
"id": "c5fcfd8f",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:52.664224Z",
|
"iopub.execute_input": "2025-04-03T19:32:49.534485Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:52.663745Z",
|
"iopub.status.busy": "2025-04-03T19:32:49.534275Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:55.080525Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.010417Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:55.080187Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.010150Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -64,10 +63,10 @@
|
|||||||
"id": "42cfb62e",
|
"id": "42cfb62e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:55.082578Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.011974Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:55.082413Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.011862Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:58.413315Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.564863Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:58.412991Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.564550Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -97,10 +96,10 @@
|
|||||||
"id": "b387d3ac",
|
"id": "b387d3ac",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:58.415310Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.566473Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:58.415163Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.566349Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:58.417748Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.568873Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:58.417483Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.568660Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -128,10 +127,10 @@
|
|||||||
"id": "307b7e22",
|
"id": "307b7e22",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:58.419369Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.570051Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:58.419266Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.569963Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.495961Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.713742Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.495556Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.713496Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -160,10 +159,10 @@
|
|||||||
"id": "79099069",
|
"id": "79099069",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.498234Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.715171Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.497985Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.715043Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.501527Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.717952Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.501281Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.717720Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -241,10 +240,10 @@
|
|||||||
"id": "3f99195f",
|
"id": "3f99195f",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.503342Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.719063Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.503233Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.718985Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.507028Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.721371Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.506764Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.721167Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -445,10 +444,10 @@
|
|||||||
"id": "f3f913ca",
|
"id": "f3f913ca",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.508536Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.722431Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.508431Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.722351Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.510630Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.724233Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.510369Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.724037Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -487,7 +486,7 @@
|
|||||||
"\n",
|
"\n",
|
||||||
"We will use the `Boston` housing data set, which is contained in the `ISLP` package. The `Boston` dataset records `medv` (median house value) for $506$ neighborhoods\n",
|
"We will use the `Boston` housing data set, which is contained in the `ISLP` package. The `Boston` dataset records `medv` (median house value) for $506$ neighborhoods\n",
|
||||||
"around Boston. We will build a regression model to predict `medv` using $13$\n",
|
"around Boston. We will build a regression model to predict `medv` using $13$\n",
|
||||||
"predictors such as `rmvar` (average number of rooms per house),\n",
|
"predictors such as `rm` (average number of rooms per house),\n",
|
||||||
" `age` (proportion of owner-occupied units built prior to 1940), and `lstat` (percent of\n",
|
" `age` (proportion of owner-occupied units built prior to 1940), and `lstat` (percent of\n",
|
||||||
"households with low socioeconomic status). We will use `statsmodels` for this\n",
|
"households with low socioeconomic status). We will use `statsmodels` for this\n",
|
||||||
"task, a `Python` package that implements several commonly used\n",
|
"task, a `Python` package that implements several commonly used\n",
|
||||||
@@ -503,10 +502,10 @@
|
|||||||
"id": "d720e2c5",
|
"id": "d720e2c5",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.512240Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.725318Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.512127Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.725239Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.518900Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.729860Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.518650Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.729670Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -547,10 +546,10 @@
|
|||||||
"id": "40e9b0d5",
|
"id": "40e9b0d5",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.520460Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.730951Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.520346Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.730869Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.525618Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.735144Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.525347Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.734950Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -637,10 +636,10 @@
|
|||||||
"id": "c1d544d6",
|
"id": "c1d544d6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.527107Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.736270Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.527008Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.736186Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.529257Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.738112Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.529030Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.737910Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -672,10 +671,10 @@
|
|||||||
"id": "3d340a07",
|
"id": "3d340a07",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.530690Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.739181Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.530586Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.739096Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.834480Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.753432Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.834171Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.753220Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -783,10 +782,10 @@
|
|||||||
"id": "11b07af0",
|
"id": "11b07af0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.836170Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.754563Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.836022Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.754462Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.842946Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.759448Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.842669Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.759257Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -878,10 +877,10 @@
|
|||||||
"id": "d5c7b370",
|
"id": "d5c7b370",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.844509Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.760748Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.844405Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.760686Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.850962Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.765340Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.850679Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.765092Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -982,10 +981,10 @@
|
|||||||
"id": "5b205c0b",
|
"id": "5b205c0b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.852617Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.766508Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.852508Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.766438Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.862779Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.773880Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.862528Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.773683Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1004,10 +1003,10 @@
|
|||||||
" <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 601.6</td>\n",
|
" <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 601.6</td>\n",
|
||||||
"</tr>\n",
|
"</tr>\n",
|
||||||
"<tr>\n",
|
"<tr>\n",
|
||||||
" <th>Date:</th> <td>Wed, 02 Apr 2025</td> <th> Prob (F-statistic):</th> <td>5.08e-88</td>\n",
|
" <th>Date:</th> <td>Thu, 03 Apr 2025</td> <th> Prob (F-statistic):</th> <td>5.08e-88</td>\n",
|
||||||
"</tr>\n",
|
"</tr>\n",
|
||||||
"<tr>\n",
|
"<tr>\n",
|
||||||
" <th>Time:</th> <td>21:43:59</td> <th> Log-Likelihood: </th> <td> -1641.5</td>\n",
|
" <th>Time:</th> <td>15:32:50</td> <th> Log-Likelihood: </th> <td> -1641.5</td>\n",
|
||||||
"</tr>\n",
|
"</tr>\n",
|
||||||
"<tr>\n",
|
"<tr>\n",
|
||||||
" <th>No. Observations:</th> <td> 506</td> <th> AIC: </th> <td> 3287.</td>\n",
|
" <th>No. Observations:</th> <td> 506</td> <th> AIC: </th> <td> 3287.</td>\n",
|
||||||
@@ -1055,8 +1054,8 @@
|
|||||||
"\\textbf{Dep. Variable:} & medv & \\textbf{ R-squared: } & 0.544 \\\\\n",
|
"\\textbf{Dep. Variable:} & medv & \\textbf{ R-squared: } & 0.544 \\\\\n",
|
||||||
"\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.543 \\\\\n",
|
"\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.543 \\\\\n",
|
||||||
"\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 601.6 \\\\\n",
|
"\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 601.6 \\\\\n",
|
||||||
"\\textbf{Date:} & Wed, 02 Apr 2025 & \\textbf{ Prob (F-statistic):} & 5.08e-88 \\\\\n",
|
"\\textbf{Date:} & Thu, 03 Apr 2025 & \\textbf{ Prob (F-statistic):} & 5.08e-88 \\\\\n",
|
||||||
"\\textbf{Time:} & 21:43:59 & \\textbf{ Log-Likelihood: } & -1641.5 \\\\\n",
|
"\\textbf{Time:} & 15:32:50 & \\textbf{ Log-Likelihood: } & -1641.5 \\\\\n",
|
||||||
"\\textbf{No. Observations:} & 506 & \\textbf{ AIC: } & 3287. \\\\\n",
|
"\\textbf{No. Observations:} & 506 & \\textbf{ AIC: } & 3287. \\\\\n",
|
||||||
"\\textbf{Df Residuals:} & 504 & \\textbf{ BIC: } & 3295. \\\\\n",
|
"\\textbf{Df Residuals:} & 504 & \\textbf{ BIC: } & 3295. \\\\\n",
|
||||||
"\\textbf{Df Model:} & 1 & \\textbf{ } & \\\\\n",
|
"\\textbf{Df Model:} & 1 & \\textbf{ } & \\\\\n",
|
||||||
@@ -1091,8 +1090,8 @@
|
|||||||
"Dep. Variable: medv R-squared: 0.544\n",
|
"Dep. Variable: medv R-squared: 0.544\n",
|
||||||
"Model: OLS Adj. R-squared: 0.543\n",
|
"Model: OLS Adj. R-squared: 0.543\n",
|
||||||
"Method: Least Squares F-statistic: 601.6\n",
|
"Method: Least Squares F-statistic: 601.6\n",
|
||||||
"Date: Wed, 02 Apr 2025 Prob (F-statistic): 5.08e-88\n",
|
"Date: Thu, 03 Apr 2025 Prob (F-statistic): 5.08e-88\n",
|
||||||
"Time: 21:43:59 Log-Likelihood: -1641.5\n",
|
"Time: 15:32:50 Log-Likelihood: -1641.5\n",
|
||||||
"No. Observations: 506 AIC: 3287.\n",
|
"No. Observations: 506 AIC: 3287.\n",
|
||||||
"Df Residuals: 504 BIC: 3295.\n",
|
"Df Residuals: 504 BIC: 3295.\n",
|
||||||
"Df Model: 1 \n",
|
"Df Model: 1 \n",
|
||||||
@@ -1138,10 +1137,10 @@
|
|||||||
"id": "4b024467",
|
"id": "4b024467",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.864311Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.775002Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.864203Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.774938Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.866715Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.777080Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.866467Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.776870Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1181,10 +1180,10 @@
|
|||||||
"id": "195e0ace",
|
"id": "195e0ace",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.868150Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.778190Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.868043Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.778121Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.871887Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.781279Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.871636Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.781079Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1265,10 +1264,10 @@
|
|||||||
"id": "768374f6",
|
"id": "768374f6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.873365Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.782396Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.873277Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.782327Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.875776Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.784385Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.875518Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.784190Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1303,10 +1302,10 @@
|
|||||||
"id": "1a86b943",
|
"id": "1a86b943",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.877236Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.785520Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.877150Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.785454Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.879505Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.787492Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.879266Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.787305Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1333,7 +1332,7 @@
|
|||||||
"id": "3595344e",
|
"id": "3595344e",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"Prediction intervals are computing by setting `obs=True`:"
|
"Prediction intervals are computed by setting `obs=True`:"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -1342,10 +1341,10 @@
|
|||||||
"id": "ea9727ca",
|
"id": "ea9727ca",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.880882Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.788600Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.880804Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.788538Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.883099Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.790459Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.882842Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.790248Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1402,10 +1401,10 @@
|
|||||||
"id": "796c20f6",
|
"id": "796c20f6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.884628Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.791606Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.884549Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.791541Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.886382Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.793223Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.886149Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.793036Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1425,7 +1424,7 @@
|
|||||||
"source": [
|
"source": [
|
||||||
" A few things are illustrated above. First we see the syntax for defining a function:\n",
|
" A few things are illustrated above. First we see the syntax for defining a function:\n",
|
||||||
"`def funcname(...)`. The function has arguments `ax, b, m`\n",
|
"`def funcname(...)`. The function has arguments `ax, b, m`\n",
|
||||||
"where `ax` is an axis object for an exisiting plot, `b` is the intercept and\n",
|
"where `ax` is an axis object for an existing plot, `b` is the intercept and\n",
|
||||||
"`m` is the slope of the desired line. Other plotting options can be passed on to\n",
|
"`m` is the slope of the desired line. Other plotting options can be passed on to\n",
|
||||||
"`ax.plot` by including additional optional arguments as follows:"
|
"`ax.plot` by including additional optional arguments as follows:"
|
||||||
]
|
]
|
||||||
@@ -1436,10 +1435,10 @@
|
|||||||
"id": "a258b8c0",
|
"id": "a258b8c0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.887825Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.794312Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.887719Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.794246Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:43:59.889620Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.795895Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:43:59.889379Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.795688Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1458,7 +1457,7 @@
|
|||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"The addition of `*args` allows any number of\n",
|
"The addition of `*args` allows any number of\n",
|
||||||
"non-named arguments to `abline`, while `*kwargs` allows any\n",
|
"non-named arguments to `abline`, while `**kwargs` allows any\n",
|
||||||
"number of named arguments (such as `linewidth=3`) to `abline`.\n",
|
"number of named arguments (such as `linewidth=3`) to `abline`.\n",
|
||||||
"In our function, we pass\n",
|
"In our function, we pass\n",
|
||||||
"these arguments verbatim to `ax.plot` above. Readers\n",
|
"these arguments verbatim to `ax.plot` above. Readers\n",
|
||||||
@@ -1476,17 +1475,27 @@
|
|||||||
"id": "56b75491",
|
"id": "56b75491",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:43:59.891025Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.796931Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:43:59.890922Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.796870Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.051132Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.884204Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.050413Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.882265Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70382/1591428221.py:3: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
|
||||||
|
" results.params[0],\n",
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70382/1591428221.py:4: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
|
||||||
|
" results.params[1],\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1540,17 +1549,17 @@
|
|||||||
"id": "74be2100",
|
"id": "74be2100",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.056158Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.888362Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.055868Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.887998Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.204012Z",
|
"iopub.status.idle": "2025-04-03T19:32:50.983668Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.203709Z"
|
"shell.execute_reply": "2025-04-03T19:32:50.983019Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1588,10 +1597,10 @@
|
|||||||
"id": "db8bc925",
|
"id": "db8bc925",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.205721Z",
|
"iopub.execute_input": "2025-04-03T19:32:50.987634Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.205598Z",
|
"iopub.status.busy": "2025-04-03T19:32:50.987335Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.291490Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.093124Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.291204Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.092860Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1608,7 +1617,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1656,10 +1665,10 @@
|
|||||||
"id": "e479373c",
|
"id": "e479373c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.293264Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.094541Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.293146Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.094455Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.305835Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.105229Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.305546Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.104994Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1754,10 +1763,10 @@
|
|||||||
"id": "b903170c",
|
"id": "b903170c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.308200Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.106458Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.308088Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.106379Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.310943Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.108676Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.310561Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.108453Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1794,10 +1803,10 @@
|
|||||||
"id": "bbe47670",
|
"id": "bbe47670",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.312663Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.109894Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.312541Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.109814Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.332188Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.124106Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.331912Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.123871Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1970,10 +1979,10 @@
|
|||||||
"id": "a1484d00",
|
"id": "a1484d00",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.333834Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.125356Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.333742Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.125276Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.353383Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.138960Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.353115Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.138745Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2158,10 +2167,10 @@
|
|||||||
"id": "46ac946c",
|
"id": "46ac946c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.354983Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.140138Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.354867Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.140067Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.361815Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.146004Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.361539Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.145771Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2290,10 +2299,10 @@
|
|||||||
"id": "b626ecb9",
|
"id": "b626ecb9",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.363405Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.147247Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.363311Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.147171Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.368568Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.151571Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.368275Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.151341Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2323,10 +2332,10 @@
|
|||||||
"id": "8bf77477",
|
"id": "8bf77477",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.370113Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.152822Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.370024Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.152716Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.384235Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.163070Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.383955Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.162825Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2431,10 +2440,10 @@
|
|||||||
"id": "6289c3cb",
|
"id": "6289c3cb",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.385906Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.164397Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.385783Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.164312Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.399387Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.175546Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.399084Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.175305Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2549,10 +2558,10 @@
|
|||||||
"id": "b6542ac6",
|
"id": "b6542ac6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.401031Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.176770Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.400918Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.176688Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.406569Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.180893Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.406300Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.180653Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2649,7 +2658,7 @@
|
|||||||
"\n",
|
"\n",
|
||||||
"The function `anova_lm()` can take more than two nested models\n",
|
"The function `anova_lm()` can take more than two nested models\n",
|
||||||
"as input, in which case it compares every successive pair of models.\n",
|
"as input, in which case it compares every successive pair of models.\n",
|
||||||
"That also explains why their are `NaN`s in the first row above, since\n",
|
"That also explains why there are `NaN`s in the first row above, since\n",
|
||||||
"there is no previous model with which to compare the first.\n"
|
"there is no previous model with which to compare the first.\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
@@ -2659,17 +2668,17 @@
|
|||||||
"id": "8e4c6004",
|
"id": "8e4c6004",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.408066Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.182118Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.407960Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.182029Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.502573Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.233426Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.502232Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.233183Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2715,10 +2724,10 @@
|
|||||||
"id": "a83f4bd2",
|
"id": "a83f4bd2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.504359Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.234718Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.504231Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.234617Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.509266Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.239575Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.508991Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.239354Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2766,10 +2775,10 @@
|
|||||||
"id": "24efc6f1",
|
"id": "24efc6f1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2025-04-03T04:44:00.510850Z",
|
"iopub.execute_input": "2025-04-03T19:32:51.240897Z",
|
||||||
"iopub.status.busy": "2025-04-03T04:44:00.510746Z",
|
"iopub.status.busy": "2025-04-03T19:32:51.240800Z",
|
||||||
"iopub.status.idle": "2025-04-03T04:44:00.538766Z",
|
"iopub.status.idle": "2025-04-03T19:32:51.261250Z",
|
||||||
"shell.execute_reply": "2025-04-03T04:44:00.538446Z"
|
"shell.execute_reply": "2025-04-03T19:32:51.261014Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2961,8 +2970,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -2974,7 +2983,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.11.4"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Logistic Regression, LDA, QDA, and KNN
|
# Logistic Regression, LDA, QDA, and KNN
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch04-classification-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch04-classification-lab.ipynb">
|
||||||
|
|||||||
+332
-332
File diff suppressed because it is too large.
Load diff
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Cross-Validation and the Bootstrap
|
# Cross-Validation and the Bootstrap
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch05-resample-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch05-resample-lab.ipynb">
|
||||||
|
|||||||
+116
-126
@@ -1,11 +1,5 @@
|
|||||||
{
|
{
|
||||||
"cells": [
|
"cells": [
|
||||||
{
|
|
||||||
"cell_type": "markdown",
|
|
||||||
"id": "dc2d635a",
|
|
||||||
"metadata": {},
|
|
||||||
"source": []
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "6dde3cef",
|
"id": "6dde3cef",
|
||||||
@@ -38,10 +32,10 @@
|
|||||||
"id": "f1deb5cc",
|
"id": "f1deb5cc",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:13.493284Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.204499Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:13.492950Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.204390Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.143174Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.819021Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.142882Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.818655Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -70,10 +64,10 @@
|
|||||||
"id": "268c41b3",
|
"id": "268c41b3",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.144884Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.820788Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.144773Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.820641Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.146541Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.822663Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.146330Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.822416Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -114,10 +108,10 @@
|
|||||||
"id": "22f44ae0",
|
"id": "22f44ae0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.147809Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.823864Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.147730Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.823764Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.152606Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.829383Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.152414Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.829160Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -142,10 +136,10 @@
|
|||||||
"id": "0c32e917",
|
"id": "0c32e917",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.153847Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.830793Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.153757Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.830713Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.157537Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.834993Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.157339Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.834789Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -172,10 +166,10 @@
|
|||||||
"id": "86ce4f85",
|
"id": "86ce4f85",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.158717Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.836150Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.158637Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.836082Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.162177Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.839814Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.161910Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.839608Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -207,7 +201,7 @@
|
|||||||
"\n",
|
"\n",
|
||||||
"We can also estimate the validation error for\n",
|
"We can also estimate the validation error for\n",
|
||||||
"higher-degree polynomial regressions. We first provide a function `evalMSE()` that takes a model string as well\n",
|
"higher-degree polynomial regressions. We first provide a function `evalMSE()` that takes a model string as well\n",
|
||||||
"as a training and test set and returns the MSE on the test set."
|
"as training and test sets and returns the MSE on the test set."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -216,10 +210,10 @@
|
|||||||
"id": "50a66a97",
|
"id": "50a66a97",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.163466Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.841088Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.163397Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.841015Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.165323Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.843031Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.165076Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.842838Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -259,10 +253,10 @@
|
|||||||
"id": "d49b6999",
|
"id": "d49b6999",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.166563Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.844166Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.166497Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.844091Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.177198Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.855875Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.176975Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.855640Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -303,10 +297,10 @@
|
|||||||
"id": "dac8bd54",
|
"id": "dac8bd54",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.178405Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.857092Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.178321Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.857011Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.188650Z",
|
"iopub.status.idle": "2025-04-03T19:33:23.868361Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.188432Z"
|
"shell.execute_reply": "2025-04-03T19:33:23.868136Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -386,10 +380,10 @@
|
|||||||
"id": "601ae443",
|
"id": "601ae443",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.189993Z",
|
"iopub.execute_input": "2025-04-03T19:33:23.869578Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.189906Z",
|
"iopub.status.busy": "2025-04-03T19:33:23.869501Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:14.876368Z",
|
"iopub.status.idle": "2025-04-03T19:33:24.584127Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:14.876129Z"
|
"shell.execute_reply": "2025-04-03T19:33:24.583898Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -427,7 +421,7 @@
|
|||||||
"and `score()` methods, an\n",
|
"and `score()` methods, an\n",
|
||||||
"array of features `X` and a response `Y`. \n",
|
"array of features `X` and a response `Y`. \n",
|
||||||
"We also included an additional argument `cv` to `cross_validate()`; specifying an integer\n",
|
"We also included an additional argument `cv` to `cross_validate()`; specifying an integer\n",
|
||||||
"$K$ results in $K$-fold cross-validation. We have provided a value \n",
|
"$k$ results in $k$-fold cross-validation. We have provided a value \n",
|
||||||
"corresponding to the total number of observations, which results in\n",
|
"corresponding to the total number of observations, which results in\n",
|
||||||
"leave-one-out cross-validation (LOOCV). The `cross_validate()` function produces a dictionary with several components;\n",
|
"leave-one-out cross-validation (LOOCV). The `cross_validate()` function produces a dictionary with several components;\n",
|
||||||
"we simply want the cross-validated test score here (MSE), which is estimated to be 24.23."
|
"we simply want the cross-validated test score here (MSE), which is estimated to be 24.23."
|
||||||
@@ -454,10 +448,10 @@
|
|||||||
"id": "11226c85",
|
"id": "11226c85",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:14.877800Z",
|
"iopub.execute_input": "2025-04-03T19:33:24.585528Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:14.877726Z",
|
"iopub.status.busy": "2025-04-03T19:33:24.585450Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.384419Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.124201Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.384193Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.123913Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -511,10 +505,10 @@
|
|||||||
"id": "64b64d97",
|
"id": "64b64d97",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.385768Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.125598Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.385690Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.125513Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.387686Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.127886Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.387484Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.127667Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -542,8 +536,8 @@
|
|||||||
"id": "71385c1b",
|
"id": "71385c1b",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"In the CV example above, we used $K=n$, but of course we can also use $K<n$. The code is very similar\n",
|
"In the CV example above, we used $k=n$, but of course we can also use $k<n$. The code is very similar\n",
|
||||||
"to the above (and is significantly faster). Here we use `KFold()` to partition the data into $K=10$ random groups. We use `random_state` to set a random seed and initialize a vector `cv_error` in which we will store the CV errors corresponding to the\n",
|
"to the above (and is significantly faster). Here we use `KFold()` to partition the data into $k=10$ random groups. We use `random_state` to set a random seed and initialize a vector `cv_error` in which we will store the CV errors corresponding to the\n",
|
||||||
"polynomial fits of degrees one to five."
|
"polynomial fits of degrees one to five."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
@@ -553,10 +547,10 @@
|
|||||||
"id": "ca0f972f",
|
"id": "ca0f972f",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.389014Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.129127Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.388934Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.129050Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.407438Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.149889Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.407194Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.149644Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -594,7 +588,7 @@
|
|||||||
"source": [
|
"source": [
|
||||||
"Notice that the computation time is much shorter than that of LOOCV.\n",
|
"Notice that the computation time is much shorter than that of LOOCV.\n",
|
||||||
"(In principle, the computation time for LOOCV for a least squares\n",
|
"(In principle, the computation time for LOOCV for a least squares\n",
|
||||||
"linear model should be faster than for $K$-fold CV, due to the\n",
|
"linear model should be faster than for $k$-fold CV, due to the\n",
|
||||||
"availability of the formula~(\\ref{Ch5:eq:LOOCVform}) for LOOCV;\n",
|
"availability of the formula~(\\ref{Ch5:eq:LOOCVform}) for LOOCV;\n",
|
||||||
"however, the generic `cross_validate()` function does not make\n",
|
"however, the generic `cross_validate()` function does not make\n",
|
||||||
"use of this formula.) We still see little evidence that using cubic\n",
|
"use of this formula.) We still see little evidence that using cubic\n",
|
||||||
@@ -608,8 +602,9 @@
|
|||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"The `cross_validate()` function is flexible and can take\n",
|
"The `cross_validate()` function is flexible and can take\n",
|
||||||
"different splitting mechanisms as an argument. For instance, one can use the `ShuffleSplit()` funtion to implement\n",
|
"different splitting mechanisms as an argument. For instance, one can use the `ShuffleSplit()`\n",
|
||||||
"the validation set approach just as easily as K-fold cross-validation."
|
"function to implement\n",
|
||||||
|
"the validation set approach just as easily as $k$-fold cross-validation."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -618,10 +613,10 @@
|
|||||||
"id": "080cdb29",
|
"id": "080cdb29",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.408750Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.151147Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.408677Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.151072Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.413979Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.156751Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.413762Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.156501Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -662,10 +657,10 @@
|
|||||||
"id": "7c46de2b",
|
"id": "7c46de2b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.415225Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.158025Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.415158Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.157939Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.437526Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.182100Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.437302Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.181888Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -736,10 +731,10 @@
|
|||||||
"id": "a4b6d9b3",
|
"id": "a4b6d9b3",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.438786Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.183403Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.438714Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.183320Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.441484Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.186088Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.441268Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.185890Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -770,10 +765,10 @@
|
|||||||
"id": "81498a11",
|
"id": "81498a11",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.442843Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.187384Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.442765Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.187299Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.445171Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.189610Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.444944Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.189413Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -809,10 +804,10 @@
|
|||||||
"id": "64fe1cb6",
|
"id": "64fe1cb6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.446422Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.190738Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.446354Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.190670Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.448793Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.193250Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.448579Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.193037Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -852,10 +847,10 @@
|
|||||||
"id": "dd16bbae",
|
"id": "dd16bbae",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.450062Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.194520Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.449992Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.194445Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.451958Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.196804Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.451742Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.196574Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -897,10 +892,10 @@
|
|||||||
"id": "b42b4585",
|
"id": "b42b4585",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.453190Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.198086Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.453118Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.198011Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.631597Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.394494Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.631370Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.394181Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -963,10 +958,10 @@
|
|||||||
"id": "6bc11784",
|
"id": "6bc11784",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.632802Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.396011Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.632725Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.395917Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.634450Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.397893Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.634222Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.397676Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -998,10 +993,10 @@
|
|||||||
"id": "740cd50c",
|
"id": "740cd50c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.635644Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.399076Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.635575Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.398999Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.637097Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.400599Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.636867Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.400346Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1031,10 +1026,10 @@
|
|||||||
"id": "ffb3ec50",
|
"id": "ffb3ec50",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.638287Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.401753Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.638220Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.401682Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:15.656475Z",
|
"iopub.status.idle": "2025-04-03T19:33:25.422622Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:15.656261Z"
|
"shell.execute_reply": "2025-04-03T19:33:25.422385Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1082,10 +1077,10 @@
|
|||||||
"id": "7d561f70",
|
"id": "7d561f70",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:15.657733Z",
|
"iopub.execute_input": "2025-04-03T19:33:25.423860Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:15.657659Z",
|
"iopub.status.busy": "2025-04-03T19:33:25.423786Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:17.204871Z",
|
"iopub.status.idle": "2025-04-03T19:33:27.089093Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:17.204614Z"
|
"shell.execute_reply": "2025-04-03T19:33:27.088869Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1132,10 +1127,10 @@
|
|||||||
"id": "3888aa0a",
|
"id": "3888aa0a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:17.206302Z",
|
"iopub.execute_input": "2025-04-03T19:33:27.090386Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:17.206223Z",
|
"iopub.status.busy": "2025-04-03T19:33:27.090313Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:17.221631Z",
|
"iopub.status.idle": "2025-04-03T19:33:27.106785Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:17.221444Z"
|
"shell.execute_reply": "2025-04-03T19:33:27.106554Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1177,7 +1172,7 @@
|
|||||||
"rely on certain assumptions. For example,\n",
|
"rely on certain assumptions. For example,\n",
|
||||||
"they depend on the unknown parameter $\\sigma^2$, the noise\n",
|
"they depend on the unknown parameter $\\sigma^2$, the noise\n",
|
||||||
"variance. We then estimate $\\sigma^2$ using the RSS. Now although the\n",
|
"variance. We then estimate $\\sigma^2$ using the RSS. Now although the\n",
|
||||||
"formula for the standard errors do not rely on the linear model being\n",
|
"formulas for the standard errors do not rely on the linear model being\n",
|
||||||
"correct, the estimate for $\\sigma^2$ does. We see\n",
|
"correct, the estimate for $\\sigma^2$ does. We see\n",
|
||||||
" {in Figure~\\ref{Ch3:polyplot} on page~\\pageref{Ch3:polyplot}} that there is\n",
|
" {in Figure~\\ref{Ch3:polyplot} on page~\\pageref{Ch3:polyplot}} that there is\n",
|
||||||
"a non-linear relationship in the data, and so the residuals from a\n",
|
"a non-linear relationship in the data, and so the residuals from a\n",
|
||||||
@@ -1204,10 +1199,10 @@
|
|||||||
"id": "acc3e32c",
|
"id": "acc3e32c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:17.222887Z",
|
"iopub.execute_input": "2025-04-03T19:33:27.108124Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:17.222785Z",
|
"iopub.status.busy": "2025-04-03T19:33:27.108030Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:19.351574Z",
|
"iopub.status.idle": "2025-04-03T19:33:29.434320Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:19.351317Z"
|
"shell.execute_reply": "2025-04-03T19:33:29.434045Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1247,10 +1242,10 @@
|
|||||||
"id": "dca5340c",
|
"id": "dca5340c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:19.352904Z",
|
"iopub.execute_input": "2025-04-03T19:33:29.435689Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:19.352827Z",
|
"iopub.status.busy": "2025-04-03T19:33:29.435602Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:19.360147Z",
|
"iopub.status.idle": "2025-04-03T19:33:29.444726Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:19.359948Z"
|
"shell.execute_reply": "2025-04-03T19:33:29.444464Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1288,13 +1283,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
|
||||||
"kernelspec": {
|
|
||||||
"display_name": "Python 3 (ipykernel)",
|
|
||||||
"language": "python",
|
|
||||||
"name": "python3"
|
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -1306,7 +1296,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Linear Models and Regularization Methods
|
# Linear Models and Regularization Methods
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch06-varselect-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch06-varselect-lab.ipynb">
|
||||||
|
|||||||
+7625
-248
File diff suppressed because it is too large.
Load diff
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Non-Linear Modeling
|
# Non-Linear Modeling
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch07-nonlin-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch07-nonlin-lab.ipynb">
|
||||||
|
|||||||
+269
-215
@@ -31,10 +31,10 @@
|
|||||||
"id": "4f8339f1",
|
"id": "4f8339f1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:34.911110Z",
|
"iopub.execute_input": "2025-04-03T19:33:50.366185Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:34.910732Z",
|
"iopub.status.busy": "2025-04-03T19:33:50.366102Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:35.700317Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.247056Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:35.700028Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.246749Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -65,10 +65,10 @@
|
|||||||
"id": "816d4b81",
|
"id": "816d4b81",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:35.702094Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.248683Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:35.701965Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.248548Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:35.722229Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.270590Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:35.722033Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.270329Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -104,10 +104,10 @@
|
|||||||
"id": "bd30b197",
|
"id": "bd30b197",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:35.723538Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.271940Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:35.723455Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.271839Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:35.730561Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.280136Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:35.730367Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.279890Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -134,10 +134,10 @@
|
|||||||
"id": "fe40e0fb",
|
"id": "fe40e0fb",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:35.731830Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.281339Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:35.731745Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.281249Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:35.758719Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.445879Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:35.758161Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.445039Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -269,10 +269,10 @@
|
|||||||
"id": "23a9ff8e",
|
"id": "23a9ff8e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:35.762173Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.449802Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:35.761857Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.449381Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:35.766441Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.453378Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:35.765894Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.452750Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -304,10 +304,10 @@
|
|||||||
"id": "ca7a1d45",
|
"id": "ca7a1d45",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:35.771011Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.456232Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:35.770581Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.455822Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:35.776229Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.462370Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:35.775762Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.461648Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -361,17 +361,17 @@
|
|||||||
"id": "b05a60ba",
|
"id": "b05a60ba",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:35.779177Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.465083Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:35.778961Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.464836Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.009418Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.558483Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.008910Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.555890Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAsUAAALTCAYAAAD+RH+eAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzsnQe4HVd1trd675JVLFmWe+/GFRsXTLETOoRQDCEQwEAC+YEfQkgwoQQSQgk1AUMoIaFj/xhj3MAVY+MuudtyUbWs3qX7P+9I32VrPO3ozD33nHu+93mOjs7M3D179uyZ+Wbttdca1NPT0xOMMcYYY4zpYgb3dwWMMcYYY4zpbyyKjTHGGGNM12NRbIwxxhhjuh6LYmOMMcYY0/VYFBtjjDHGmK7HotgYY4wxxnQ9FsXGGGOMMabrsSg2xhhjjDFdj0WxMcYYY4zpeiyKjTHG9Cvf/OY3w6BBg5LPI4880t/VGTC84Q1vSNp077337rN9UDb7YF/GdDoWxcYMYK6++upesRF/hg4dGiZPnhzmzZsXTjvttPDud787/OhHPwqbN2/u7yqbCrzqVa/a5Xw2KyQlbNKfYcOGhalTp4ZTTz01/OM//mN48sknazsGY4xpNyyKjelCtm3bFp5++ulETP32t78Nn/3sZ8PLX/7yMHv27PBP//RPYevWrf1dRZPDJZdcEv73f/+3JfuiHzz11FPhuuuuCx/5yEfCwQcfHH7yk5+0ZN/GGNNqLIqN6RLe9ra3hTvvvLP3c8MNN4Rf/OIX4ZOf/GR47nOfm1gGly1bFv7+7/8+nHLKKcn/TXuxdu3acMEFFyT/32OPPWovf9asWbv0kVtvvTX8+Mc/Dn/yJ3+SrF+9enX4sz/7s/CHP/yh9n2bvnFL6enpsUuKMRWxKDamS0BEHXbYYb2fE088MbzgBS8I73//+8OvfvWrcNddd4Wjjz462fZ3v/tdeMlLXmJ3ijbjQx/6UFi4cGE466yzknNXN7hLxH2E/kA/+PnPfx7e8573JNvQJxhNMMaYgYZFsTEm4ZBDDkmGySWM+f8Xv/jF/q6W2cnvf//78IUvfCGMGDEifOlLX2r5/nGfGDVqVPJ/XqK2b9/e8joYY0xfYlFsjOkF0fPtb387caWAf/mXfwlbtmzJ3X7x4sXh7/7u78Jxxx2XTNxDsM2ZMye88pWvDL/+9a8r7fO//uu/wumnnx4mTZoUxo4dGw4//PBw4YUXJkP1oElfTPRKwzKth1WrVoWPfvSjibCfOHFispwh5DQ//elPwyte8Yqw1157hZEjRybbcgwIP3ytq1BHGY349r75zW9OhOj//b//NxxwwAGh1XBueHGSG8eKFSt2WU/dvvOd74QXvvCFYcaMGWH48OFh2rRp4YwzzkhE/O6MOtxxxx295xc3nzJ4adD2jHbkRbegrl/72tfCySefnPS7MWPGhCOOOCJ87GMfC+vXry/dD65FWO3Vzzj/TFZ83eteF6699tqGojXgovKa17wmuW64/vbbb7/EKr98+fJd/u7666/fpb/tu+++ySjPmjVrdjv6xLp168L//M//hL/8y78MRx11VJgwYUIyWsB545rk+udcG9M19BhjBixXXXVVD5c5n3/4h3+o/HfnnHNO799dd911mdt85zvf6RkzZkzvdlmfN73pTT1btmzJ/PvNmzf3vOhFL8r92/3337/nkUceKaw/y7T+vvvu69l7772fUc5FF13Uu/2KFSt6zjzzzMI677HHHj033HBDbtvUUUaj/PM//3Nvm2zcuDFZdv755/fu7+GHH26q/Llz5ybl8F3EiSee2LvPxYsX9y5/6qmnek455ZTCNjn44IOT85kF5yjvWI4//vhk+UEHHVR6HEcffXSy7aGHHppb/t13391z1lln5dbzWc96Vs/atWtz93HZZZf1jB8/vvBYL7jggp5t27YVtjXn77/+6796hg8fnlnGAQcc0LNo0aLkbz796U/3DBo0KHO7Y445pmfNmjWZ+1IfyTuvp59+euFx8Jk3b17P/Pnzc9sjPh5jOh1bio0xz+Dss8/u/T/RKdIQ/QCrGJamffbZJ3zmM58Jv/zlL8Mtt9yShHbDWghf//rXw/ve977Mffz1X/91+NnPfpb8/9BDDw0XXXRRuPnmm8MVV1wR3vGOd4SHHnooCT1WFaJnPPHEE+Gd73xnuPzyyxN3g//+7/8OBx54YLJ+06ZNyXFdeeWVYciQIUn9WX/jjTcmx4iVcMqUKWHp0qVJ/R999NFn7KOOMhrl4YcfTqzPgMUVa3x/gLV6wYIFyf+xAnOcimRy3nnnJe42gIXxBz/4QdL++CK/+MUvTpbPnz8/8YVu1PKIFRPYN5ND87j99tt7JwD+xV/8Re52WNyvuuqqcP7554f/9//+X9Jniahx0kknJeuxMOf5TN92223JpENGMbCoEsqQsvibr371q0mIQ8Dt6AMf+EDhcVFfjg3L8De+8Y2k79OvXvva1ybr77vvvvB//s//SSY6vve97w0nnHBC+O53v5u0K9earjEszbvr4805ZWSG0R7a4Kabbkr6MtZjJlQOHjw46X+cw40bN+7WPozpKPpblRtj2s9S/Otf/7r37/7iL/5il3XLli3rmTBhQu+6PEvwBz/4wWSbwYMH9yxYsGCXdbfeemuv5eukk07qWb9+/TP+/gc/+MEuFqsySzH7wYqXh+ozceLEnt///veZ22DJnDlzZrLdn//5n/dJGY0iq/2rX/3qXZa32lL87//+7737w1Ketfz1r399z/bt23Pbjc/73ve+hizFq1ev7h2RePOb35xbv3e9613JNsOGDetZunRpbvl8vv3tbz/j77HAH3bYYcn6KVOmZPZrWa2HDBmS2dcYRTjkkEN6++Ndd92V29Z8Tj755J5169Y9Y5uXv/zlvfuZPHlyz8te9rKerVu37rINv2W5z6tvmaWY0ZUiLr/88uQ4KOM///M/M7expdgMJCyKjRnA7K4o/sMf/tD7dy95yUt2WXfhhRcmy/fcc8/eofwseEizDdsiimLe+ta39pafJRwE+64qitPiPYbhZQn5L3zhC4XH/qUvfalXXMXD6HWU0SiIN8phv7G7QqtEMefw/vvvT84fAk37u/TSS3u3wS2CZdOmTUsEbBaUg/sD202aNOkZ/aZIFMMb3/jGZB1uC1kvUJs2bUqEYVZ/TZf/0pe+NLcdvvKVr/Rud/vtt++y7qabbupdR//N49prr+3d7u1vf3tuW/NSeM8992SWceWVV/aWMXr06MQ9JYtvfOMbufWtIoqr8OIXvzgp47zzzstcb1FsBhJ2nzDGZE6qEumJPAyJA0PmRUP5ZM3TkHR62FuT8JiohOtEHq9//esr15nJSnlcc801ySQ8uVkUQYY/YIIhQ+t1ltEIJM1QGLSPf/zjYfr06aGvwd0jndFu//33T/aPmwTLGKp//vOfn2xPhjvcIoDJlePGjcvtC2984xuT/zMJkSH/3XGhwG0B95w0F198cdJeZa4TZf3k2GOP7f0/7jsx8cTRN73pTbllEOObJCfpv0nDxD5tl+bII4/s/T8xxJnEWrZdur67AxMI77///iQ8oz5MupO7hzEDnaH9XQFjTPsRC+Hx48f3/h9hhF8l4EPJpwpEqRD4Jj7wwAPPECFZEM2hKoiMPPDDFDNnzqxcZlzvOsrAPxM/7Lw40nFCjr/9279NRMqznvWs8Na3vjX0J/SBM888MxHpz372s3uXI5oEPq9FxOv5O70wVYEoEUS+uOeeexLfc/ndCpbpvJTFbz7ooINy18XiM/0yqGPFn5pIDWXHyssCApOoG/xNmqIIIkS0aHS7oigUReAL/vnPfz4R8OmIIjHpaBjGDEQsio0xhQ/AWCjw0NydFNBxmKuVK1f2/l9WqDzK1scQWisPJr7tDnG96ygDaykW5yz+4R/+oTfsHBOuvvWtbyWT+b7yla8kE55aARntLrvssl0svITpIsSawt7FxCKqLMMeZWT9XVWwzvKiwMQ2wqopzNiiRYuSiWcaWaDNihg9enTuurideQGMUZ25HmiXKseKiyKW8Swrf9V67G59q0B/0yTOMjZs2NBw+cZ0GhbFxphnEKfxVfSG9IOXIW0iSFQhy1JWN0ViKK43Q/e4BVRh9uzZtZZRlX/+53/utZTfe++9yScNVufYfUAvEEQNaDaj3e6QJZrrBMFLRAcsr7ww8BKhONc6N2WuE3XQ18fZKojyIkFMBBkiXZx66qlJHGTiNkv4f/jDH05ifxvTDVgUG2OeASHNBA/KLKsxVrDdEVDxkC/uAUWUra+KwocB4nF3hGodZVx99dWVtiP0GxAi69WvfnXp9u9617t6/9+MKG6UuD8sWbKkshtJno9sEVOnTg0vetGLknBviGLEWpycBV/evkxqojrju8xoSZG1WMdK/YpGMPqT//iP/0i+qR9h2PJGZXbHqm9Mp+KJdsaYZ/hOYkUCsmzFfr1YfDUxTnFpG0XZuKBsElrsx9sMSl3dTL3rKGOgEb8UIeCLiDPM7a41WhPusJLzgkGWN8VO7msrseqMpVp+9WXHyiTFVoyS7A5333138k3GwSI3pbquQWM6AYtiY8wufoMMU2MFBoZU0xaxP/3TP02+ESOx/2kjkMRBbhp6OGfB0HgdkHBDvplMKtLxtbqMqiD4dobMzP2QfEIgErW8leCDrAgKJHTJS8yBe4MsulgmjznmmN3aH+dg7ty5vZPrNMGOaClEv2hVQhuSbeRBpBUmBKb/pt3Q3IC8iZ+6PstedowZSFgUG2MSeJDjKiF/YjKTve1tb3vGdvgRK2QbE8eKRC2QNeyOO+7YZdlb3vKWXt9MMoxlTeIh9BZZtuoAlw2y5AHWRTKRbd++PXd7XAH+8z//s/YyBiIXXHBBr6tL7MYRg++qhCLne3ez8jGxTBZh+geZ1+AVr3jFLmEE+wKigGjUBNcDjabEELLvr/7qr3rrmnXLine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -430,10 +430,10 @@
|
|||||||
"id": "c338a92a",
|
"id": "c338a92a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.012673Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.562604Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.012313Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.561921Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.072501Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.635689Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.071990Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.634613Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -570,10 +570,10 @@
|
|||||||
"id": "a1f74b79",
|
"id": "a1f74b79",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.075597Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.639833Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.075369Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.639168Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.090416Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.663992Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.089945Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.661163Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -679,10 +679,10 @@
|
|||||||
"id": "570892d1",
|
"id": "570892d1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.092926Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.670914Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.092726Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.669751Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.096105Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.675840Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.095602Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.674407Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -720,10 +720,10 @@
|
|||||||
"id": "3ff20916",
|
"id": "3ff20916",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.098614Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.681787Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.098427Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.681279Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.147734Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.737645Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.145914Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.735323Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -830,10 +830,10 @@
|
|||||||
"id": "2952bde3",
|
"id": "2952bde3",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.154502Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.742075Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.154251Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.741235Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.179360Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.786585Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.177817Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.784529Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -943,10 +943,10 @@
|
|||||||
"id": "c999b609",
|
"id": "c999b609",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.182205Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.795007Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.181928Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.794240Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.188474Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.802485Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.187832Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.801339Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -970,17 +970,17 @@
|
|||||||
"id": "5f18a110",
|
"id": "5f18a110",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.191550Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.815260Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.191370Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.814446Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.311190Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.889477Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.310416Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.888860Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1035,10 +1035,10 @@
|
|||||||
"id": "62e053ea",
|
"id": "62e053ea",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.315065Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.903456Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.314672Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.902924Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.333569Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.931633Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.333006Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.931013Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1164,10 +1164,10 @@
|
|||||||
"id": "f032f577",
|
"id": "f032f577",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.336489Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.941994Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.336258Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.941511Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.343862Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.954506Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.343366Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.952472Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1207,10 +1207,10 @@
|
|||||||
"id": "c3c38823",
|
"id": "c3c38823",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.346759Z",
|
"iopub.execute_input": "2025-04-03T19:33:51.964142Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.346545Z",
|
"iopub.status.busy": "2025-04-03T19:33:51.963489Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.380669Z",
|
"iopub.status.idle": "2025-04-03T19:33:51.997785Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.380119Z"
|
"shell.execute_reply": "2025-04-03T19:33:51.995701Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1333,10 +1333,10 @@
|
|||||||
"id": "d01c2c26",
|
"id": "d01c2c26",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.384846Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.016425Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.384459Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.015784Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.418050Z",
|
"iopub.status.idle": "2025-04-03T19:33:52.050518Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.415940Z"
|
"shell.execute_reply": "2025-04-03T19:33:52.049543Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1469,10 +1469,10 @@
|
|||||||
"id": "672d44ae",
|
"id": "672d44ae",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.421424Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.061323Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.421207Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.060825Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.429792Z",
|
"iopub.status.idle": "2025-04-03T19:33:52.068372Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.429086Z"
|
"shell.execute_reply": "2025-04-03T19:33:52.067421Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1514,10 +1514,10 @@
|
|||||||
"id": "4a3f93ee",
|
"id": "4a3f93ee",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.432272Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.072307Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.432078Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.071691Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.457934Z",
|
"iopub.status.idle": "2025-04-03T19:33:52.108285Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.457375Z"
|
"shell.execute_reply": "2025-04-03T19:33:52.106248Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1648,10 +1648,10 @@
|
|||||||
"id": "bd2b4215",
|
"id": "bd2b4215",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.460525Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.111583Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.460295Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.111100Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.489739Z",
|
"iopub.status.idle": "2025-04-03T19:33:52.147048Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.489248Z"
|
"shell.execute_reply": "2025-04-03T19:33:52.146152Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1765,16 +1765,16 @@
|
|||||||
"id": "9162a058",
|
"id": "9162a058",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.493122Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.151839Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.492786Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.150012Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.668184Z",
|
"iopub.status.idle": "2025-04-03T19:33:52.224198Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.667651Z"
|
"shell.execute_reply": "2025-04-03T19:33:52.223407Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1813,10 +1813,10 @@
|
|||||||
"id": "86ff9343",
|
"id": "86ff9343",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.671284Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.237478Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.671050Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.236869Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.705757Z",
|
"iopub.status.idle": "2025-04-03T19:33:52.297555Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.705247Z"
|
"shell.execute_reply": "2025-04-03T19:33:52.296760Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1859,16 +1859,16 @@
|
|||||||
"id": "44812968",
|
"id": "44812968",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.708880Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.309060Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.708673Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.308243Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:36.976882Z",
|
"iopub.status.idle": "2025-04-03T19:33:52.649713Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:36.976289Z"
|
"shell.execute_reply": "2025-04-03T19:33:52.647160Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1905,10 +1905,10 @@
|
|||||||
"id": "968e1e42",
|
"id": "968e1e42",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:36.979615Z",
|
"iopub.execute_input": "2025-04-03T19:33:52.655836Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:36.979395Z",
|
"iopub.status.busy": "2025-04-03T19:33:52.655411Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.195601Z",
|
"iopub.status.idle": "2025-04-03T19:33:53.201562Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.195005Z"
|
"shell.execute_reply": "2025-04-03T19:33:53.200247Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1920,6 +1920,22 @@
|
|||||||
"\u001b[38;2;255;0;0m 0%\u001b[39m \u001b[38;2;255;0;0m(0 of 11)\u001b[39m | | Elapsed Time: 0:00:00 ETA: --:--:--"
|
"\u001b[38;2;255;0;0m 0%\u001b[39m \u001b[38;2;255;0;0m(0 of 11)\u001b[39m | | Elapsed Time: 0:00:00 ETA: --:--:--"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"\r",
|
||||||
|
"\u001b[38;2;255;105;0m 18%\u001b[39m \u001b[38;2;255;105;0m(2 of 11)\u001b[39m |#### | Elapsed Time: 0:00:00 ETA: 0:00:00"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"\r",
|
||||||
|
"\u001b[38;2;255;156;0m 36%\u001b[39m \u001b[38;2;255;156;0m(4 of 11)\u001b[39m |######### | Elapsed Time: 0:00:00 ETA: 0:00:00"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"name": "stderr",
|
"name": "stderr",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
@@ -1928,6 +1944,30 @@
|
|||||||
"\u001b[38;2;255;189;0m 45%\u001b[39m \u001b[38;2;255;189;0m(5 of 11)\u001b[39m |########### | Elapsed Time: 0:00:00 ETA: 0:00:00"
|
"\u001b[38;2;255;189;0m 45%\u001b[39m \u001b[38;2;255;189;0m(5 of 11)\u001b[39m |########### | Elapsed Time: 0:00:00 ETA: 0:00:00"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"\r",
|
||||||
|
"\u001b[38;2;236;255;0m 63%\u001b[39m \u001b[38;2;236;255;0m(7 of 11)\u001b[39m |############### | Elapsed Time: 0:00:00 ETA: 0:00:00"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"\r",
|
||||||
|
"\u001b[38;2;185;255;0m 81%\u001b[39m \u001b[38;2;185;255;0m(9 of 11)\u001b[39m |#################### | Elapsed Time: 0:00:00 ETA: 0:00:00"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"\r",
|
||||||
|
"\u001b[38;2;160;255;0m 90%\u001b[39m \u001b[38;2;160;255;0m(10 of 11)\u001b[39m |##################### | Elapsed Time: 0:00:00 ETA: 0:00:00"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"name": "stderr",
|
"name": "stderr",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
@@ -1945,7 +1985,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1984,10 +2024,10 @@
|
|||||||
"id": "891e3b75",
|
"id": "891e3b75",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.198482Z",
|
"iopub.execute_input": "2025-04-03T19:33:53.212269Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.198260Z",
|
"iopub.status.busy": "2025-04-03T19:33:53.211860Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.214885Z",
|
"iopub.status.idle": "2025-04-03T19:33:53.259372Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.214249Z"
|
"shell.execute_reply": "2025-04-03T19:33:53.257058Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2026,16 +2066,16 @@
|
|||||||
"id": "54715029",
|
"id": "54715029",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.218081Z",
|
"iopub.execute_input": "2025-04-03T19:33:53.263753Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.217683Z",
|
"iopub.status.busy": "2025-04-03T19:33:53.263235Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.501731Z",
|
"iopub.status.idle": "2025-04-03T19:33:53.665292Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.500504Z"
|
"shell.execute_reply": "2025-04-03T19:33:53.663172Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2088,10 +2128,10 @@
|
|||||||
"id": "b3cd8b66",
|
"id": "b3cd8b66",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.505073Z",
|
"iopub.execute_input": "2025-04-03T19:33:53.669951Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.504839Z",
|
"iopub.status.busy": "2025-04-03T19:33:53.669276Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.519804Z",
|
"iopub.status.idle": "2025-04-03T19:33:53.713659Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.519297Z"
|
"shell.execute_reply": "2025-04-03T19:33:53.710699Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2127,17 +2167,17 @@
|
|||||||
"id": "ea8d6bc5",
|
"id": "ea8d6bc5",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.523112Z",
|
"iopub.execute_input": "2025-04-03T19:33:53.717419Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.522834Z",
|
"iopub.status.busy": "2025-04-03T19:33:53.717296Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.644337Z",
|
"iopub.status.idle": "2025-04-03T19:33:53.778191Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.643251Z"
|
"shell.execute_reply": "2025-04-03T19:33:53.776227Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2190,16 +2230,16 @@
|
|||||||
"id": "812a47a1",
|
"id": "812a47a1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.648530Z",
|
"iopub.execute_input": "2025-04-03T19:33:53.781510Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.647173Z",
|
"iopub.status.busy": "2025-04-03T19:33:53.780977Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.756140Z",
|
"iopub.status.idle": "2025-04-03T19:33:53.897521Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.755581Z"
|
"shell.execute_reply": "2025-04-03T19:33:53.894935Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAArEAAALFCAYAAADUabv6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAAC4g0lEQVR4nOzddXhT5xcH8G/qBdpCgeLuMtw2fMOGDCYwwYcMhg3YGDJsjMEYMFw3fPiQDXcb7jDchhYdLZRSvb8/zi9pbqS0pcmNfD/PkwfyRnqatsm5733fc3SKoiggIiIiInIiHloHQERERESUXExiiYiIiMjpMIklIiIiIqfDJJaIiIiInA6TWCIiIiJyOkxiiYiIiMjpMIklIiIiIqfDJJaIiIiInA6TWCIiIiJyOkxiyekNGzYMOp0OOp3OZl+jVq1a0Ol0qFWrls2+BgDcuHHD8L3MmzfPpl/L3ezatcvw2u7atUvrcOj/4uLiMHHiRFSqVAmBgYGGn1GzZs20Do2IHByTWDdh/AFuekmTJg3y5MmDZs2aYfHixYiNjdU6XCJyE59++im++uorHDlyBM+ePdM6HCJyIkxiCZGRkbh58ybWrl2Lli1b4q233kJoaKimMc2bN8+QZN+4cUPTWIjINvbv348VK1YAABo1aoStW7fi9OnTOHPmDCZNmqRxdETk6Ly0DoDsr2vXrvjyyy8N158/f46jR49i3LhxuHHjBo4cOYKmTZvi4MGDNj1Fn1qGDRuGYcOGaR0GESXTtm3bAACenp5YvHgxAgMDNY6IiJwJk1g3FBISgpIlS6rGqlSpgpYtW6JSpUq4cuUKDh8+jHXr1qFJkyYaRUlEru7OnTsAgCxZsjCBJaJk43ICMsiQIQMGDBhguL5p0yYNoyEiVxcVFQUA8Pb21jgSInJGTGJJpVKlSob///vvv4b/R0REYNmyZejYsSPKlCmDoKAgeHt7I3PmzKhZsybGjh2L58+fJ/rc+jWu+lP/O3bsQPPmzZErVy54e3sjb968hg1o7du3NzwuX758ZpvRjHeXv6o6QXR0NP766y90794dFStWRIYMGeDt7Y2MGTOicuXKGDZsGB49epSCVyv54uLiMG3aNFSuXBmBgYEICgpCuXLlMHbsWMMHelKtWbMGzZs3R+7cueHn54f06dOjQoUKGD58OP777z+rj2vXrh10Oh3y5s0LQGbD+vTpg8KFCyNNmjTInDkzGjVqlOSDmLCwMIwaNQpVq1ZF5syZ4ePjg2zZsqFJkyZYuXIlFEWx+ljT34kjR47g008/Rc6cOeHr64scOXKgdevWOH/+/CvjiIyMxI8//ojSpUsjbdq0yJgxI6pWrYrZs2cjPj4+Sd8LID+j+fPno3HjxsiePTt8fX2RMWNGVKtWDePHj0dkZKTVx5pWsdC/tgULFoS/vz8yZsyI+vXrY+PGjUmK5eHDh/j+++9RtWpVhISEwNvbGxkyZEDlypXRr18/nD592upjX758iSlTpuCdd95B1qxZ4ePjg5CQENSpUwe//fZbqm3gPHPmDDp37oxChQohTZo0CAgIQIkSJdC7d2+r69n1P/f58+cDkPca07/xpIiJiUHWrFmh0+nQoEGDV97/7NmzhucfM2aMxfuEhoZi0KBBqFChAoKDg+Hr64tcuXKhRYsWhuUP1vz333+YO3cuWrVqheLFiyNdunTw8fFB1qxZUb9+fcyaNQvR0dFWH2+pOsmqVavQsGFDZM+eHV5eXimukPLw4UN89913KFu2LNKnTw8/Pz/kzZsXrVu3xr59+xJ9bN68eaHT6dCuXTsAwMWLF9GpUyfkzZsXvr6+yJIlC95//30cPHgwRbEBQPfu3aHT6ZAtWzaLtxu/Nh4eHnjy5InZfWJjYxEQEACdTof+/fub3X7w4EF89913qFWrluFvIjAwEMWLF0fXrl1x7ty5JMV68+ZNdO3aFfny5YOfnx+yZ8+OZs2aYefOnQCSXjHndd476f8Ucgs7d+5UACgAlKFDh1q934ULFwz3a9CggWG8Zs2ahnFrl3z58innz5+3+tzGX3/gwIFmj8+TJ48qzsQuO3fuNDzv0KFDDeOWtG3b9pXPlzFjRmXfvn1WY9d//zVr1rR6n1d59uyZUr16dasxlCtXTjl+/Ljh+ty5cy0+z5MnT5S333470e8nJCREOXDgQKKvR548eZQjR44oISEhVp+nT58+iX5P27ZtUzJmzJhoLA0bNlSePXtm8fHGvxNTp05VvLy8LD5HmjRplN27d1uN4969e0qxYsWsxlC/fn1l8+bNFn9/jP37779K6dKlE/1+ChYsqFy8eNHi441/T/bt26dkypTJ6vP8/PPPib62ixYtUtKmTZtoLHny5LH42JMnTyp58uRJ9LEVK1ZUQkNDE43hVX788UfFw8PD6tfw9fVV5s+fb/a4pPyNJ9U333yjAFA8PDyU27dvJ3rf3r17KwAULy8v5d69e2a3J+U179ChgxITE2Px+V/1mgNQypYta/FrK4qiXL9+3XC/OXPmKK1btzZ7fEregzZv3qwEBgYmGle3bt2UuLi4RL+vtm3bKqtWrVLSpElj8Tk8PT2VpUuXJjs+RVGU5cuXG57H0ufIvHnzVF9r9erVZvc5ePCg4faNGzeqbps7d+4rfzaenp7K1KlTE41z+/btSrp06Sw+XqfTKSNHjnzlZ5KivP57JwkmsW4iqUnsihUrDPf7/PPPDeNVq1ZV3njjDWXQoEHK6tWrlUOHDikHDx5Uli1bpnzyySeGD7IiRYookZGRFp9b/7xvvPGG4d85c+Yohw8fVnbv3q1MnDhRef78uXLmzBnlhx9+MNx/8+bNypkzZ1SX58+fG573VW8YLVu2VPLnz6/07dtXWbZsmXLgwAHlyJEjysqVK5UuXbooPj4+CgAlc+bMyv379y0+R2oksU2bNjXEWalSJWXJkiXK0aNHlfXr1yvNmzc3JBb6+1hKYl++fKmUK1fO8IbbunVrZcmSJcrBgweVvXv3KiNHjjS8MWbIkEG5ceOG2XPok9jMmTMrefPmVXx9fZX+/fsre/bsUQ4dOqRMmjRJyZYtmyGOCRMmWPx+9u3bp3h7eysAlCxZsig//PCD8tdffynHjh1T/vrrL6VVq1aG5/jggw8sPof+9ipVqigeHh5K6dKllTlz5ihHjhxR9uzZo/Tu3dvwu5U7d24lKirK7DliYmKU8uXLG56rXr16yurVq5WjR48qq1atUurUqWP22lpKYh89eqTkypXLkHx1795dWbFihXLkyBFl586dyoABAwwf3vnz51eePn1q9hz635PChQsrmTJlUkJCQpTRo0cr+/btUw4fPqyMHz9eSZ8+vSGROnv2rMXXZcGCBYZY/fz8lB49eigbNmxQjh8/ruzZs0eZMmWKUq9ePSVfvnxmj718+bISFBSkAFACAwOVAQMGGF6PzZs3K926dTMcLFSuXFmJjo62GMOrTJ061RBj5syZlbFjxyoHDhxQ9u3bpwwbNsyQDOp0OmX9+vWqx+r/jvV/E9mzZzf7G0+qixcvGuL48ccfrd4vOjpayZw5swJAadKkidnty5YtU3Q6neHnO378eGXTpk3KsWPHlD/++ENp2LCh4ev07t3b4tfImTOnUrlyZWXEiBHKunXrlCNHjih///23smjRIqVBgwavTESNk9hSpUopAJTq1asrixcvVo4ePaps27ZN+fXXX5P82iiKopw4ccLwHuft7a307t1b2blzp3L48GFl5syZSr58+Qxfs1+/fhafQ5/ElitXTvHz81Py5cunTJkyRTl48KBy4MABZdiwYYqfn5/hd+7BgwfJilFRFOX+/fuGOKZPn252e7t27VQJXq9evczuM3r0aMPfVnh4uOq22bNnKxkyZFDatWunzJkzR9m7d69y/PhxZd26dcr3339vOODU6XTK9u3bLcZ49epVw++1l5eX0qNHD2X79u3KkSNHlLlz5yrFixc3/F0l9pmUGu+dJJjEuomkJLExMTFKlSpVDPdbsGCB4bZLly4l+vxbt241JBvW3mSN34Deeecd5eXLl1afz/io+fr164l+7VclsVeuXFHi4+OtPv706dOGI+vvvvvO4n1eN4ldt26d6uja0kzO8OHDVa+RpSRWP4OdPn165ejRoxa/1o0bNwxJ6GeffWZ2u/HMtLe3t8UZzjt37ig5c+ZUAChp06Y1+1CKjo5W8ubNqwAyYx8REWExllmzZhm+1pYtW8xuN511sJSkGh/QrFq1yuz2KVOmGG7v3LmzxTg+//xz1deylMR+9tlnCiCzm9euXbP4PMePHzd8iA0cONDsduMzFnny5LE4M7h3715DstSzZ0+z2+/evWtIlkNCQhJN6G7evGk29tZbbymAzPg9fPjQ4uM2btxo+HudNWuW1ee35sGDB4YYs2fPbjEO49cqR44cFpNl47MCr0N/hqNw4cJW77Nq1SrDz8Z0Fu/hw4eGxP/zzz+3OtOq//vz8PBQLly4YHb7q94n58yZY4hh27ZtZrcbJ7EAlDZt2iT63pUU+oM3T09PZfPmzWa3P3nyxJB8eXh4WDywMp5hLl++vBIWFmZ2n0WLFhnuM378+BTFqj+b8vHHH5vdpk+2mzRpogBQSpcubXafd999VwFkksDU7du3rb5PKYqiPH361HDgUK1aNYv3adasmdXfIUVRlIiICKVSpUqqn6Gp1HrvJMEk1k0klsQ+f/5c2bVrl1KrVi3VB3BiSaYl+j/wxo0bW7xd/9weHh6vTExTM4lNiq+++koBoJQsWdLi7a+bxOpncXx9fZU7d+5YvE9cXJxSsmRJq0nss2fPDB+0kydPTvTrTZs2zZCkGs9aK4o6ie3evbvV51i2bJnhfqanvvUzhX5+fq+cddG/qVtKqPXP7+fnZ3UWPDw83DCTZGkGTP8BnCVLFqsfCM+ePTPMwllKYq9fv654enoqAJS//vor0e+nX79+huTNlHELine truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2251,10 +2291,10 @@
|
|||||||
"id": "88ff3def",
|
"id": "88ff3def",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.759390Z",
|
"iopub.execute_input": "2025-04-03T19:33:53.903332Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.759130Z",
|
"iopub.status.busy": "2025-04-03T19:33:53.902411Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.788899Z",
|
"iopub.status.idle": "2025-04-03T19:33:53.948364Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.788370Z"
|
"shell.execute_reply": "2025-04-03T19:33:53.947139Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2288,16 +2328,16 @@
|
|||||||
"id": "29dbc933",
|
"id": "29dbc933",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.792129Z",
|
"iopub.execute_input": "2025-04-03T19:33:53.951460Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.791875Z",
|
"iopub.status.busy": "2025-04-03T19:33:53.951209Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.909465Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.028760Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.908764Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.025536Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2331,10 +2371,10 @@
|
|||||||
"id": "cdb535b5",
|
"id": "cdb535b5",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.912957Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.037314Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.912683Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.036928Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:37.946458Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.091522Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:37.945953Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.087570Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2364,10 +2404,10 @@
|
|||||||
"id": "2acadc27",
|
"id": "2acadc27",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:37.950913Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.097247Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:37.950529Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.096681Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.082439Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.164314Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.081725Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.163688Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2384,7 +2424,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2417,16 +2457,16 @@
|
|||||||
"id": "a2b8e481",
|
"id": "a2b8e481",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.085348Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.167414Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.085138Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.167155Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.186025Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.249548Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.185091Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.246730Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2464,10 +2504,10 @@
|
|||||||
"id": "1a76b516",
|
"id": "1a76b516",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.189290Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.253007Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.188978Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.252338Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.226707Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.343941Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.226124Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.340978Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2511,10 +2551,10 @@
|
|||||||
"id": "7a68bf04",
|
"id": "7a68bf04",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.229152Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.348524Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.228941Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.348254Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.236919Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.360318Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.236171Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.359165Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2618,10 +2658,10 @@
|
|||||||
"id": "a05df53b",
|
"id": "a05df53b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.239488Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.364260Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.239277Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.363536Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.264822Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.409320Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.264344Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.408390Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2728,10 +2768,10 @@
|
|||||||
"id": "ee9db82c",
|
"id": "ee9db82c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.267342Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.413076Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.267144Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.412575Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.271357Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.417902Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.270406Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.416893Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2765,6 +2805,20 @@
|
|||||||
" known smoothing parameters, but when smoothing parameters have been estimated, the p-values\n",
|
" known smoothing parameters, but when smoothing parameters have been estimated, the p-values\n",
|
||||||
" are typically lower than they should be, meaning that the tests reject the null too readily.\n"
|
" are typically lower than they should be, meaning that the tests reject the null too readily.\n"
|
||||||
]
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70598/2135516388.py:1: UserWarning: KNOWN BUG: p-values computed in this summary are likely much smaller than they should be. \n",
|
||||||
|
" \n",
|
||||||
|
"Please do not make inferences based on these values! \n",
|
||||||
|
"\n",
|
||||||
|
"Collaborate on a solution, and stay up to date at: \n",
|
||||||
|
"github.com/dswah/pyGAM/issues/163 \n",
|
||||||
|
"\n",
|
||||||
|
" gam_full.summary()\n"
|
||||||
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"source": [
|
"source": [
|
||||||
@@ -2787,10 +2841,10 @@
|
|||||||
"id": "cf0a024d",
|
"id": "cf0a024d",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.274135Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.424651Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.273728Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.423895Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.283548Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.439571Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.283095Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.438937Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -2813,10 +2867,10 @@
|
|||||||
"id": "0fe9f031",
|
"id": "0fe9f031",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.286193Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.451992Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.285994Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.451137Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.372533Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.849000Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.372014Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.847284Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2847,17 +2901,17 @@
|
|||||||
"id": "bdc73505",
|
"id": "bdc73505",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.375490Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.855349Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.375048Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.853647Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.476110Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.928284Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.475521Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.926859Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAswAAALBCAYAAABMT/fEAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAYglJREFUeJzt3Qm8jPX///8X2XeyZ0kpS5RSSqGUaE/Jp1WUJaKyhEiWSorUhxTKp2hHaVNZoxJRStnbFGUtITuZ/+35/n2v+c85Zt5nDuc4Z8553G+34czMNddc+/W83vO+3u8coVAoZAAAAACiyhn9ZQAAAABCYAYAAAA8CMwAAACAB4EZAAAA8CAwAwAAAB4EZgAAAMCDwAwAAAB4EJgBAAAADwIzAAAA4EFgRqYzcOBAy5Ejh3ukl4suusiNX/+np19//TU8L+PHj0/X78pu5s6dG162+huZw7///msjRoywevXqWZEiRcLrqHnz5hk9aUCGnAcShc5Rwf6qcxeSIjBngbCQ/FGgQAGrXLmyO0G9/vrrdvDgwYyeXADZxM0332xdu3a1r776yv7555+MnhwASBME5ixoz549tnbtWnvvvffs1ltvtfPPP982btyYodPElSuQ9c2fP98mT57s/r7yyitt5syZ9v3339vSpUtt5MiRGT15QLbDL3Fph8CcBXTq1MmdkILHggUL7JlnnrETTzzRva+SnmuvvdZCoZAlSpUMTWuiTC+A/2fWrFnu/+OOO879utWkSROrXbu21apVyypVqpTRkwfAo02bNuFzb5Af8P/LFfE3ElTp0qXdCSnSeeed50qXVY/wp59+skWLFtnUqVPt6quvzrDpBJC1/fHHH+7/MmXKuPrLAJBVUMKchRUvXtz69OkTfj5t2rQMnR4AWdu+ffvc/7lz587oSQGANEVgzuJUwhz47bffwn/v2rXLJk6caO3atbM6depY0aJF3UmuVKlSduGFF9qTTz5pO3fu9I47qBelKhTyySefWMuWLa1ixYpuXPpJJ6g/dccdd4Q/V6VKlcNuVIysW5VSKxn79++3Dz74wLp06WLnnHOOuzDQ9x1//PF27rnnus//+eefdqxaBHjuuefc96pETcvxrLPOcssvCA/xevfdd93y00/X+fLls2LFitnZZ59tgwYNsr///tv7M5qWVfATmkr5unfvbqeeeqq7AVTrVPVJ471g2r59uw0ZMsQuuOAC99k8efJYuXLl3K8Tb731lreqTPJtQtWBdBNYhQoVLG/evHbCCSdYq1atbOXKlXHVxX/sscfsjDPOsIIFC7r1q2l64YUX7NChQ5aadTRhwgS76qqrrHz58m46NK4GDRrYU0895b4n3rvog2VbtWpVy58/vxtPs2bN7OOPP45rWrZs2WIPP/ywmw/9MqTtVtuvtp9evXq5+r6x7N2710aNGmWXXHKJlS1b1q0XjUPVHv73v/+l2c29qtbVoUMHO+WUU9z2U7hwYTvttNOsW7duMe8/CNa7lnNwrEm+j8dL60nD61eylOpklihRIuq2oHs2gmHGjBmT5D0Nr2PV/fff79ZDyZIl3XrQ/qZjoV7XPSDxWLZsmd1+++1u+9Y+q333tttus2+++SbqvhmLpvfBBx90+7vmSduojqP/+c9/wtVc0oKOmzfccEN4f9T2W79+fXv88ce9x/vk96BoGT7//PPu/hhtv9o/Tz/9dBs8eLDt3r07TaY1Lbb3L7/80h1T9XmtH517tG2vXr06ze67SU1LSB999JHbPk466SS3zIJpatGihftstGX3yy+/2PDhw93xV9uRjjt66Mb+G2+8MeZxPZiuxo0bh1/T38n3y8hpjneet2zZYv369bMzzzzT7TeaD02bju3z5s3zLgMNp/Fr3xCti/bt27vXtU3q16nrrrvOrbtMJ4SENGfOHKUW9xgwYEDM4VatWhUe7rLLLgu/fuGFF4Zfj/WoUqVKaOXKlTHHHfn9ffv2PezzlStXTjKdvoeGC2h8wevRtG7dOsXxHX/88aF58+bFnPZg/vX/kfrnn39CDRs2jDkNZ511Vuibb74JP3/ppZeijmfr1q2hiy++2Ds/pUuXDi1YsMC7PLS8v/rqKzdsrPF0797dO0+zZs1yy843LVdccYWb95S2iWeffTaUK1euqOMoUKBA6NNPP405HRs2bAjVqFEj5jQ0a9YsNH369KjbT6TffvstdMYZZ3jnp2rVqqHVq1enuJ1oeypZsmTM8QwbNsy7bF999dVQwYIFvdOidRjNkiVL3Hu+z55zzjmhjRs3ho7GY489FsqZM2fM78ibN29owoQJh30unn08XkOHDnXDa9uJtp0NHDgwyXi//fbbw4Z58803w+8nP4ZFHl9iPbR9TpkyxTudr7zySih37txRP6/Xx48fn2TfPJrtom3btqEDBw6EjtSePXtC1113nfc7ypcvH3VZio5dwXDLly8PXXLJJTHHU69evdDOnTtDRyMttvennnoq5ras5f3hhx96zwOR87xmzZqY36P3UjrG//nnn95lFuvzv/zyS1z71m233XbY9hE5XfF+ZzzzPH369FCRIkW84+zcuXPo33//jfr5YL1q39A+pn0t2jiOO+44tx9nJgTmLB6YJ0+eHB7uzjvvDL9+wQUXhGrXrh168MEHQ++8805o4cKFoS+//DI0ceLE0E033RQ+0FSrVs0dbKMJxqvxBP+/+OKLoUWLFrkwNGLECHfgXLp0aejRRx8ND68dTq9FPiIPsCkF5ltvvTV00kknhXr06OGmV0FSQfGtt94KdezYMZQnTx732VKlSoU2bdqUboH52muvTXKSeOONN0Jff/21OxC3bNkyfFD3HUz37t3rgnVwgGjVqpUbj9bF559/Hho8eHA4wBYvXjz066+/HjaO4KSs+T3xxBNdqHnggQdCn332mVuvI0eODJUrVy48Hf/973+jzo8CYRAAypQp49bZBx98EFq8eLH7XwflYBzXX3991HEE75933nluG1JY1Tah9aPp6datW3jbqlSpUmjfvn2HjUMH/rp164bH1bRpU7eNatnqANukSZPDlm20wKyTVMWKFd37WiZdunRx+4OmRcP36dMnfLDW9rRt27aY28mpp57qwrIuRh5//HG3rLSd66RcrFixcMBbtmxZ1OXy8ssvh6c1X758oXvuuSf00UcfuQsqLZdRo0a5+dRFanI//vhjqGjRou6zOlFpuoPloX1JJ6fgwuTcc88N7d+/P3QkdIETTKO2pSeffNLtW5pXhdQg1OXIkcNt45GC/TjYJxS+ku/j8dJyDabj448/Puz9iy66KMmJ9emnnz5sGB0Hgu04OR3ztD/cfffdLvR+8cUXbht/9913Q7169QoVKlQovJ5WrFgRdRr1Ge2vGk7bUL9+/cL7m5ZjhQoV3HHozDPP9AZmHb+0PINtUNvTtGnT3PS8/fbb7uI0mE/tO0fqP//5T3g82ie1PWo/0PZzxx13hKehRIkSod9///2wz0cGqfPPP9/twzruaDvQtGp7rF+/fngYHX+OVFps7zpOBNOicelCcP78+e6h45rGq/32lFNOSffAvGvXrvA5Ug8d28aOHeu2Ic2T5k3rVvtM8s9rWWg7uvrqq91xXAUaOmbo/+eeey502mmnhcfbv3//JJ/VctF+p+NvMIz+Tr5f/v3333HP87fffhs+v+pcoenWsVT7rOZJx6/g89qXfIFZ5z3tY/qMjn865+l4o2ONXg/W/+bNm0OZBYE5CwdmBQ8Fl2A4HSQDP/zwg3f8M2fODAebcePGRR0m8qSlq2eFv1jiPfjEE5h/+umn0KFDh2J+/vvvvw+f9HQiS4/APHXq1PA06qQWrfRn0KBBMa/kA0HJvA7eOnhGo5AcBN5bbrnFW+Kug1i0kts//vjDncQ1jIJP8oOQDq4K28EvETrIR/P888+Hv2vGjBmHvR85v1ou0QJx5MVTtFI8HTyD9zt06BB1OnTxF/ld0QKzllUQVlRSE41OPkEQ1LpILvKXGI0nWpjQhU0QOO69997D3l+/fn04mCtw+8Lj2rVrD3tNAUWfVfjasmVL1M8pWAb7q9ZRaml7CKZRJ+5o0xG5rE444YSoQSWeEtWUHDx4MFS4cGE3nt69eyd5T8eY4GSqEKH/FdKTC36dUFBMTscf30XFunXr3Pzp87pIjKZOnTrhCzGd6JPThboCcOS2k5zWZRAMtT3HKkEOjhFav/rF8GiOVTpOR9snI/fraMss8vithy40ktO6qVWrlntfF/lHWiJ+tNu75k/bcBCWo130aB+MLCVNz8CsUBm8r7Af69yl6U5eYq6CJB0/YtG42rRpEz6uR7voj8wKsX6Ji3eez/m/QgpdLOriJdqvpTVr1gxvr9EKECJ/OdDFw/bt26P+6hIMo4vIzILAnAUDs3ayuXPnJimJ0UbqC7TRNG/e3H32qquuivp+MG7tGCmF4LQMzPHo2rWr+7wO4OkRmIOSH50wFUaj0U9SwQkk2sFUPzcHJ8xnnnnG+30qTQgCcfKfOyMDs0pRY1FpVqzqA0EJqMJISlf0Kk2PFd6D8Ws8sUr3d+zYES6liFZqFhxwVToYK7hr2akUNNaJQNtYUAKo0nEflYQEQdEXmN9///2Y4wguTHWST04lZME4VIqZGiq1DD6rC8F4ShEVOFLriSeeCH+P72fQyIudSZMmpUtglssvvzxcghhJF4NBEPrkk0/Cv7xE/vyr7S6YRpX2Hgn9CqPPK1QlDzgKyMH477///pjjeO+997yB+eGHHw5ffPiOzQqeQYCPdlEX77LUsSPahVAg+OVGpbfJQ1rk8TvWr0syZsyY8HDfffddqqc1LbZ3bZfBOPQrSTzbfHoFZpXeBheiCoe6GExrf/31V/hYp19Z0yswL1y4MPyefsGJRb9IBcPpVxxfYI61jWifCy56VJUos+CmvyxAN4VFVuIvVKiQu0kpuJFON0rohjJVqPdV4v/xxx/dTSzLine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2891,10 +2945,10 @@
|
|||||||
"id": "44f57a30",
|
"id": "44f57a30",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.478694Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.932765Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.478494Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.931894Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.491764Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.954335Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.491357Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.949457Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -3000,10 +3054,10 @@
|
|||||||
"id": "3b061ffd",
|
"id": "3b061ffd",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.494311Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.958044Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.494116Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.957514Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.498822Z",
|
"iopub.status.idle": "2025-04-03T19:33:54.965133Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.498423Z"
|
"shell.execute_reply": "2025-04-03T19:33:54.964174Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -3034,10 +3088,10 @@
|
|||||||
"id": "220e26ac",
|
"id": "220e26ac",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.501236Z",
|
"iopub.execute_input": "2025-04-03T19:33:54.969033Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.501049Z",
|
"iopub.status.busy": "2025-04-03T19:33:54.967633Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.540965Z",
|
"iopub.status.idle": "2025-04-03T19:33:55.092228Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.540424Z"
|
"shell.execute_reply": "2025-04-03T19:33:55.089007Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -3077,16 +3131,16 @@
|
|||||||
"id": "94209d95",
|
"id": "94209d95",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.543510Z",
|
"iopub.execute_input": "2025-04-03T19:33:55.095854Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.543313Z",
|
"iopub.status.busy": "2025-04-03T19:33:55.095223Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.635421Z",
|
"iopub.status.idle": "2025-04-03T19:33:55.148813Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.634852Z"
|
"shell.execute_reply": "2025-04-03T19:33:55.147907Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3111,16 +3165,16 @@
|
|||||||
"id": "b86a257f",
|
"id": "b86a257f",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.637945Z",
|
"iopub.execute_input": "2025-04-03T19:33:55.152362Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.637732Z",
|
"iopub.status.busy": "2025-04-03T19:33:55.151749Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.738536Z",
|
"iopub.status.idle": "2025-04-03T19:33:55.224762Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.737576Z"
|
"shell.execute_reply": "2025-04-03T19:33:55.224034Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3144,17 +3198,17 @@
|
|||||||
"id": "075082df",
|
"id": "075082df",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.741522Z",
|
"iopub.execute_input": "2025-04-03T19:33:55.228948Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.741306Z",
|
"iopub.status.busy": "2025-04-03T19:33:55.228423Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.853209Z",
|
"iopub.status.idle": "2025-04-03T19:33:55.297977Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.852962Z"
|
"shell.execute_reply": "2025-04-03T19:33:55.296769Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAtgAAALFCAYAAAD5m5RAAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAoftJREFUeJzt3Qm8VPMbx/FvKhXRorRQlChLInvWiCJL1rKHLJGIP8qSNSG7UNbsSyT7kuw7UZEkWcqStUWhdf6v7znmut072625s37er9d0u3Nm7v3dMzNnnvmd5/c8VSKRSEQAAAAA0mKl9PwYAAAAAEaADQAAAKQRATYAAACQRgTYAAAAQBoRYAMAAABpRIANAAAApBEBNgAAAJBGBNgAAABAGhFgAwAAAGlEgJ0HLrroIlWpUiW4VJZddtkl+Pn+Wpm+/fbbkr9lxIgRlfq7is1rr71Wsm/9f+SGJUuW6IYbbtDWW2+t1VdfveQx6tatW8aPAZl4nWfieAUAuW6lQgwuyl5WWWUVrbPOOsEb2oMPPqjFixdne7gAisShhx6q008/XR9++KH+/PPPbA8HAJABBRNgJ/L3339r+vTpevLJJ3X44YerQ4cOmjlzZlbH5Nnb6AcAz+oCKDzvvPOORo4cGfy/a9euGjNmjCZOnKhPP/1UN954Y7aHB+SETL8fcpYFmVBNBah37946+eSTS76fN2+ePvroI11zzTXBi9czSfvtt5/ee++9vHiB+WDgC4D88vLLLwdfq1atGpw9c4pINpE6BACZUZAB9pprrqlNNtlkmeu23XbbYPbaeZBfffWVPvjgAz3zzDPaZ599sjZOAIXthx9+CL42atQo68E1ACBziiJFJKpevXoaMGBAyfcvvPBCVscDoLAtWLAg+Fq9evVsDwUAkEFFFWCbZ7Cjvvvuu5L/z58/X4888oh69eqlzTbbTHXq1AneFBs2bKidd95ZV199dZBqkkg0pyuazvHKK6/o4IMPVrNmzYKfte6665YsxjzmmGNK7teiRYtyCzNLn8pNli+2cOFCPf300+rTp4+22mqr4IOEf98aa6yhbbbZJrj/b7/9pkxVTLjllluC3+sZO+/H9u3bB/svGmykavTo0cH+a968uWrWrKm6detqyy231MUXX6xZs2bFvV/Pnj2DfeX9HZ1FPOOMM7TBBhsEC179mDofNtUPWHPmzNHgwYO1/fbbB/ddeeWV1aRJk+Dsx2OPPaZIJJLyc8LpSV70tvbaa6tGjRpaa621dOSRR2ry5MkprSW4/PLL1a5dO6266qrB4+sx3X777Vq6dKkq8hjdc8892nvvvdW0adNgHP5ZO+ywg6699trg96RahSK6b1u1aqVatWoFP6dz5856/vnnUxrLr7/+qksuuST4O3zmyc9bP3/9/Dn77LODfOV4/vnnHw0dOlS77babGjduHDwu/hmdOnXSnXfembbFzM6XPuGEE7T++usHz5/VVltNG2+8sfr16xc3XzT6uHs/R481ZV/jK8J/+5AhQ4LXlsfji49t3h+J/u5Uq4jce++9wXHPj0Xt2rXVtm3b4HGaO3fuMn9fKqlryzvWiliR12imjv2VcUywjz/+WCeddJJat24dPFY+Nvj/TpX88ssvU8579vH5+uuvD872NmjQIOXHt6wnnngiKCgQ/Xv8eLds2VI77rijLrjgguDscdTyvB+a0zvPP//84Hkcfe37/WajjTYK/u7PP/884d/s95CoWIURSr+u/dj5Or+vJFL2fSfWcde/38fH6Jj9XPNxxccwH9vjjTtVPp56v2y++ebB+6XfNz0eP5/eeuuthPct+3dOmTJFxx9/fHC9H0efhdt///2Dfb+ivv766yBl169P/3y/d/jiYhTdu3dP+b35r7/+0qWXXqpNN9205D3R72N33XVX8JpPtbLWirwnJhQpEK+++qqPoMHlwgsvjHu7L774ouR2Xbp0Kbl+5513Lrk+3qVFixaRyZMnx/3ZpX//ueeeW+7+66yzzjLjTHTx7aL886LXx3L00Ucn/XlrrLFG5K233oo79ujf76/L688//4zsuOOOccfQvn37yMcff1zy/d133x3z5/zxxx+RXXfdNeHfs+aaa0befffdhPvD+/vDDz8Mbhvv55xxxhkJ/6aXX3452HeJxrLXXnsFf3uy58TNN98cqVatWsyfscoqq0Ref/31uOP46aefIhtuuGHcMXTu3Dny4osvxnz+lPbdd99F2rVrl/DvadWqVWTKlClJnyd+PjVo0CDuzxkyZEjCfXv//fdHVl111YRj8WMYy/jx44Ntie671VZbRWbOnBlZEZdffnlkpZVWivs7atSoEbnnnnvK3S+V13hFlD4G+G/abLPN4v7cffbZJ7JkyZLlep0vXLgwst9++8X92euvv37k22+/XeZ5XVljTdWKvkYzdexP9zHB+61fv36RKlWqxB23f/bw4cNj3t/H3+jtfJyM9Tglei8ta/HixZGDDz446b7cYostSu6zPO+Hpccd71K1atVg3yb6mxNdvvnmm5L7RI8zfl9JpPT7TkXfG6OXAw88MLK8fPxfffXVE/78U045Je7rrfTfOWrUqOD5F2/fPvzww8s9zq+//jqlx+CII46ILFq0KO7PmTFjRnA8inf/vffeO/LSSy/FfA6l8z0xkaILsEeOHFlyu2OPPbbk+u233z7Stm3byHnnnRd54oknIu+//37kvffeizzyyCORHj16lLzJtm7dOvL333/H/NnRn+ufE/161113RT744IPgQHnDDTdE5s2bF/n0008jl112Wcnt/cLwdaUvvl2qAfbhhx8eadmyZeTMM88MxuvA0wfMxx57LHLSSSdFVl555eC+DRs2jPz888+VFmCXfmPeeuutIw899FDko48+ijz77LMlB14HPYkC7H/++ScIxKMv5COPPDL4OX4s3nzzzcigQYNK3kzr1asXvNnHO9D571133XWDIKh///6RN954I3hcb7zxxkiTJk1KxnH99dfH/HscQFavXj24TaNGjYLH7Omnn46MGzcu+OoDQPRnHHDAATF/RnT7tttuGzyH/EL2c8KPj8fjN8joc6t58+aRBQsWlPsZPsj4TSn6s/bYY4/gOep96wNhp06dyu3bWAeT3377LdKsWbNgu/dJnz59gteDx+LbDxgwoOSg6ufT7Nmz4z5PNthggyC49oeXK664IthXfp5fe+21kbp165a8uX/22Wcx98u9995bMtaaNWtGTj311Mhzzz0XfADzfhk6dGjwdzqwKWvq1KmROnXqBPf1G4rHHd0ffi35TSQatGyzzTZB0Lg8/AYdHaOfS1dffXXw2vLfetFFF5V8OHCA4+d4adHXcfQ10bRp03Kv8YoofQzo0KFD8Jru27dvZMyYMcHz8cEHH1zmA9iwYcOW63Xeu3fvkp+x8cYbB69RPz/Gjh0bPF/8mvQ+TXSsTddYU5GO12imjv3pPCbYySefXPKzdtppp+BnvPbaa8HvvP3224PHL7r9ySefTBhsbrrppsHz+Kijjgqey95/3hd+TabqpptuKvl5O+ywQ2TEiBHBMduvaT/211xzTWT33XcP3huiluf90H+bj/09e/YM/ubo73jmmWcil1xyScmHfv89ft6WNmvWrODnlX6el/1dvpQ+ZqQjwPZ7c+nAz+9pb7/9drCfn3/++eCDvF8rBx10UGR5fPLJJyXv8349+DnkY7qfC/6A5eNo9PefffbZMX9G9O/0+6+Pyb6Pj8N+Lfi452Oer48ed3/55ZflGuvUqVODsfrDtd+L/QHZj5+/3nLLLcs8bwcOHBjzZ/jx8XM2eruuXbtGRo8eHbwH+Ks/UEeP/5X9nphIUQXYDlR8UIvezm/yUV9++WXCn+8DRPSgd8cdd8S8TelPPLvttlsQLMZT+uBW+tNyLMkC7K+++iqydOnSuPefOHFipHbt2sH9zz///EoJsH1wi47RT+5YnzwvvvjiZfZRrAA7OvvjIM0vllgcVEcD5MMOOyzhjL4PNrFmgX744YfI2muvHdzGgVLZg4VfwA7Oo2c65s+fH3Mst912W8nv8qflskr/vd4vsd4sS7+5OGAuywe56PYTTjgh5jj8YbH074p1MPG+ir4BeBYhFh/oooGjH4tEs33+Od9//3252/gNLzqr5sCqrB9//LHkoOUAPVGwOX369HLX+Y3I9918880jv/76a8z7+U0r+nr1Y1RRfj5Ex+jgONY4Su+rtdZaK2Ygn+hNtyJKHwP8nI71+P7+++9BkBkNmCr6OvffE33ctttuu8hff/2VcIIilQB7RcaaTLpeo5k+9qfjmFB6Zi7emPxhIHom0M+/ssfksrO58X5OqqIztA5qEs08+rFfkfdDH3PiPdbmICgafDnQX5731NLSEWBHg7hkAXSsfZOK6OSKPwD7A0qss8IbbbRRcBs/l2NNfJQ+I+gJnTlz5sQ86xi9jSdTlse8efOC94B4HMv4w1P0vTlWUOtJseg4Tj/99Jg/x8FyJt4TI8UeYPsB9Sf7XXbZZZngINFBMJZu3bqVfAKNJfqz/QROdpBIZ4CdCj8Jff9NNtmkUgLs6CdGfwp08BqLT03598cLsH0aLToz6dmQRPxJN/oGXnp2o2yA7RdZPJ6hipfOEJ1h9Sf2ZJ/UPSMTL9iP/nz/nHhnD+bOnVsy++CZh7KiB0YHJPHeWLzvPMsa72Di55gPvt7mmb1EPMMRDSwTBdhPPfVU3J8R/SDrILgszwpEf4ZnGyrCM3zR+/qDYyKHHHJIcDsH5BV15ZVXlvyeRKdDSwdCjz76aEYC7ERpTT5T49s4UE50BiLW69xnu6K/I96ZB9t///1TDrBXZKzJpOs1muljfzqOCdHAOVlKweeffx73w0Xp9yD/vBUVPV0fa7zJVOT9MBU+rkR/nmcpsx1gR8+ylD6TkS4+4xL9W/waTnS2J3o7n/1IFGBPmDAhbvDr9wXfxseByvL777+XvF/Line truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3192,17 +3246,17 @@
|
|||||||
"id": "ecef97c8",
|
"id": "ecef97c8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:38.854567Z",
|
"iopub.execute_input": "2025-04-03T19:33:55.301548Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:38.854494Z",
|
"iopub.status.busy": "2025-04-03T19:33:55.300921Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:38.953710Z",
|
"iopub.status.idle": "2025-04-03T19:33:55.392273Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:38.953441Z"
|
"shell.execute_reply": "2025-04-03T19:33:55.391971Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3242,8 +3296,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -3255,7 +3309,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Tree-Based Methods
|
# Tree-Based Methods
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch08-baggboost-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch08-baggboost-lab.ipynb">
|
||||||
|
|||||||
+152
-158
@@ -1,11 +1,5 @@
|
|||||||
{
|
{
|
||||||
"cells": [
|
"cells": [
|
||||||
{
|
|
||||||
"cell_type": "markdown",
|
|
||||||
"id": "004a2f9a",
|
|
||||||
"metadata": {},
|
|
||||||
"source": []
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "934eb5b1",
|
"id": "934eb5b1",
|
||||||
@@ -35,10 +29,10 @@
|
|||||||
"id": "0f4c7654",
|
"id": "0f4c7654",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.079955Z",
|
"iopub.execute_input": "2025-04-03T19:33:56.538518Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.079505Z",
|
"iopub.status.busy": "2025-04-03T19:33:56.538444Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:40.907476Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.461439Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:40.907166Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.461138Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -67,10 +61,10 @@
|
|||||||
"id": "8d6cbed4",
|
"id": "8d6cbed4",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.909130Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.463014Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.909012Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.462900Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:40.959537Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.545573Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:40.959331Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.545313Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -115,10 +109,10 @@
|
|||||||
"id": "d85f1550",
|
"id": "d85f1550",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.960966Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.547131Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.960851Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.546998Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:40.965270Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.551787Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:40.965080Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.551553Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -146,10 +140,10 @@
|
|||||||
"id": "36229722",
|
"id": "36229722",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.966447Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.552963Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.966356Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.552868Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:40.975698Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.563391Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:40.975481Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.563145Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -181,10 +175,10 @@
|
|||||||
"id": "587701c2",
|
"id": "587701c2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.976920Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.564667Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.976850Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.564592Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:40.981259Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.570215Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:40.981057Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.569974Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -637,10 +631,10 @@
|
|||||||
"id": "a0194963",
|
"id": "a0194963",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.982399Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.571414Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.982321Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.571323Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:40.984527Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.573854Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:40.984345Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.573655Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -684,10 +678,10 @@
|
|||||||
"id": "ef173e93",
|
"id": "ef173e93",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.985725Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.574968Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.985647Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.574883Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:40.988104Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.577601Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:40.987929Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.577406Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -727,17 +721,17 @@
|
|||||||
"id": "06cd42f6",
|
"id": "06cd42f6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:40.989180Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.578703Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:40.989116Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.578619Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.199225Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.790070Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.198700Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.787052Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1200x1200 with 1 Axes>"
|
"<Figure size 1200x1200 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -775,10 +769,10 @@
|
|||||||
"id": "b6812ee3",
|
"id": "b6812ee3",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.202511Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.795177Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.202113Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.794516Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.207460Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.803228Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.206250Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.801841Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -840,10 +834,10 @@
|
|||||||
"id": "7c731ea6",
|
"id": "7c731ea6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.210453Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.806328Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.210211Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.806104Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.223833Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.821842Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.223373Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.820604Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -896,10 +890,10 @@
|
|||||||
"id": "84680f6a",
|
"id": "84680f6a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.227054Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.825954Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.226781Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.825446Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.230834Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.830795Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.230042Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.829694Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -929,10 +923,10 @@
|
|||||||
"id": "1c5dbf1d",
|
"id": "1c5dbf1d",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.233920Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.837384Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.233718Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.835775Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.243506Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.846267Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.242998Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.844749Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -969,10 +963,10 @@
|
|||||||
"id": "8cf23460",
|
"id": "8cf23460",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.246374Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.849358Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.246047Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.848842Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.251681Z",
|
"iopub.status.idle": "2025-04-03T19:33:57.862585Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.251155Z"
|
"shell.execute_reply": "2025-04-03T19:33:57.860405Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -999,10 +993,10 @@
|
|||||||
"id": "62abb2be",
|
"id": "62abb2be",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.255029Z",
|
"iopub.execute_input": "2025-04-03T19:33:57.872936Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.254557Z",
|
"iopub.status.busy": "2025-04-03T19:33:57.872306Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.484614Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.107084Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.484364Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.106846Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1033,7 +1027,7 @@
|
|||||||
"id": "0787b680",
|
"id": "0787b680",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"Let’s take a look at the pruned true."
|
"Let’s take a look at the pruned tree."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -1042,17 +1036,17 @@
|
|||||||
"id": "8311d318",
|
"id": "8311d318",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.485939Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.108440Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.485856Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.108366Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.957648Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.530145Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.957387Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.529868Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1200x1200 with 1 Axes>"
|
"<Figure size 1200x1200 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1084,10 +1078,10 @@
|
|||||||
"id": "36d1cd8f",
|
"id": "36d1cd8f",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.959153Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.531485Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.959051Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.531382Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.961196Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.533531Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.960938Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.533312Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1124,10 +1118,10 @@
|
|||||||
"id": "f0f7bd8c",
|
"id": "f0f7bd8c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.962629Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.534778Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.962538Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.534693Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.967670Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.539435Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.967362Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.539165Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1230,10 +1224,10 @@
|
|||||||
"id": "663d8cba",
|
"id": "663d8cba",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.969083Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.540825Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.969008Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.540752Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.977175Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.550403Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.976947Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.550172Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1260,10 +1254,10 @@
|
|||||||
"id": "e2f6482c",
|
"id": "e2f6482c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.978554Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.551716Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.978483Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.551637Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:41.980648Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.554034Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:41.980414Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.553810Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1291,16 +1285,16 @@
|
|||||||
"id": "55ff65dd",
|
"id": "55ff65dd",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:41.981863Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.555212Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:41.981787Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.555138Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:42.157435Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.697536Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:42.157194Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.697210Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1200x1200 with 1 Axes>"
|
"<Figure size 1200x1200 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1345,10 +1339,10 @@
|
|||||||
"id": "681b183e",
|
"id": "681b183e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:42.158836Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.699190Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:42.158742Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.699058Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:42.194904Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.739446Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:42.194697Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.739180Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1380,10 +1374,10 @@
|
|||||||
"id": "78a255e3",
|
"id": "78a255e3",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:42.196310Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.740764Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:42.196237Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.740684Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:42.198627Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.743246Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:42.198405Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.743035Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1391,7 +1385,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"28.06985754975404"
|
"28.069857549754044"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 22,
|
"execution_count": 22,
|
||||||
@@ -1426,17 +1420,17 @@
|
|||||||
"id": "d6f01ff8",
|
"id": "d6f01ff8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:42.199859Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.744386Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:42.199787Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.744313Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:42.377590Z",
|
"iopub.status.idle": "2025-04-03T19:33:58.885793Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:42.377308Z"
|
"shell.execute_reply": "2025-04-03T19:33:58.885495Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1200x1200 with 1 Axes>"
|
"<Figure size 1200x1200 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1487,10 +1481,10 @@
|
|||||||
"id": "6f7ba658",
|
"id": "6f7ba658",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:42.379199Z",
|
"iopub.execute_input": "2025-04-03T19:33:58.887312Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:42.379090Z",
|
"iopub.status.busy": "2025-04-03T19:33:58.887194Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:42.503843Z",
|
"iopub.status.idle": "2025-04-03T19:33:59.020842Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:42.503577Z"
|
"shell.execute_reply": "2025-04-03T19:33:59.020537Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1935,10 +1929,10 @@
|
|||||||
"id": "82e484c3",
|
"id": "82e484c3",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:42.505229Z",
|
"iopub.execute_input": "2025-04-03T19:33:59.022227Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:42.505151Z",
|
"iopub.status.busy": "2025-04-03T19:33:59.022133Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:42.567276Z",
|
"iopub.status.idle": "2025-04-03T19:33:59.069912Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:42.567039Z"
|
"shell.execute_reply": "2025-04-03T19:33:59.069626Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1954,7 +1948,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1988,10 +1982,10 @@
|
|||||||
"id": "c8de558e",
|
"id": "c8de558e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:42.568858Z",
|
"iopub.execute_input": "2025-04-03T19:33:59.071344Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:42.568766Z",
|
"iopub.status.busy": "2025-04-03T19:33:59.071248Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:43.181163Z",
|
"iopub.status.idle": "2025-04-03T19:33:59.727901Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:43.180926Z"
|
"shell.execute_reply": "2025-04-03T19:33:59.727665Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2037,10 +2031,10 @@
|
|||||||
"id": "bbebeb55",
|
"id": "bbebeb55",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:43.182422Z",
|
"iopub.execute_input": "2025-04-03T19:33:59.729294Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:43.182350Z",
|
"iopub.status.busy": "2025-04-03T19:33:59.729211Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:43.262543Z",
|
"iopub.status.idle": "2025-04-03T19:33:59.818356Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:43.262340Z"
|
"shell.execute_reply": "2025-04-03T19:33:59.818091Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2080,10 +2074,10 @@
|
|||||||
"id": "36dcca85",
|
"id": "36dcca85",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:43.263779Z",
|
"iopub.execute_input": "2025-04-03T19:33:59.819714Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:43.263707Z",
|
"iopub.status.busy": "2025-04-03T19:33:59.819634Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:43.268724Z",
|
"iopub.status.idle": "2025-04-03T19:33:59.824993Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:43.268512Z"
|
"shell.execute_reply": "2025-04-03T19:33:59.824736Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2238,10 +2232,10 @@
|
|||||||
"id": "4478fc0c",
|
"id": "4478fc0c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:43.270020Z",
|
"iopub.execute_input": "2025-04-03T19:33:59.826285Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:43.269951Z",
|
"iopub.status.busy": "2025-04-03T19:33:59.826212Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:45.951552Z",
|
"iopub.status.idle": "2025-04-03T19:34:02.831808Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:45.951319Z"
|
"shell.execute_reply": "2025-04-03T19:34:02.831548Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2690,16 +2684,16 @@
|
|||||||
"id": "57ac9a1e",
|
"id": "57ac9a1e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:45.952863Z",
|
"iopub.execute_input": "2025-04-03T19:34:02.833132Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:45.952788Z",
|
"iopub.status.busy": "2025-04-03T19:34:02.833055Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:46.246579Z",
|
"iopub.status.idle": "2025-04-03T19:34:03.101998Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:46.246323Z"
|
"shell.execute_reply": "2025-04-03T19:34:03.101670Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2740,10 +2734,10 @@
|
|||||||
"id": "5e9127e2",
|
"id": "5e9127e2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:46.248030Z",
|
"iopub.execute_input": "2025-04-03T19:34:03.103498Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:46.247950Z",
|
"iopub.status.busy": "2025-04-03T19:34:03.103396Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:46.256507Z",
|
"iopub.status.idle": "2025-04-03T19:34:03.112948Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:46.256269Z"
|
"shell.execute_reply": "2025-04-03T19:34:03.112658Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2781,10 +2775,10 @@
|
|||||||
"id": "f76d94d9",
|
"id": "f76d94d9",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:46.257975Z",
|
"iopub.execute_input": "2025-04-03T19:34:03.114370Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:46.257861Z",
|
"iopub.status.busy": "2025-04-03T19:34:03.114270Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:48.006426Z",
|
"iopub.status.idle": "2025-04-03T19:34:05.116839Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:48.006184Z"
|
"shell.execute_reply": "2025-04-03T19:34:05.116587Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2816,7 +2810,7 @@
|
|||||||
"id": "5f4ff1aa",
|
"id": "5f4ff1aa",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"In this case, using $\\lambda=0.2$ leads to a almost the same test MSE\n",
|
"In this case, using $\\lambda=0.2$ leads to almost the same test MSE\n",
|
||||||
"as when using $\\lambda=0.001$.\n",
|
"as when using $\\lambda=0.001$.\n",
|
||||||
"\n",
|
"\n",
|
||||||
" "
|
" "
|
||||||
@@ -2848,10 +2842,10 @@
|
|||||||
"id": "a310d4bd",
|
"id": "a310d4bd",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:48.007901Z",
|
"iopub.execute_input": "2025-04-03T19:34:05.118221Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:48.007823Z",
|
"iopub.status.busy": "2025-04-03T19:34:05.118141Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:49.070813Z",
|
"iopub.status.idle": "2025-04-03T19:34:06.308660Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:49.070586Z"
|
"shell.execute_reply": "2025-04-03T19:34:06.308427Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -3293,10 +3287,10 @@
|
|||||||
"id": "4e45c7e0",
|
"id": "4e45c7e0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:49.072153Z",
|
"iopub.execute_input": "2025-04-03T19:34:06.310069Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:49.072078Z",
|
"iopub.status.busy": "2025-04-03T19:34:06.309992Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:49.296517Z",
|
"iopub.status.idle": "2025-04-03T19:34:06.543437Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:49.296307Z"
|
"shell.execute_reply": "2025-04-03T19:34:06.543204Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -3332,10 +3326,10 @@
|
|||||||
"id": "77037b29",
|
"id": "77037b29",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:49.297765Z",
|
"iopub.execute_input": "2025-04-03T19:34:06.544739Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:49.297699Z",
|
"iopub.status.busy": "2025-04-03T19:34:06.544664Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:49.299962Z",
|
"iopub.status.idle": "2025-04-03T19:34:06.547184Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:49.299756Z"
|
"shell.execute_reply": "2025-04-03T19:34:06.546986Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -3384,8 +3378,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -3397,7 +3391,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Support Vector Machines
|
# Support Vector Machines
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch09-svm-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch09-svm-lab.ipynb">
|
||||||
|
|||||||
+155
-161
@@ -1,11 +1,5 @@
|
|||||||
{
|
{
|
||||||
"cells": [
|
"cells": [
|
||||||
{
|
|
||||||
"cell_type": "markdown",
|
|
||||||
"id": "024023fd",
|
|
||||||
"metadata": {},
|
|
||||||
"source": []
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "15f8edb2",
|
"id": "15f8edb2",
|
||||||
@@ -37,10 +31,10 @@
|
|||||||
"id": "0f8bbe77",
|
"id": "0f8bbe77",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:50.217026Z",
|
"iopub.execute_input": "2025-04-03T19:34:07.672406Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:50.216649Z",
|
"iopub.status.busy": "2025-04-03T19:34:07.672262Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:50.906470Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.366716Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:50.906177Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.366424Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -67,10 +61,10 @@
|
|||||||
"id": "adea8726",
|
"id": "adea8726",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:50.908150Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.368334Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:50.908035Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.368206Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:50.930344Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.392522Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:50.930125Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.392254Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -95,10 +89,10 @@
|
|||||||
"id": "2eecca71",
|
"id": "2eecca71",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:50.931785Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.393984Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:50.931697Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.393870Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:50.933292Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.395470Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:50.933058Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.395268Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -116,7 +110,7 @@
|
|||||||
"We now use the `SupportVectorClassifier()` function (abbreviated `SVC()`) from `sklearn` to fit the support vector\n",
|
"We now use the `SupportVectorClassifier()` function (abbreviated `SVC()`) from `sklearn` to fit the support vector\n",
|
||||||
"classifier for a given value of the parameter `C`. The\n",
|
"classifier for a given value of the parameter `C`. The\n",
|
||||||
"`C` argument allows us to specify the cost of a violation to\n",
|
"`C` argument allows us to specify the cost of a violation to\n",
|
||||||
"the margin. When the `cost` argument is small, then the margins\n",
|
"the margin. When the `C` argument is small, then the margins\n",
|
||||||
"will be wide and many support vectors will be on the margin or will\n",
|
"will be wide and many support vectors will be on the margin or will\n",
|
||||||
"violate the margin. When the `C` argument is large, then the\n",
|
"violate the margin. When the `C` argument is large, then the\n",
|
||||||
"margins will be narrow and there will be few support vectors on the\n",
|
"margins will be narrow and there will be few support vectors on the\n",
|
||||||
@@ -135,17 +129,17 @@
|
|||||||
"id": "6af148c2",
|
"id": "6af148c2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:50.934425Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.396571Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:50.934363Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.396491Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.021100Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.501305Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.020567Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.497275Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -180,10 +174,10 @@
|
|||||||
"id": "01cf2e1a",
|
"id": "01cf2e1a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.025822Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.520528Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.025389Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.514664Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.034733Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.537554Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.033849Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.536661Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -628,16 +622,16 @@
|
|||||||
"id": "39826ae8",
|
"id": "39826ae8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.037704Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.544733Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.037494Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.544393Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.214727Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.679072Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.214362Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.678826Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -673,17 +667,17 @@
|
|||||||
"id": "7f7abd49",
|
"id": "7f7abd49",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.216395Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.680528Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.216304Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.680425Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.349071Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.833774Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.348816Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.833542Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -719,10 +713,10 @@
|
|||||||
"id": "ddce63fa",
|
"id": "ddce63fa",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.350548Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.835166Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.350429Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.835063Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.352612Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.837321Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.352356Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.837086Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -757,10 +751,10 @@
|
|||||||
"id": "28860549",
|
"id": "28860549",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.353955Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.838534Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.353852Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.838436Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.375266Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.867170Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.375045Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.866914Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -805,10 +799,10 @@
|
|||||||
"id": "ebfcf7a0",
|
"id": "ebfcf7a0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.376507Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.868589Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.376434Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.868487Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.378557Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.870887Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.378347Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.870644Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -846,10 +840,10 @@
|
|||||||
"id": "18762933",
|
"id": "18762933",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.379730Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.872090Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.379662Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.872005Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.381453Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.873843Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.381251Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.873556Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -875,10 +869,10 @@
|
|||||||
"id": "19e59dd8",
|
"id": "19e59dd8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.382589Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.875248Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.382517Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.875145Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.386928Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.879738Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.386708Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.879511Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -962,10 +956,10 @@
|
|||||||
"id": "cf34cb53",
|
"id": "cf34cb53",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.388280Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.881038Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.388213Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.880915Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.391898Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.885391Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.391668Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.885132Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1053,16 +1047,16 @@
|
|||||||
"id": "10f65bff",
|
"id": "10f65bff",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.393232Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.886615Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.393148Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.886536Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.453307Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.930189Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.453073Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.929963Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAp4AAAKTCAYAAACw6AhNAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAATshJREFUeJzt3Qd4VfX9x/HPuTd7D0JCyGAqUgSVIeACQXEr7moVR/0r1Trbv2KrVq1i1arVWrUOtP2rWFRArYgTcKEgDoYgmxAIJED2vvf+n3OQSCQJCeSec8f79TznSXLuz9wvV7j55DcNn8/nEwAAAOBnLn8/AQAAAGAieAIAAMAWBE8AAADYguAJAAAAWxA8AQAAYAuCJwAAAGxB8AQAAIAtIhTAvF6vNm3apMTERBmG4XQ5AAAA+BlzS/iKigplZ2fL5XIFb/A0Q2dubq7TZQAAAGAvCgoKlJOTE7zB0+zp3PUHSUpKcrocAAAA/Ex5ebnVUbgrtwVt8Nw1vG6GToInAABA4GrPtEgWFwEAAMAWtgXP++67z0rC119/vV1PCQAAgHALngsWLNBTTz2lgQMH2vF0AAAACMfgWVlZqQsvvFBPP/20UlNT/f10AAAACNfgefXVV+vkk0/W2LFj99q2rq7OWhm1+wUAAIDQ4NdV7VOnTtWiRYusofb2mDx5su68805/lgQAAIBQ6/E099687rrr9OKLLyomJqZd/82kSZNUVlbWdJnfAwAAAKHB8JnnHPnBjBkzNH78eLnd7qZ7Ho/HWtluHqdkDqvv/lhLzKH25ORkK4SyjycAAEDg6Uhe89tQ+5gxY7R48eJm9y699FL169dPN998815DJwAAAEKL34KneWzSgAEDmt2Lj49Xenr6HvcBAAAQ+ji5CAAAALaw9az2OXPm2Pl0AAAACCD0eAIAAMAWBE8AAADYguAJAAAAWxA8AQAAYAuCJwAAAGxB8AQAAIAtCJ4AAACwBcETAAAAobeBPAAAQGu8DQ3a8uaH2vHZIskwlD56uLqOO0qG2+10aegkBE8AAOC4sm++18IzrlRt4RYZkRGST1r7yBTF9c7T0Df+qYQDejpdIjoBQ+0AAMBRtZu3av5xF6uuqMT62tfQKF9jo/V5zbpC67GGsgqHq0RnIHgCAABHrX/qZTVWVMrn8ezxmHmvbnOxNv5ruiO1oXMRPAEAgKM2vfJfyeNtu820t22rB/5D8AQAAI7yVFS13cDnk6e80q5y4EcETwAA4KiE/n2kNlauGxFuJQ44wNaa4B8ETwAA4Kj8iRdKLczv3MXX6FHelb+0tSb4B8ETAAA4Kuv0sep27kmS8bMHjJ038ideoLQjhzhSGzoX+3gCAABHGS6XDv3Xg0oZMlBr//a8aguLrPtxPXPV66bLlXfFeTJ+DKEIbobP5/MpQJWXlys5OVllZWVKSkpyuhwAAOBnPq9XtZu2WkEzOrsrgTMIdCSv0eMJAAACqvczNifL6TLgJ8zxBAAAgC0IngAAICA0lJaravUGNbBnZ8hiqB0AgA6eK178zjx5auqUNPBApR4xmHmI+6liyQ9a8ae/acubH0perwy3S1njj9cBd1yrhH69nS4PnYjgCQBAO3jq6rX0+rtVMOXVncc7mmHT51P8gb2sFdnJh/3C6RKDUunCxZo/5iJ56+qt0GnyebwqmvGets7+WCPnvKSkgf2cLhOdhKF2AADa4ZsJv1PBc9N+OlP8x01hqlet1+djfqWqleucLTAImRvrfPvrSfLU1cn3sw3kzU3jPdU1WjzxNsfqQ+cjeAIA0I5euaLXZkvePXcgNAOTt7ZOq+7/pyO1BbOyhYtVuXTlT2H+5zxelX75nTUUj9BA8AQAYC82TX3LOi+8NWbv3KaX35S3sdHWuoJd5Yo1ndoOgY/gCQDAXtQXb981st4qc46ip6rGrpJCQkRiQvvaJbWvHQIfwRMAgL2Iycve4xjxlkJUREKcTRWFhi5jR8odH9tmm4iUJKUdPcy2muBfBE8AAPYi9+Lxeyx+2Z3hdiv3srOtj2i/iPg49f79FW226XvrRLmjoxSs6rftUPH7n6rko8/VWFmlcMd2SgAA7EV83x7qdeNlWvPQc3s8Zs79jM7sstcAhZb1mTRRjZXVO19bY+eRmeZ2SubnfW65Sj2vv1TBqKGsQstuuleFL70hX8POub/uuBjlX3WBDrz7BrmigjdM7w/DZ+5lEAKHzgMA4E/mj8u1j0zRqr88pYZtpTtvGoYyTz1Wv/jb7Zwvvp9qNhZp08tvqK6oRNHdM9X9/FMUk52pYOSpqdVnx/xSFd+t2LOn3GWo60mjNOS1f1ghOxR0JK8RPAEA6ABvfb1KFyy2tlAyT9WJ6R6c4Qj+s+6JF7X0urub9nptydC3nlbXcUcrFHQkrzHUDgBAB5hDpGlHDHa6DASwDc/8p83HjQi3Cp57NWSCZ0eERh8vAABAgKjdsKnN3k5fo0fV6zYqHBE8AQAAOlFURlrbDdwua0FaOCJ4AgAAdKKcS86S2lo45PEq56IzFI4IngAAAJ0o/4rzFJOT1eIxq4bbreTBA5R1xnEKRwRPAACAThSZmqyRc15SyuGHNH/AMNT15NE6fNZzckVGKhyxqh0AAKCTxeZ2s8Jn+XfLtWP+N1ZPZ5fRwxXXK1fhjOAJAADgJ0kD+1kXdmKoHQAAALYgeAIAAMAWBE8AAADYguAJAAAAWxA8AQAAYAuCJwAAAGxB8AQAAIAtCJ4AAACwBcETAAAAtuDkIgAAEBJ8Xq9KPvjMOqbSHROjricdo7ie4X1EZaAheAIAgKC344tv9fWFN6hmfaHkdklen5be8Gdln3eSDn7yz4qIj3O6RBA8AQBAsKtcvlpfHD9Bnrq6nTc83qbHNk2bpYbSCg19458yDMO5ImFhjicAAAhqqx54Wt76+maBs4nHq+J35ql0/jdOlIafIXgCAICg5fN4tGnqW/I1elptY0REqPDlN22tCy0jeAIAgKDlqa2Tr76hzTY+n1cN20ttqwmtI3gCAICg5Y6LVWRqcpttDBmKZXV7QCB4AgCAoGUuGMq74jwZbnebw/G5l5xla11oGcETAAAEtV43Xa7Y/O6ths/et1yl+N55tteFPRE8AQBAUItKS9HIj6eq23knWQuJdonu1lW/ePR2HXjX9Y7Wh58YPp/PpwBVXl6u5ORklZWVKSkpyelyAABAgKvftkOVK9bKHROtpEH92hyCh/15jQ3kAQBAyIhKT1XayFSny0ArGGoHAACALQieAABbeGpqVVu4RZ7qGqdLAeAQhtoBAH5VvW6jVv75cevkGHOjbyPCrawzT1DfP16txIN6O10eABvR4wkA8JvKH9bqk2FnqvDFmU2ny5hHGxa99o4+HXGWyr5a4nSJAGxE8AQA+M3iibersbxyj3O0zQ29zaMOv7nsFgXw5ioAOhnBEwDgF1Ur12n7vC+tkNkij1eVy1aq9Itv7S4NgEMIngAAv6hcvrp97b5f5fdaAAQGFhcBAPzCHR/XvnYJ7WuH4FBbVKy6zcWK7pqumO6ZTpeDAEPwBAD4ReoRgxWRkqTG0vJW27iio5Rx3JG21gX/KPvmey2/9QGVvP+Z9OO83fRjDle/e3+nlGEDnS4PAYLgCQBos/dq20fzrcVByYMHKLF/n3b/t+7oKPWZdJWW33x/yw0Mqee1ExSZwpHIwa504WJ9PvpC+Roam0KnadsnC/TZ6As0fPbzSjtyiMJN2aKl2vzaO2ooq1BC3x7q/qvTrZOVwhlntQMA9mBu8r7k2rtU+H8zmy0OSjt6qAY99xfF5Xdv1/cxf8SsuO1hrb7/n5LLkOFySV6f9T3zrvylBvztNs7SDgEfDztT5d99by0Y24PLpbheuRq1bLYMw1A4aKyq1tcX3KCtb8+x9q2VYVh/542ICA342+3K+/W5CiUdyWsETwBAMz6vV1+e/GuVfPi55G0eJMwfotGZXXTUwhmK6pLW7u9Zs2GTNr44U7Ubi6z/vvsFpym+T74fqofdyr9dro+HnL7XdiPmvKS0IwYrHCw8+xpteeuDloO4pCGv/0OZp45RqOhIXmOoHQDQTMkHn6nk/U9bfMwccjeH39f940UdcPtv2/09Y/Oy1XfSxE6sEoGiavX6drWrXlMQFsGzYulKbZn5XusNXC79cPfjIRU8O4LtlAAAzWz894y2h789XhU8N83OkhDAIlPbNyIZmZKocFA04922//14vSr/eqlqNhYpHBE8AQDN1BUVt77p+642xdttqweBzVw0FNWl7QUzEYnx6jJmpMKBp6rGms+813aVVQpHBE8AQDOxOd12LohoQ0y3rrbVg8DmiozUAX+6rs02ff54tdxxsQo1VavWq+D511TwwuuqWr3BupfQr/fO1f1tcMVEKya3m8IRczwBAM3kTBivjf+e3noDlyvkVuVi/+Rf+UtrJwRzBwNvfYP1i4s5H9j82PcPv1GvGy5TKDF7/L+9/BYVz5r7003DUNeTRmnAo7crIilBjRVVzbaWamrmdivn4vGKaOcBC6GGVe0AgGbMHwuLzrtWReYCCa9vjx+asT2668j5r7H/JvbQsKNMm199R7Wbtli7F3Q7+4QO7X4QDMyA/cmIs1W1Yu0eU1LMfx8JB/VWn1sn6uuLbtq5We1ubQzz30/PHB3x8dSQel06ktcYagcANGPutXjo//1VPa+9xBoS3O0BdT1ltEbOfZnQiRZFpiYr74rzdMAd1yr/qgtCKlztvviu8vtVLc6DNu9VLPnB6u0c8f6/1WX08GZHw+b/5kId8ckrIfm6tBc9ngCAVjWUV2rHZ19Zc9aSDumv2DCdlwbs8unIc6yTmloaRrcYhlJHHGr9gmYyTy3yVFYrKiNVrqgohSL28QQAdIrIpAR1PeEYp8sAAkbdlpLWQ6fJ57N2htglMjnRurATQ+0AAADtFJPXzVpg1yqXyzowAS0jeAIAALRT3mXn7nGUbDNer3ILine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1091,10 +1085,10 @@
|
|||||||
"id": "f5cbec92",
|
"id": "f5cbec92",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.454747Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.931460Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.454671Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.931384Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.458209Z",
|
"iopub.status.idle": "2025-04-03T19:34:08.935705Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.457954Z"
|
"shell.execute_reply": "2025-04-03T19:34:08.935451Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1178,17 +1172,17 @@
|
|||||||
"id": "eeecb206",
|
"id": "eeecb206",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.459452Z",
|
"iopub.execute_input": "2025-04-03T19:34:08.936866Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.459383Z",
|
"iopub.status.busy": "2025-04-03T19:34:08.936789Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.550420Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.014377Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.550152Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.014032Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAp4AAAKTCAYAAACw6AhNAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAACaOklEQVR4nOzdd3ib1333//eNQYIAuPfQoJa1LNmyPGQ7sR07UV1lOKttkqZN0iZPs9pmNKtp0vw6nDZdz5PRpG2a1ew4o7FjO45jyY5teVt7UoN7DxAkse/fHxCoRUokcYO4AXxe18XLHODBkUSTH37POd9jmKZpIiIiIiKSYY5sT0BERERECoOCp4iIiIgsCgVPEREREVkUCp4iIiIisigUPEVERERkUSh4ioiIiMiiUPAUERERkUXhyvYELiWRSNDd3U1paSmGYWR7OiIiIiJyAdM0GR8fp6mpCYfj0jVNWwfP7u5ulixZku1piIiIiMhldHR00NLScsnH2Dp4lpaWAnD44R9S6vPO+/O9K6qsnpKIiIiInCMwPsGylXdM57ZLsXXwTC2vl/q8lPl98x+gP4x3VbXFsxIRERGRC81lW2TeHy6aPD7E5PGhbE9DREREpODlffBMUfgUERERya6CCZ6g6qeIiIhINhVU8ExR+BQRERFZfAUZPEHhU0RERGSxFWzwBC29i4iIiCymgg6eKQqfIiIiIpmn4HmGqp8iIiIimaXgeQGFTxEREZHMUPCcgcKniIiIiPUUPGehpXcRERERayl4XobCp4iIiIg1FDznQOFTREREJH0KnnOkpXcRERGR9Ch4zpPCp4iIiMjCKHgugKqfIiIiIvOXE8HTnOzJ9hRmpPApIiIiMnc5ETwDzx3GnOzO9jRmpPApIiIiMjc5ETyHTxUz9vQBW4dPBVARERGRS8uJ4NlffANDJzy2Dp+g6qeIiIjIpbiyPYG5aLyuhr49NzF14CBwAHfpUQC869ZgeJuyO7kLpMKnd1V1lmciIiIiYi85ETwBmrbV0v3keg4dWgpAaaKdlvEDlF+H7cInJAOowqeIiIjIWTkTPCEZPqEWgKGTdXQeeBZQ+BQRERHJBTkVPM9V3epjiK05ET5BS+8iIiIiOXG4aDbVrT7Ca7fSeaBRB49EREREbC5nK54puVL5BFU/RUREpLDlfPCEi8Ont7kdAFepH0fDxuxObgba+ykiIiKFKC+CJ5wNn8f3HYd94HGM0rKhhzJQ+BQRERGxgbwJnpAMn7RuBmDo5ASdB56lBXuHT9DSu4iIiBSGnD5cdCnnHjwKHO4h0bs/21OalQ4eiYiISCHI2+AJ54fPgefbFT5FREREsiivltpnktr7OXAYoJ3aLfZcdgctvYuIiEh+y/vgCTOHzxQ7hlAdPBIREZF8VBDBE84Pn5NDbgC81W22rYCq+ikiIiL5pmCCJ5wNn+Ezbw8d9AF7bRs+QdVPERERyR8FFTzhTMullNbNdNwHCp8iIiIimVdwwfNCNTvOD58pdguhWnoXERGRXFfwwRPOhs/JoQnA/ns/FT5FREQkFyl4nlGzYzNDJ5PB0+57P1X9FBERkVyk4HmO6f2f2vspIiIiYrm8vrkoHTU7NtPRtkk3HomIiIhYRMHzEnIpfCqAioiIiN1pqf0yzj31Xrk6iLt5KQCGtymr85qJlt5FRETEzhQ85yAVPmPjHXiOdeP0juBtbqdo9Q3ZntpFFD5FRETErhZtqf2zn/0shmHw53/+54v1lJaq2bGZ07HrOTKyhUOHrqd37wCRY7uzPa0ZaeldRERE7GhRKp7PPPMMX/nKV9i0adNiPF3GNG2rPfNaLV0PAnt30cBuW1Y+QdVPERERsZeMVzyDwSBvectb+M///E8qKysz/XSLpnF7K139t9i68gmqfoqIiIh9ZDx4vve972XHjh3ccccdl31sOBwmEAic92JnuRI+QW2XREREJPsyGjy/973v8fzzz3P33XfP6fF333035eXl0y9LlixJTrKxLpPTTIvCp4iIiMjcZCx4dnR08Gd/9md8+9vfxuPxzOlzPv7xjzM2Njb90tHRcXaizfU4muszNd20nBs+J57bycRzO20bQrX0LiIiItlimKZpZmLgn/70p7z2ta/F6XROvy8ej2MYBg6Hg3A4fN7HZhIIBCgvL+epXW34/aXT70909WViymnrefDk9OvNdbto2FRr24NHoLveRUREJH2BQJDKum2MjY1RVlZ2ycdm7FT77bffzr59+85739vf/nbWrl3LRz/60cuGzktxNNfbMnw2bm+dfj1XTr2DAqiIiIgsjowFz9LSUjZu3Hje+3w+H9XV1Re9fyFSy+52DKBwZvk9B8InqO2SiIiILI6cv7nIrtVPOD98Vgd2Tr/fd82t2ZrSrBQ+RUREJNMWNXju3LkzI+PmQvjs6k++3Vy3C9hp2/AJWnoXEZGLjURjvDA+ybFgiMFYDIAal4vVfg9Xl3qpdOd8LUsWQd58ldh56f3CvZ/RsT002DR8gqqfIiJyVnc4wje6Bnl0JEjcBJcBiTPHkh0GxPrBacBLKv28ramGJk9RdicstrZod7UvFru2XEpp3N5Kf3gzvXucTDy3M9vTmZVaLomIyM8HRnnXgVPToRMgZkKC5EvszPviJjw2HOSdB07xv/0jZKhhjuSBvAueYO+en5Bb4VMBVESkMH2ja5DPn+4nkmA6dF5KHIia8IX2Ab7erZ8dMrO8DJ4pCp/WUPgUESksDw0F+HbP8II//7s9w/xy0N7XXkt25HXwhNwKn5Fju3XjkYiIZNVQNMYXTvdhpDGGAXyxvY/BaNSqaUmeyPvgCfZeek+Fz0NPrGLvAy10PBa1dQVU4VNEJL/d0ztMJGGSzi5NE4gkTO7pGbFqWpInCiJ4ptg5fNbs2EzNjs30Fd9k++V3hU8RkfwUSST4xcAYcQvGigP3D44RTiQsGE3yRUEFT7B39ROgaVttzoRPBVARkfxyfDLMZMK6E+mTCZO2ybBl40nuK7jgmaLwaQ2FTxGR/HF8MpTW3s4LGcDRyZCFI0quK9jgCQqfVlH1U0QkP4zG4jgtTJ5OA8aiVizcS74o6OAJ9l56vzB8Jnr3k+jdjznZne2pzUjhU0QktzkNK+udSRkYUnJY3lyZmS673vfetK2W7idvYmr3QXxlboqKhvHV91B+HRjepmxP7yK6blNEckEwFufoZJjjkyEm4wlchkGLx80VPg+NxYV75WNDkXv6NiIrxExoKuC/T7mYguc57Hrfe9O2WoZObiUMhHsnqT/xOHDA1uETUAAVEds5ORXmhz3D7BwZJ2Yml/0cZypyqcC11lvM6xoquaWyFKPAynWrvZ6cGFNyV8Evtc/Ejkvv1a0+qlt908vvQyc8jD19wLbL7qCldxGxj7hp8q3uId5z4DSPnAmdcPa+8XOrfEcnw/z9iV4+dqyTgUhhNUBf4nHTUuy2ZCwDaCl2s9RjzXiSHxQ8Z2HH8JlyYfi0895PhU8RybaYafK3bT38T/cQcS5/73iq6+TewBTvPdhOZyiS6SnahmEYXFPutWy8u+orCq5qLJem4HkJuXDwqPNAI6cfcnP6IbdtK6A69S4i2fSl9n6eGA3O+yaeODAei/ORI51MxAujCfpYNM6vLbhj3QEsKyniztry9CcleUXBcw7sHD7Da7cy3LSZ4abNdB5otG34BFU/RWTxPReY4N6BsQVf/xgHhqMxvtzeb+W0bOurnQOWNJBPAO9fWofbUMyQ8+lw0RzZ9dR7datv+vUhttJ54Fl08EhEBEzT5Mvt/Tg4u3y+EAngwaEAb2ioYllJ/p7QHovG+dVwwJLrMgGOTYa4stS6ZfuFMk2TgWiMtskwY9E4DsOgqdjFSq+HEqeC8WJT8JwHu556T6lu9eVE+AS1XRKRzDsYnOJ0yJrDQU7g5wOjvG9pnSXj2dFjo+OX3f86VwbwwGCA19VXWTPgAkzGE9w/MMrP+kfpjcQu+rgBXFvm5a76Sq4p82ov6iJR1F8Auy69QzJ8htdutf2yO2jpXUQy66mxCVwWZYk48MRo0JrBbOpIMGTZrUUm0D4VIZzIzt7YZ8YmeMf+k/xH5yB9M4ROSM7xucAknzjWxV8f72Y4OvPjxFoKngtk54NHM4XP1Ivd6OCRiGTKkcmQZRU8gMFIjEAsf69/PDEVtrR5fALoCi9+O6qf9o/wl8e6GI3GMeGS+3tT/5pPj03w7gOn6SigDgbZouCZplwIn8M7uxne2W3rCqjCp4hYrT8cXfChotkM5XFVLGrBoaILRRa54vnroQBfah8A5revNw4E4nH+4kgHo7pbPqMUPC1g9/B5ZGQLR0a2TFdAE737sz21Gan6KSJWMtCevfnwZeCgjc/ptHzM2fRHovzb6YWfwYibyQNWX2i35zmOfKHgaRG7Lr2nbjtKtV7qPNBI4HCPbcMnqPopItaoK3ZZHj1r3Pl7Jne1z2PZnliAIgc0W3QL0lx8o3OQqJle1TYOPDoSZN/4pDWTkosoeFrMjuEz5dzld4VPEcl3V/hKLDssA1Bb5KLUtXgVvMW2odRj2R5PB7DO58GxSCfFx6JxHhmx5lS+04D/7R9NfyCZkYJnBti1+gm5Fz4VQEVkoa4v91kWpJwG3FTht2Ywm7qxwo/fouX2BLCjtsKSsebimcCEZf/WcTPZwSCeZvVUZqbgmUEKn9ZQ+BSRhVjn87C8pMiSH3RxE165iEEqG9yGg99pqEp7e4ITaChycVPl4gX1YxMhS7cJRE1o1wn3jFDwzLBcCJ89u8aZeG4nE8/ttG0IVfVTRObLMAzevaQurVuLIPmD8s6aMpbm8a1FKW9oqKS1pIh0NhQkgI+2NizqdZm9kailraAA+rLQCqoQKHguArsuvafCZ/vwBvY+vYVDT6xi4Pl224ZPUPVTRObn6jIvr6krX3AVz2lATZGL/7Mkf28sOpfLMPj0qiZKXc4F749999JaNizyVZmLine truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAp4AAAKTCAYAAACw6AhNAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAlERJREFUeJzt3Ql4W9WdPv5XkmXJsmx5353EibOHBJKwhFCWQqGUpdCW6bR0oeuU0k73FuhC+c+0dLpMOz9KC512oO3QQikFplAIKSVhTQKBbM7uOPG+L7Isa9f/OceRcRzHsaUr6dyr9/M8F2xZvr5RFOvV95zzPaZoNBoFEREREVGSmZP9A4iIiIiIBAZPIiIiIkoJBk8iIiIiSgkGTyIiIiJKCQZPIiIiIkoJBk8iIiIiSgkGTyIiIiJKiSwoLBKJoL29HXl5eTCZTOm+HCIiIiKaRLSEHx4eRlVVFcxms36DpwidtbW16b4MIiIiIjqNlpYW1NTU6Dd4ikqnsP+5R5CX65j19zvmFyXhqoiIiIgoxj08grkLLhvPbboNnrHhdRE68525sz9Btx+O+mLtL4yIiIiITjCTaZGGX1zkPdwnDyIiIiJKL8MHzxiGTyIiIqL0ypjgKbD6SURERJQ+GRU8Yxg+iYiIiFIvI4OnwPBJRERElFoZGzwFDr0TERERpU5GB88Yhk8iIiKi5GPwPI7VTyIiIqLkYvCchOGTiIiIKDkYPKfA8ElERESkPQbPU+DQOxEREZG2GDxPg+GTiIiISBsMnjPA8ElERESUOAbPGeLQOxEREVFiGDxnieGTiIiIKD4MnnFg9ZOIiIjIoMEz6u2Aihg+iYiIiAwWPN3b9yPqbYeKGD6JiIiIDBQ8+4/aMLStQenwyQBKREREZIDg2W07D31H7EqHT4Hhk4iIiOjUsqADleeUoGvneow27AXQAGveQXm7Y+kimBxVUDF8OuqL030pRERERErRRfAUqtaVov3VZdi3b478PC/SjJrhBrjOgXLhMxZAGT6JiIiIdBg8Y+ETEAfQ11SG1obXZQWU4ZOIiIhIfboKnhMV1+WiD2t1ET4FBlAiIiLKdLpYXDRd+PQvEeGzkguPiIiIiBSn24qn3iqfAqufRERElMl0HzynCp+O6mZ5e1aeE+aKFVAN534SERFRJjJE8JwYPg/vPgzsBuzmQdQs70C+mE/A8ElERESUdoYJnrHwibpV8uO+phFZAa2B2uFTYAAlIiKiTKDrxUUzXXjk3t+BSOceqIoLj4iIiCgTGDZ4Tg6fPW80M3wSERERpZGhhtqnm/vZs1981ozS1WoOuwsceiciIiIjM3zwPFX4jFExhHLhERERERlRRgTPyeHT22eVtzmKG5WtgLL6SUREREaTMcFzYvj0H/+8b28ugF3Khk+B1U8iIiIyiowKnuMtl2LqVqHlKfEBwycRERFRsmVc8Jys5KoTw2eMaiGUQ+9ERESkdxkfPCeGT2/fiC7mfjJ8EhERkR4xeE4In2K3Iz3M/WT1k4iIiPSIwXOq+Z+c+0lERESkOUPvXJTw8HvjSu54RERERKQRBk+DhE8GUCIiIlIdh9pnseq9cKEH1uo58naTowqq4dA7ERERqYzBcxbhMzTcAvuhdlgcA3BUNyN74XlQDcMnERERIdOH2n/wgx/AZDLhi1/8IvQaPo+FzsWBgdXYt+9cdO7qQeDQFqiIQ+9ERESUsRXP1157Dffddx9WrlwJPataV3r8o1K0bRCj75tRgS1KVj4FVj+JiIgooyqeHo8HN954I/77v/8bhYWFMIrKK+rQ1n2R0pVPgdVPIiIiypjgecstt+Cqq67CZZdddtr7+v1+uN3uEw6V6SV8CgyfREREZOjg+dBDD+GNN97AXXfdNaP7i/u5XK7xo7a2duwiK8ugKoZPIiIiojQHz5aWFnzhC1/Agw8+CLvdPqPvue222zA0NDR+iHOMX2h1uTxUD58j2zfJQ9UQyqF3IiIiShdTNBqNJuPEjz/+OK6//npYLJbx28LhsFzZbjab5bD6xK9NRQy1i8rn1s2NcDrzxm+PtHVBRR0bmsY/ri7bjIqVpcouPBK48IiIiIgS5XZ7UFi2ThYN8/Pz07Oq/dJLL8Xu3btPuO1jH/sYlixZgm984xunDZ3TEZVPFcOnqHzG6GXVu8AASkRERKmQtOCZl5eHFStWnHBbbm4uiouLT7o9HrFhdxUD6Pjwuw7Cp8C2S0RERJQKut+5SNXq5+TwWezeNH577pqLoRqGTyIiIjJU8Ny06a3wlWnhs637rbmfwCZlw6fAAEpERJMNBEN4c9iLQx4fekMheVtJVhYWOu04K8+BQqvua1mUAoZ5lqg89D557mdwaCcqFA2fAqufREQU0+4P4LdtvXhhwINwFMgyAZHjy5LNJiDUDVhMwNsKnbipqgRV9ux0XzIpLGV7taeKqi2XJobQbv8qdO60yLZLqmLLJSIi+mvPID7dcHQ8dAqhKBARhZ7jHwviay/2e/CphqP4v+4BJKlhDhmA4YKn6j0/9RY+GUCJiDKTqHLefawbgchYsDydMIBgFPh5cw8eaOdrB2VQ8Ixh+NQGwycRUWbZ2OfGgx39cX//Hzv68Wyv2tteU3oYOnjqLXyK3Y644xEREaVTXzCEnx/rgimBc4jvvae5C73BoIZXRkZg+OCp+tB7LHzue6Ueu56pQcuLQaUroAyfRETG9mhnPwKRKBKZpSm+V5zj0Y4BDa+MjCAjgmeMyuGz5KpV8uiyrVd++J3hk4jImAKRCP7WMyTnayZKnOPp3iH4I2IZElEGBk/Vq59C1bpS3YRPBlAiImM57PXDG+uVpAFxrkavX7Pzkf5lXPCMYfjUBsMnEZFxHPb6EprbOZk410GvT8Mzkt5lbPAUGD61weonEZExDIbCshm8VsS5hoJaDNyTUWR08FR96H1y+Ix07pFH1NsOFTF8EhHpm8WkZb1zTBJOSTpmmC0zjbrfuwif7a+ux+iWvcjNtyI7ux+55R1wnQOYHFVQDbfbJCI98ITCOOj1y6FlbziCLJMJNXYrFufaUWnL3C0fK7Kt47sRaUGcqyqDH086GYOnDvZ7F+Gzr2ktxPRsf6cX5UdeBtCgdPgUGECJSDVNo3480tGPTQPDMhSZj+83LsQC1xKHDe+pKMRFhXkwZVi5bqHDrotzkn5l/FD7VFQcei+uy5VHbPi974gdQ9salB12Fzj0TkSqCEej+H17Hz7bcAzPHw+dmLDf+MQqn6iEfv9IJ2491IqeQGY1QK+1W1Fjs2pyLhHZxbnm2LU5HxkDg6eOwmfM5PCp8txPhk8iSrdQNIp/b+zA/7b3yd6Sp9t3PNZ1cpd7FLfsbUarL4BMISq8a1wOzc53XXlBxlWNaXoMnjpfeNTaUIljG63yULUCylXvRJROv2juxiuDnlnvxCNC6nAojK8faMVIODOaoIsV6P/QYI91ES7m5mTjylKXJtdFxsHgOQMqh0//krXor1olDxFCVQ2fAsMnEaXadvcInuwZinv7RxE++4Mh3NvcjUzwm9YeTRrIi5j++TllsJoYM+hEXFyk81XvYt5nTB/WorXhdS48IiIS+4VHozIwiuiTSL1SfO+GPjfeV1Ekq3hGrnb+vd+tyXaZwiGvD2fkaTdsn8jzoCcYkjsoiT+j2WRClS0LCxx25FgYjFONwdMAq94nhlA9hE+BbZeIKNn2ekZxzKfN4iALgL/2DOJzc8pgVC8ODp92/utMiVmdz/S68Z7yIqSLaJP1dM8gnugeRGcgNOU1np3vwHXlhViT7+Bc1BRh1DfQ0HssfIrhd9WH3QUOvRNRMm0dGkGWRllCVAHFPFEjO+DxabZrkcivzaMB+CPpmRv72tAIPr6nCb9q7UXXFKEzdo3b3V7cfqgN3z3cLqdUUPIxeBpw4dFU4TN2qIYLj4goWQ54fZpV8ITeQAjukHG3fzwy6te0ebyInG3+1Lejerx7AN881IbBYFiGy+n+SLG/zW1DI7i54RhaMqiDQboweCZID+Gzf1O7PFSugDJ8EpHWuv3BuBcVnUqfgatiQQ0WFU0WSHHF8x99bvyiuUd+PJufLAKoOxzG1w60yMBKycPgmQHh88DAannEKqCi56eKWP0kIi2Z5Cw+mqncJCy0ybWI2bGp0R0I4mfH4l+DIarjYvHRz5vVXMdhFAyeBh96j+12FGu9JMKne3+HsuFTYPgkIi2U2bI0j54lVuOuyV2Ya9dsTqyQbQaqNdoFaSZ+29qLYDSxqq2odb4w4MHuYa9m10UnYvDUmIrhc6rhd4ZPIjK6xbk5mi2WEUqzs5CXlboKXqotz7NrNsdThIuluXbZuigVRKVSbIWqxZxe8Zz5v+5BLS6LpsDgmUHVTz2GTwZQIorXua5czYKUCCPrC5wwsvMLnHBqNNwu5ldeVVqAVHnNPaLZ37UIr6KDQTjB6ilNjcEziRg+tcHwSUTxEBW3eTnZmrzQiTBydQqDVDqIXYb+qaIo4ekJoiZckZ2F9YWpC+qHRnyaThMIRoFmrnBPCgbPJNND+OzYPIyR7ZvkoWoIZfWTiGZLNAS/ubYsoV2LYi+UV5bkY46Bdy2KeV9FIepysmV4jJd4vL9RV5HS7TI7A0FNW0EJXWloBZUJGDwzeOg9Fj6b+5dj17bV2PdKPXreaFY2fAoMn0Q0G2flO/DuMlfcVTwxxF6SnYV/qTXujkUTZZlMuKO+Ss5ljXd+7M1zSrE8xVtlJmNUPMKh9qQw7vI8Bam437vc672ubvzzlqfEf3ehdDVgrlgBFXG7TSKajc/UlmEgGMaLA55Z9fUUVb+CLAt+uLgGjgza07vSlo2fLa3Fdw61ocU3s16o4rES64g+P6ccV5a6kGoFVoscatey6llg4A4G6ZQ5/5IUoWLlc6KSq1ahpXGlLiqfrH4S0UxYTCbcPr8SN1WXyCre6Sp5sRdGUS39+bK5qLIZf4h9MvFn/uXyubixqghLine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1223,10 +1217,10 @@
|
|||||||
"id": "6208e1b2",
|
"id": "6208e1b2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.551786Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.015768Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.551712Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.015657Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.555477Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.019689Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.555225Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.019408Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1310,17 +1304,17 @@
|
|||||||
"id": "a87a5d6e",
|
"id": "a87a5d6e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.556768Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.020858Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.556697Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.020787Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.659397Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.108406Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.659155Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.108082Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1363,10 +1357,10 @@
|
|||||||
"id": "ac2545b2",
|
"id": "ac2545b2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.660768Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.109990Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.660690Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.109884Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.662380Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.111917Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.662172Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.111647Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1391,17 +1385,17 @@
|
|||||||
"id": "a8f4a9d5",
|
"id": "a8f4a9d5",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.663566Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.113194Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.663493Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.113106Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.724988Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.156099Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.724724Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.155768Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1434,10 +1428,10 @@
|
|||||||
"id": "2374664b",
|
"id": "2374664b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.726454Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.157655Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.726333Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.157536Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:51.729864Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.161398Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:51.729604Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.161108Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1886,16 +1880,16 @@
|
|||||||
"id": "eeb838df",
|
"id": "eeb838df",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:51.731202Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.162695Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:51.731137Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.162616Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.039122Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.457591Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.038848Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.457276Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAp4AAAKTCAYAAACw6AhNAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAA2JRJREFUeJzs3Qd4m9XZN/C/tizJe8/YibM3hBFmKLuM0tIWSkpLKX27aMvbvi2le4+3i7Z00vK1ZbxAC4UWKGElzATIHs6y471lW7aGtfVd97Fly7Zkazza9++6BLIkP34sO9Zf9znnPjKfz+cDY4wxxhhjcSaP9xdgjDHGGGOMcPBkjDHGGGMJwcGTMcYYY4wlBAdPxhhjjDGWEBw8GWOMMcZYQnDwZIwxxhhjCcHBkzHGGGOMJYQSKczr9aKnpwe5ubmQyWTJPh3GGGOMMTYLtYQ3m82oqqqCXC5P3+BJobO2tjbZp8EYY4wxxhbQ2dmJmpqa9A2eVOkkL9z3AvQ6fbJPhzHGGGOMzWK1WXHJrZdM5ba0DZ7+4XUKnQadIdmnwxhjjDHGQghnWiQvLmKMMcYYYwnBwZMxxhhjjCUEB0/GGGOMMZYQHDwZY4wxxlhCcPBkjDHGGGMJwcGTMcYYY4wlBAdPxhhjjDGWEBw8GWOMMcZYQnDwZIwxxhhjCcHBkzHGGGOMJQQHT8YYY4wxlhAcPBljjDHGWEJw8GSMMcYYYwnBwZMxxhhjjCUEB0/GGGOMMZYQHDwZY4wxxlhCcPBkjDHGGGMJwcGTMcYYY4wlBAdPxhhjjDGWEBw8GWOMMcZYQnDwZIwxxhhjCcHBkzHGGGOMJQQHT8YYY4wxlhAcPBljjDHGWEJw8GSMMcYYYwnBwZMxxhhjjCUEB0/GGGOMMZYQHDwZY4wxxlhCcPBkjDHGGGMJwcGTMcYYY4wlBAdPxhhjjDGWEBw8GWOMMcZYQnDwZIwxxhhjCcHBkzHGGGOMJQQHT8YYY4wxlhAcPBljjDHGWEJw8GSMMcYYYwnBwZMxxhhjjCUEB0/GGGOMMZYQHDwZY4wxxlhCKBPzZRhjjLHwONwedI+Mo8c0DrvLC6VChvJcDWqL9TBo+GWLsXTG/4IZY4ylhP7RcWw/PojdbSNw+3yQAZCJ//rgFdeBFRW52LK8FMsr8pJ9uoyxKHDwZIwxllQejxcvHBvAtsP94mMvfOL/9F/f5HX/x8f7zDjaZ8ZptQW4/vQa6LkCylha4X+xjDHGkho6/98bbTjSMxYQMUOjyifZ3zmKzhEbbr+oEfk6dZzPkjEmFV5cxBhjLGn+sacr7NAZiKqiQxYXfrejBS6PJ05nxxiTGgdPxhhjSdHUM4qdrcMRh87A8NlvduDZySF6xljq4+DJGGMs8Xw+PL63WywYCsXjtuPFB28WF7oe9DAAth8bgMnmjNupMsakw8GTMcZYwp0YsMBodUZd7ZxtZ8uQREdijMUTB0/GGGMJd6R7FIp5653howVHB7tMkhyLMRZfvKqdMcZYwrUP2eAJUu8MHFL3uB1BrxOFUjvj4/4xp1hkpFIo4nK+jDFpcPBkjDGWcCMh5mTueORjQW9/9bHbZ3x88db75yw0MtvdKNJz8GQslfFQO2OMsYTzxeOY8TgoY0xSXPFkjDGWcAVaFcbs7jm3b7nhXrQp9eK6z21H+yO3iuuLbrgPssnh9Xq3dc7n0WzRXC2/pDGW6rjiyRhjLOHqSvRBFxd15BRDrtKKiz9oErruv50eM1tZrgZqJQ+zM5bqOHgyxhhLuFWVuXMWF7WqJiqd4Qh8rBwyrKnOk/T8GGPxwcGTMcZYwq2oyENBjmqq5hlJ6MSsz/HBh82LSyQ+Q8ZYPPCEGMYYYwknl8vwrvVV+Ouu9pChk4bVF9/y+LzHaVfrsbVOi5JcTZzOlDEmJa54MsYYS4qNdQXYUFMAeZR95OUyGUoMGlyzrkrqU2OMxQkHT8YYY8khk2HruzdhdVV+xOGTQmdBjhLfv24Ncuo5eDKWLjh4MsYYSxqNSoFvXbtKVC1lk4FyPv6Auq4mHz+/YQMqCnISc6KMMUnwHE/GGGNJRW2QbrtgMc5bVoLH9nThrdZheH0TIZSCJjWG90x2h19SasB1G6txwdISUTH1k1eXw9vdn8TvgjEWDg6ejDHGUmal+1evWgWT1Ynj/Wa0Gq2wOd1QKxSoLcrB0vJcVHGFk7G0xsGTMcZYUlCVMpgCvRpnLS4WF8ZYZuE5nowxxhhjLCE4eDLGGGOMsYTg4MkYY4wxxhKCgydjjLGk4FXojGUfDp6MMcYYYywhOHgyxhhjjLGE4ODJGGOMMcYSgoMnY4wxxhhLCA6ejDHGkoYXGDGWXTh4MsYYS3scYBlLDxw8GWOMJRWHRsayBwdPxhhjjDGWEBw8GWOMpXXVkyumjKUPDp6MMcYYYywhOHgyxhhLCdFULrnayVh64eDJGGMsZXCQZCyzcfBkjDGWluGTQypj6YeDJ2OMsZSzUKjk0MlYeuLgyRhjLCWFCpccOhlLX8pknwBjjDEWCodMxjILVzwZY4wxxlhCcPBkjDHGGGMJwcGTMcYYY4wlBAdPxhhjjDGWEBw8GWOMMcZYQnDwZIwxxhhjCcHBkzHGGGOMJQQHT8YYY4wxlhAcPBljjDHGWEJw8GSMMcYYYwnBwZMxxhhjjCUEB0/GGGOMMZYQHDwZY4wxxlhCcPBkjDHGGGMJwcGTMcYYY4wlBAdPxhhjjDGWWcHzRz/6EWQyGe64445EfUnGGGOMMZZtwfPtt9/GH/7wB6xbty4RX44xxhhjjGVj8LRYLNi6dSvuvfdeFBYWxvvLMcYYY4yxbA2en/70p3HVVVfhkksuWfCxDocDY2NjMy6MMcYYYywzKON58Icffhh79+4VQ+3h+OEPf4hvf/vb8TwlxhhjjDGWaRXPzs5OfO5zn8ODDz4IrVYb1ufcddddGB0dnbrQMRhjjDHGWGaIW8Vzz549GBgYwGmnnTZ1m8fjwSuvvIJ77rlHDKsrFIoZn6PRaMSFMcYYY4xlnrgFz4svvhiHDh2acdtHPvIRrFixAnfeeeec0MkYY4wxxjJb3IJnbm4u1qxZM+M2vV6P4uLiObczxhhjjLHMxzsXMcYYY4yx9F/VPtuOHTsS+eUYY4wxxlgK4YonY4wxxhhLCA6ejDHGGGMsITh4MsYYY4yxhODgyRhjjDHGEoKDJ2OMMcYYSwgOnowxxhhjLCE4eDLGGGOMsYTg4MkYY4wxxhKCgydjjDHGGEsIDp6MMcYYYywhOHgyxhhjjLGE4ODJGGOMMcYSgoMnY4wxxhhLCA6ejDHGGGMsIZSJ+TKMMcayncPlQcewDd2mcYw7PVDIZSjL06KuKAdFek2yT48xlgAcPBljjMVV/+g4th8bwO52E9w+nxhqk0EGHwCv+C9QX6TDhctKsbGuAJDJFjymvLp8wcd4u/sRDzaHBz2mcdjdHihFeNagSKcO67wZy3YcPBljjMWF1+vDS8cG8J9DfTNCplf8d+K6H1VC/7qrHTtbh3DTmXUooCAXRdgM9fhYQ6jd6cHbbcN4vdmIPrNjzv16lQJn1Bfh3KUlKM3l6i1joXDwZIwxJjmPx4sH3uzA/k7TrIgZ3EQYBZr7rfjpcyfwmXc0ojxPG3XonM3/+dEE0KaeUTz0ViesDnfIx1hdHrxy0ohXTg7i0lXluGxVORQKXkbB2Gz8r4Ixxpjk/rW/J+zQGYiqojSU/bvtzeL/FBhjDZ2B/McL95jbjvThj6+2itBJ34tvgXOnAP1cUz/u2dEsqqSMsZk4eDLGGJPUyX4zXm42Rhw6AwPcmN2NP7WYEU8LBdCXjw/gP4f7xPVIvhd6bLvRhntfPSWmGzDGpnHwZIwxJh2fD0/s7573xcXjtuPFB28WF7o+W6tKjxaVHi8eG0Sb0Yp4CxZAe03j+Nf+3qiPSZXPFqMVO44PSHCGjGUODp6MMcYk0y7aJdmn5mxGikKnn1wmw38ORx/+Ygmgj+/tnrfKuVB49nvmUB/M4644nC1j6YmDJ2OMMck09YxBDlnMoZN4fT7sbBlCovXkGPCcieZrxj5MTt/Dm63DkpwXY5mAgydjjDHJUFskX5DARlXB6ct0OyK6Tre1QAGva27lcMTmwqjNiUR6rXlIVFspCM8Ow5Giyu/uNg6ejPlxOyXGGGOSGbE5g9YJdzzysaCPf/Wx22d8vPiWx+c8ZsjqRH6Qvp7xXBwVGJ794bNufLr6Ojs8B1Iop9tAkQGzEy6PByqFIo5nzVh64ODJGGNMOnFYxO1L8MLwrpHxoF8z3PB88db7Z3xMQ/bDVhfK8zh4MsbBkzHGmGQK9Wr0mx1z8ueWG+6dUSH0h7VFN9wH2awK4WwlhsRVO4knDi2QfIlOz4ylKA6ejDHGJFNXpMPxPsuceZ6Bw89tyul5kxQ65arQwbNQp0roMDuh7TopPM9Wv/Whqes+tx3tj9wqrp9//T1QKOffJlOv5pdbxgj/S2CMMSaZVVV52NYUfFvKqYU6QRYRBUMLfM5eXIy48/lwsHsU+ztMODlgQY9pPPj5BATkwHZRndoicV+DK3jPUYNGidwcleSnzVg64uDJGGNMMouKdKgu0KJ3Vi/PaFaHUyuid66tRDy90WzEX95oQ++oHQqZTHzNaAfF/d9jYACl1lIrynMlOlvG0h8HT8YYY9KRyXDdhmr8ZkdLyMBJ1cFgq9dnPEYGXLS8FPUlsbUzCsXh8uCXL57EqyeNU11HPRLNwwwMoLSw6NzGBFRtGUsTHDwZY4xJaml5Li5oLMHf2oMPWYczxF6Qo8Rt5y9BPDjdHnzzycM42jexF3w0cTOc8NyuNmBtdR4a4hSeGUtH3ECeMcaYpGjbyXdftRHnNpZEvIcRhc5crRLff89aGLTxqY388ZVTInTGYfH6jIqtSiHD5y5ZBnlNxZy94BnLVhw8GWOMScYfsBQKOb54+XLcvHmRCJN0mffLine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1930,16 +1924,16 @@
|
|||||||
"id": "3c41c695",
|
"id": "3c41c695",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.040527Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.458927Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.040435Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.458830Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.194270Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.595713Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.194007Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.595401Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1974,10 +1968,10 @@
|
|||||||
"id": "2c435bdf",
|
"id": "2c435bdf",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.195541Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.597249Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.195464Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.597139Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.269515Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.677077Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.269287Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.676772Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2022,10 +2016,10 @@
|
|||||||
"id": "a66d5368",
|
"id": "a66d5368",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.270984Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.678435Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.270901Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.678365Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.543736Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.935535Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.543467Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.935277Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2087,7 +2081,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2156,17 +2150,17 @@
|
|||||||
"id": "f920d30b",
|
"id": "f920d30b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.545283Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.936889Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.545186Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.936791Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.607319Z",
|
"iopub.status.idle": "2025-04-03T19:34:09.981558Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.607077Z"
|
"shell.execute_reply": "2025-04-03T19:34:09.981319Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2201,16 +2195,16 @@
|
|||||||
"id": "bb448b77",
|
"id": "bb448b77",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.608831Z",
|
"iopub.execute_input": "2025-04-03T19:34:09.982843Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.608714Z",
|
"iopub.status.busy": "2025-04-03T19:34:09.982768Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.752561Z",
|
"iopub.status.idle": "2025-04-03T19:34:10.071618Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.752274Z"
|
"shell.execute_reply": "2025-04-03T19:34:10.071279Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2250,10 +2244,10 @@
|
|||||||
"id": "baeaf16b",
|
"id": "baeaf16b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.754050Z",
|
"iopub.execute_input": "2025-04-03T19:34:10.073077Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.753954Z",
|
"iopub.status.busy": "2025-04-03T19:34:10.072970Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.757273Z",
|
"iopub.status.idle": "2025-04-03T19:34:10.076577Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.757029Z"
|
"shell.execute_reply": "2025-04-03T19:34:10.076292Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -2281,16 +2275,16 @@
|
|||||||
"id": "dc2d10e4",
|
"id": "dc2d10e4",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.758473Z",
|
"iopub.execute_input": "2025-04-03T19:34:10.077984Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.758407Z",
|
"iopub.status.busy": "2025-04-03T19:34:10.077903Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.824936Z",
|
"iopub.status.idle": "2025-04-03T19:34:10.127425Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.824706Z"
|
"shell.execute_reply": "2025-04-03T19:34:10.127113Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2336,16 +2330,16 @@
|
|||||||
"id": "01bf456b",
|
"id": "01bf456b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.826162Z",
|
"iopub.execute_input": "2025-04-03T19:34:10.128975Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.826082Z",
|
"iopub.status.busy": "2025-04-03T19:34:10.128845Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:52.888028Z",
|
"iopub.status.idle": "2025-04-03T19:34:10.171730Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:52.887787Z"
|
"shell.execute_reply": "2025-04-03T19:34:10.171416Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2377,17 +2371,17 @@
|
|||||||
"id": "9d9b7fe8",
|
"id": "9d9b7fe8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:52.889367Z",
|
"iopub.execute_input": "2025-04-03T19:34:10.173144Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:52.889276Z",
|
"iopub.status.busy": "2025-04-03T19:34:10.173050Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:53.700461Z",
|
"iopub.status.idle": "2025-04-03T19:34:10.940131Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:53.700207Z"
|
"shell.execute_reply": "2025-04-03T19:34:10.939836Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2441,10 +2435,10 @@
|
|||||||
"id": "29ad59f1",
|
"id": "29ad59f1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:53.701878Z",
|
"iopub.execute_input": "2025-04-03T19:34:10.941574Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:53.701781Z",
|
"iopub.status.busy": "2025-04-03T19:34:10.941456Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:53.748985Z",
|
"iopub.status.idle": "2025-04-03T19:34:10.991970Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:53.748785Z"
|
"shell.execute_reply": "2025-04-03T19:34:10.991684Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2487,10 +2481,10 @@
|
|||||||
"id": "e104aa54",
|
"id": "e104aa54",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:53.750319Z",
|
"iopub.execute_input": "2025-04-03T19:34:10.993468Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:53.750237Z",
|
"iopub.status.busy": "2025-04-03T19:34:10.993370Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:53.772699Z",
|
"iopub.status.idle": "2025-04-03T19:34:11.016882Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:53.772472Z"
|
"shell.execute_reply": "2025-04-03T19:34:11.016600Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2601,10 +2595,10 @@
|
|||||||
"id": "ea2c4d2e",
|
"id": "ea2c4d2e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:53.773947Z",
|
"iopub.execute_input": "2025-04-03T19:34:11.018318Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:53.773873Z",
|
"iopub.status.busy": "2025-04-03T19:34:11.018224Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:53.782386Z",
|
"iopub.status.idle": "2025-04-03T19:34:11.026905Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:53.782167Z"
|
"shell.execute_reply": "2025-04-03T19:34:11.026685Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2707,8 +2701,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -2720,7 +2714,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Deep Learning
|
# Deep Learning
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch10-deeplearning-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch10-deeplearning-lab.ipynb">
|
||||||
|
|||||||
+298
-381
@@ -899,357 +899,357 @@
|
|||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"Epoch 0: 100%|█████████████████████████████████████████████████████████████████████████████| 6/6 [00:01<00:00, 4.03it/s, v_num=7]\n",
|
"Epoch 0: 100%|█████████████████████████████████████████████| 6/6 [00:01<00:00, 4.42it/s, v_num=50]\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 834.19it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 777.73it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 567.56it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 462.85it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 189.22it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 168.84it/s]\u001b[A\n",
|
||||||
"Epoch 1: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 228.62it/s, v_num=7]\u001b[A\n",
|
"Epoch 1: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 150.03it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 867.31it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 623.50it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 690.93it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 486.38it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 571.77it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 479.92it/s]\u001b[A\n",
|
||||||
"Epoch 2: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 231.96it/s, v_num=7]\u001b[A\n",
|
"Epoch 2: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 206.02it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 729.44it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 785.45it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 561.30it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 539.63it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 511.08it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 501.73it/s]\u001b[A\n",
|
||||||
"Epoch 3: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 241.35it/s, v_num=7]\u001b[A\n",
|
"Epoch 3: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 209.50it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 671.52it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 865.70it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 526.59it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 583.23it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 486.92it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 556.89it/s]\u001b[A\n",
|
||||||
"Epoch 4: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 232.41it/s, v_num=7]\u001b[A\n",
|
"Epoch 4: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 209.69it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 759.84it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 739.74it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 562.24it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 507.75it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 531.82it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 477.71it/s]\u001b[A\n",
|
||||||
"Epoch 5: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 225.74it/s, v_num=7]\u001b[A\n",
|
"Epoch 5: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 197.71it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 750.19it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 695.23it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 569.80it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 526.29it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 539.85it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 484.63it/s]\u001b[A\n",
|
||||||
"Epoch 6: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 236.54it/s, v_num=7]\u001b[A\n",
|
"Epoch 6: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 202.03it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 784.13it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 739.61it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 569.96it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 501.77it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 515.63it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 465.40it/s]\u001b[A\n",
|
||||||
"Epoch 7: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 228.05it/s, v_num=7]\u001b[A\n",
|
"Epoch 7: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 205.02it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 733.01it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 667.67it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 567.68it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 483.21it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 536.29it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 484.67it/s]\u001b[A\n",
|
||||||
"Epoch 8: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 238.27it/s, v_num=7]\u001b[A\n",
|
"Epoch 8: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 143.06it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 729.44it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 788.55it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 575.90it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 542.14it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 549.98it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 536.26it/s]\u001b[A\n",
|
||||||
"Epoch 9: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 233.54it/s, v_num=7]\u001b[A\n",
|
"Epoch 9: 100%|████████████████████████████████████████████| 6/6 [00:00<00:00, 195.13it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 695.00it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 673.35it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 571.28it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 449.74it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 575.69it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 447.09it/s]\u001b[A\n",
|
||||||
"Epoch 10: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 141.10it/s, v_num=7]\u001b[A\n",
|
"Epoch 10: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 199.01it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 694.42it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 640.65it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 514.70it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 486.16it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 477.19it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 522.11it/s]\u001b[A\n",
|
||||||
"Epoch 11: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 211.01it/s, v_num=7]\u001b[A\n",
|
"Epoch 11: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 176.66it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 765.80it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 595.53it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 539.84it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 457.24it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 520.75it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 445.37it/s]\u001b[A\n",
|
||||||
"Epoch 12: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 228.19it/s, v_num=7]\u001b[A\n",
|
"Epoch 12: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 127.61it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 717.96it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 404.04it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 580.04it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 373.08it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 521.74it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 370.65it/s]\u001b[A\n",
|
||||||
"Epoch 13: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 226.32it/s, v_num=7]\u001b[A\n",
|
"Epoch 13: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 181.79it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 696.84it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 531.93it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 577.37it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 494.55it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 550.77it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 484.18it/s]\u001b[A\n",
|
||||||
"Epoch 14: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 235.64it/s, v_num=7]\u001b[A\n",
|
"Epoch 14: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 177.02it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 747.38it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 711.14it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 565.27it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 580.89it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 545.23it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 584.82it/s]\u001b[A\n",
|
||||||
"Epoch 15: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 226.05it/s, v_num=7]\u001b[A\n",
|
"Epoch 15: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 194.87it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 540.50it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 613.56it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 435.73it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 486.75it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 446.16it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 509.16it/s]\u001b[A\n",
|
||||||
"Epoch 16: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 213.13it/s, v_num=7]\u001b[A\n",
|
"Epoch 16: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 197.01it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 773.43it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 643.99it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 628.74it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 527.98it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 582.73it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 544.55it/s]\u001b[A\n",
|
||||||
"Epoch 17: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 231.60it/s, v_num=7]\u001b[A\n",
|
"Epoch 17: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 197.88it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 654.44it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 683.00it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 551.27it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 542.88it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 539.76it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 515.99it/s]\u001b[A\n",
|
||||||
"Epoch 18: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 233.47it/s, v_num=7]\u001b[A\n",
|
"Epoch 18: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 196.15it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 767.48it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 710.30it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 567.56it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 519.23it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 545.35it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 492.54it/s]\u001b[A\n",
|
||||||
"Epoch 19: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 223.37it/s, v_num=7]\u001b[A\n",
|
"Epoch 19: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 201.80it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 797.40it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 671.63it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 647.02it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 495.43it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 599.16it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 476.95it/s]\u001b[A\n",
|
||||||
"Epoch 20: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 76.45it/s, v_num=7]\u001b[A\n",
|
"Epoch 20: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 203.22it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 742.88it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 789.29it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 584.94it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 604.58it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 565.50it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 555.76it/s]\u001b[A\n",
|
||||||
"Epoch 21: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 230.47it/s, v_num=7]\u001b[A\n",
|
"Epoch 21: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 199.57it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 763.99it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 662.29it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 554.33it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 489.96it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 510.46it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 503.20it/s]\u001b[A\n",
|
||||||
"Epoch 22: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 240.44it/s, v_num=7]\u001b[A\n",
|
"Epoch 22: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 195.29it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 624.99it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 656.90it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 554.18it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 435.23it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 514.85it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 456.33it/s]\u001b[A\n",
|
||||||
"Epoch 23: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 239.80it/s, v_num=7]\u001b[A\n",
|
"Epoch 23: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 198.77it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 620.37it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 717.22it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 529.38it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 501.86it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 520.19it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 489.63it/s]\u001b[A\n",
|
||||||
"Epoch 24: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 235.10it/s, v_num=7]\u001b[A\n",
|
"Epoch 24: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 166.06it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 780.63it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 690.08it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 587.03it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 543.62it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 572.73it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 545.57it/s]\u001b[A\n",
|
||||||
"Epoch 25: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 77.30it/s, v_num=7]\u001b[A\n",
|
"Epoch 25: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 191.80it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 811.59it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 620.46it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 631.29it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 490.36it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 531.53it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 471.85it/s]\u001b[A\n",
|
||||||
"Epoch 26: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 228.06it/s, v_num=7]\u001b[A\n",
|
"Epoch 26: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 194.50it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 700.80it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 669.27it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 573.07it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 465.21it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 541.13it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 501.59it/s]\u001b[A\n",
|
||||||
"Epoch 27: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 231.81it/s, v_num=7]\u001b[A\n",
|
"Epoch 27: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 194.73it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 697.42it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 750.73it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 552.68it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 512.85it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 521.92it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 526.50it/s]\u001b[A\n",
|
||||||
"Epoch 28: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 239.59it/s, v_num=7]\u001b[A\n",
|
"Epoch 28: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 190.80it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 719.93it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 690.53it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 607.39it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 514.54it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 575.69it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 477.33it/s]\u001b[A\n",
|
||||||
"Epoch 29: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 236.81it/s, v_num=7]\u001b[A\n",
|
"Epoch 29: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 103.09it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 657.52it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 744.60it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 540.54it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 527.02it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 533.06it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 542.88it/s]\u001b[A\n",
|
||||||
"Epoch 30: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 239.42it/s, v_num=7]\u001b[A\n",
|
"Epoch 30: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 189.78it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 127.87it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 717.34it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████▋ | 2/3 [00:00<00:00, 54.91it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 538.49it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|██████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 60.58it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 520.82it/s]\u001b[A\n",
|
||||||
"Epoch 31: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 189.50it/s, v_num=7]\u001b[A\n",
|
"Epoch 31: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 160.01it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 803.97it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 715.87it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 600.09it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 530.92it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 559.29it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 527.52it/s]\u001b[A\n",
|
||||||
"Epoch 32: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 230.71it/s, v_num=7]\u001b[A\n",
|
"Epoch 32: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 195.70it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 777.73it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 720.42it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 620.55it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 529.38it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 590.91it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 470.28it/s]\u001b[A\n",
|
||||||
"Epoch 33: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 235.73it/s, v_num=7]\u001b[A\n",
|
"Epoch 33: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 190.77it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 704.81it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 789.29it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 573.23it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 473.72it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 540.55it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 471.41it/s]\u001b[A\n",
|
||||||
"Epoch 34: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 239.90it/s, v_num=7]\u001b[A\n",
|
"Epoch 34: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 188.33it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 737.91it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 668.41it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 546.88it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 489.96it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 557.73it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 504.87it/s]\u001b[A\n",
|
||||||
"Epoch 35: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 227.41it/s, v_num=7]\u001b[A\n",
|
"Epoch 35: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 186.16it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 781.21it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 797.40it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 572.60it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 550.80it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 567.44it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 509.43it/s]\u001b[A\n",
|
||||||
"Epoch 36: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 155.57it/s, v_num=7]\u001b[A\n",
|
"Epoch 36: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 189.45it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 641.82it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 709.82it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 513.76it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 554.47it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 498.73it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 550.05it/s]\u001b[A\n",
|
||||||
"Epoch 37: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 218.34it/s, v_num=7]\u001b[A\n",
|
"Epoch 37: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 190.02it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 721.04it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 668.95it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 582.10it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 551.30it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 550.77it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 571.74it/s]\u001b[A\n",
|
||||||
"Epoch 38: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 231.09it/s, v_num=7]\u001b[A\n",
|
"Epoch 38: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 194.72it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 809.09it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 702.80it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 582.58it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 500.63it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 568.18it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 470.60it/s]\u001b[A\n",
|
||||||
"Epoch 39: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 230.89it/s, v_num=7]\u001b[A\n",
|
"Epoch 39: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 176.34it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 844.60it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 701.74it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 533.36it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 526.46it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 529.56it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 548.83it/s]\u001b[A\n",
|
||||||
"Epoch 40: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 228.34it/s, v_num=7]\u001b[A\n",
|
"Epoch 40: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 203.51it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 730.59it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 718.45it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 660.52it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 506.31it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 597.51it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 485.11it/s]\u001b[A\n",
|
||||||
"Epoch 41: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 85.16it/s, v_num=7]\u001b[A\n",
|
"Epoch 41: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 187.93it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 641.82it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 523.37it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 500.36it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 464.38it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 487.58it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 506.33it/s]\u001b[A\n",
|
||||||
"Epoch 42: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 230.32it/s, v_num=7]\u001b[A\n",
|
"Epoch 42: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 165.53it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 839.36it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 552.83it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 644.68it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 418.84it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 581.95it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 397.93it/s]\u001b[A\n",
|
||||||
"Epoch 43: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 235.44it/s, v_num=7]\u001b[A\n",
|
"Epoch 43: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 160.23it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 794.98it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 727.29it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 649.12it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 525.50it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 567.21it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 486.54it/s]\u001b[A\n",
|
||||||
"Epoch 44: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 237.61it/s, v_num=7]\u001b[A\n",
|
"Epoch 44: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 177.08it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 716.24it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 740.13it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 610.12it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 579.24it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 585.12it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 590.55it/s]\u001b[A\n",
|
||||||
"Epoch 45: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 223.45it/s, v_num=7]\u001b[A\n",
|
"Epoch 45: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 184.81it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 900.26it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 707.06it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 692.53it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 531.90it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 624.77it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 497.66it/s]\u001b[A\n",
|
||||||
"Epoch 46: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 229.32it/s, v_num=7]\u001b[A\n",
|
"Epoch 46: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 194.47it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 800.59it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 729.82it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 657.67it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 534.31it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 593.79it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 556.25it/s]\u001b[A\n",
|
||||||
"Epoch 47: 100%|████████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 76.48it/s, v_num=7]\u001b[A\n",
|
"Epoch 47: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 195.38it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 724.53it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 755.73it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 598.97it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 594.35it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 584.54it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 574.38it/s]\u001b[A\n",
|
||||||
"Epoch 48: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 231.38it/s, v_num=7]\u001b[A\n",
|
"Epoch 48: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 160.38it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 889.57it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 738.56it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 610.52it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 509.95it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 592.16it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 498.02it/s]\u001b[A\n",
|
||||||
"Epoch 49: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 229.69it/s, v_num=7]\u001b[A\n",
|
"Epoch 49: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 192.70it/s, v_num=50]\u001b[A\n",
|
||||||
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: | | 0/? [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
"Validation DataLoader 0: 0%| | 0/3 [00:00<?, ?it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 33%|███████████████████████ | 1/3 [00:00<00:00, 749.12it/s]\u001b[A\n",
|
"Validation DataLoader 0: 33%|████████████▋ | 1/3 [00:00<00:00, 722.04it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 67%|██████████████████████████████████████████████ | 2/3 [00:00<00:00, 569.65it/s]\u001b[A\n",
|
"Validation DataLoader 0: 67%|█████████████████████████▎ | 2/3 [00:00<00:00, 501.74it/s]\u001b[A\n",
|
||||||
"Validation DataLoader 0: 100%|█████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 583.54it/s]\u001b[A\n",
|
"Validation DataLoader 0: 100%|██████████████████████████████████████| 3/3 [00:00<00:00, 535.33it/s]\u001b[A\n",
|
||||||
"Epoch 49: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 148.84it/s, v_num=7]\u001b[A"
|
"Epoch 49: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 128.81it/s, v_num=50]\u001b[A"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -1263,7 +1263,7 @@
|
|||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"Epoch 49: 100%|███████████████████████████████████████████████████████████████████████████| 6/6 [00:00<00:00, 131.20it/s, v_num=7]\n"
|
"Epoch 49: 100%|███████████████████████████████████████████| 6/6 [00:00<00:00, 117.06it/s, v_num=50]\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -1303,36 +1303,19 @@
|
|||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"Testing DataLoader 0: 100%|████████████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 318.37it/s]\n"
|
"Testing DataLoader 0: 100%|█████████████████████████████████████████| 3/3 [00:00<00:00, 303.70it/s]\n",
|
||||||
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
|
" Test metric DataLoader 0\n",
|
||||||
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
|
" test_loss 107904.640625\n",
|
||||||
|
" test_mae 221.8314971923828\n",
|
||||||
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/html": [
|
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 107904.6484375 </span>│\n",
|
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_mae </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 221.83148193359375 </span>│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
|
||||||
"</pre>\n"
|
|
||||||
],
|
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"[{'test_loss': 107904.640625, 'test_mae': 221.8314971923828}]"
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 107904.6484375 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_mae \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 221.83148193359375 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
|
||||||
},
|
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"data": {
|
|
||||||
"text/plain": [
|
|
||||||
"[{'test_loss': 107904.6484375, 'test_mae': 221.83148193359375}]"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 28,
|
"execution_count": 28,
|
||||||
@@ -1431,7 +1414,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 600x600 with 1 Axes>"
|
"<Figure size 600x600 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1916,7 +1899,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 600x600 with 1 Axes>"
|
"<Figure size 600x600 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1953,28 +1936,17 @@
|
|||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"name": "stdout",
|
||||||
"text/html": [
|
"output_type": "stream",
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"text": [
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
" Test metric DataLoader 0\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.9620000123977661 </span>│\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.15120187401771545 </span>│\n",
|
" test_accuracy 0.9620000123977661\n",
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
" test_loss 0.15120187401771545\n",
|
||||||
"</pre>\n"
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
],
|
|
||||||
"text/plain": [
|
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_accuracy \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.9620000123977661 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.15120187401771545 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -2041,7 +2013,7 @@
|
|||||||
"TPU available: False, using: 0 TPU cores\n",
|
"TPU available: False, using: 0 TPU cores\n",
|
||||||
"IPU available: False, using: 0 IPUs\n",
|
"IPU available: False, using: 0 IPUs\n",
|
||||||
"HPU available: False, using: 0 HPUs\n",
|
"HPU available: False, using: 0 HPUs\n",
|
||||||
"/Users/jtaylo/anaconda3/envs/ISLP_v22_312/lib/python3.12/site-packages/pytorch_lightning/trainer/connectors/logger_connector/logger_connector.py:75: Starting from v1.9.0, `tensorboardX` has been removed as a dependency of the `pytorch_lightning` package, due to potential conflicts with other packages in the ML ecosystem. For this reason, `logger=True` will use `CSVLogger` as the default logger, unless the `tensorboard` or `tensorboardX` packages are found. Please `pip install lightning[extra]` or one of them to enable TensorBoard support by default\n",
|
"/Users/jonathantaylor/anaconda3/envs/ISLP_test2025/lib/python3.11/site-packages/pytorch_lightning/trainer/connectors/logger_connector/logger_connector.py:75: Starting from v1.9.0, `tensorboardX` has been removed as a dependency of the `pytorch_lightning` package, due to potential conflicts with other packages in the ML ecosystem. For this reason, `logger=True` will use `CSVLogger` as the default logger, unless the `tensorboard` or `tensorboardX` packages are found. Please `pip install lightning[extra]` or one of them to enable TensorBoard support by default\n",
|
||||||
"\n",
|
"\n",
|
||||||
" | Name | Type | Params\n",
|
" | Name | Type | Params\n",
|
||||||
"-------------------------------------------\n",
|
"-------------------------------------------\n",
|
||||||
@@ -2081,28 +2053,17 @@
|
|||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"name": "stdout",
|
||||||
"text/html": [
|
"output_type": "stream",
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"text": [
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
" Test metric DataLoader 0\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.916100025177002 </span>│\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.3469300866127014 </span>│\n",
|
" test_accuracy 0.916100025177002\n",
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
" test_loss 0.3469300866127014\n",
|
||||||
"</pre>\n"
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
],
|
|
||||||
"text/plain": [
|
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_accuracy \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.916100025177002 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.3469300866127014 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -2288,7 +2249,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1000x1000 with 25 Axes>"
|
"<Figure size 1000x1000 with 25 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2583,7 +2544,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 600x600 with 1 Axes>"
|
"<Figure size 600x600 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2622,28 +2583,17 @@
|
|||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"name": "stdout",
|
||||||
"text/html": [
|
"output_type": "stream",
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"text": [
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
" Test metric DataLoader 0\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.4269999861717224 </span>│\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 2.45865797996521 </span>│\n",
|
" test_accuracy 0.4269999861717224\n",
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
" test_loss 2.45865797996521\n",
|
||||||
"</pre>\n"
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
],
|
|
||||||
"text/plain": [
|
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_accuracy \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.4269999861717224 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 2.45865797996521 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -3248,7 +3198,7 @@
|
|||||||
"Let’s look at the predicted probabilities for each of the top 3 choices. First we compute\n",
|
"Let’s look at the predicted probabilities for each of the top 3 choices. First we compute\n",
|
||||||
"the probabilities by applying the softmax to the logits in `img_preds`. Note that\n",
|
"the probabilities by applying the softmax to the logits in `img_preds`. Note that\n",
|
||||||
"we have had to call the `detach()` method on the tensor `img_preds` in order to convert\n",
|
"we have had to call the `detach()` method on the tensor `img_preds` in order to convert\n",
|
||||||
"it to our a more familiar `ndarray`."
|
"it to a more familiar `ndarray`."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -3657,7 +3607,7 @@
|
|||||||
"0 Non-trainable params\n",
|
"0 Non-trainable params\n",
|
||||||
"160 K Total params\n",
|
"160 K Total params\n",
|
||||||
"0.641 Total estimated model params size (MB)\n",
|
"0.641 Total estimated model params size (MB)\n",
|
||||||
"/Users/jtaylo/anaconda3/envs/ISLP_v22_312/lib/python3.12/site-packages/pytorch_lightning/loops/fit_loop.py:298: The number of training batches (45) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n",
|
"/Users/jonathantaylor/anaconda3/envs/ISLP_test2025/lib/python3.11/site-packages/pytorch_lightning/loops/fit_loop.py:298: The number of training batches (45) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n",
|
||||||
"`Trainer.fit` stopped: `max_epochs=30` reached.\n"
|
"`Trainer.fit` stopped: `max_epochs=30` reached.\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
@@ -3690,28 +3640,17 @@
|
|||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"name": "stdout",
|
||||||
"text/html": [
|
"output_type": "stream",
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"text": [
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
" Test metric DataLoader 0\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.8450000286102295 </span>│\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 1.2167928218841553 </span>│\n",
|
" test_accuracy 0.8450000286102295\n",
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
" test_loss 1.2167928218841553\n",
|
||||||
"</pre>\n"
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
],
|
|
||||||
"text/plain": [
|
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_accuracy \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.8450000286102295 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 1.2167928218841553 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -3914,7 +3853,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1600x800 with 2 Axes>"
|
"<Figure size 1600x800 with 2 Axes>"
|
||||||
]
|
]
|
||||||
@@ -4190,32 +4129,21 @@
|
|||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"name": "stdout",
|
||||||
"text/html": [
|
"output_type": "stream",
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"text": [
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
" Test metric DataLoader 0\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_accuracy </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.8505200147628784 </span>│\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.7480539679527283 </span>│\n",
|
" test_accuracy 0.8462799787521362\n",
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
" test_loss 0.7731857895851135\n",
|
||||||
"</pre>\n"
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
],
|
|
||||||
"text/plain": [
|
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_accuracy \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.8505200147628784 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.7480539679527283 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"[{'test_loss': 0.7480539679527283, 'test_accuracy': 0.8505200147628784}]"
|
"[{'test_loss': 0.7731857895851135, 'test_accuracy': 0.8462799787521362}]"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 91,
|
"execution_count": 91,
|
||||||
@@ -4255,7 +4183,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 600x600 with 1 Axes>"
|
"<Figure size 600x600 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -4621,7 +4549,18 @@
|
|||||||
"execution_count": 103,
|
"execution_count": 103,
|
||||||
"id": "72ab9a66",
|
"id": "72ab9a66",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70820/3890359531.py:4: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
|
||||||
|
" Y_t = torch.tensor(Y[mask].astype(np.float32))\n",
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70820/3890359531.py:4: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
|
||||||
|
" Y_t = torch.tensor(Y[mask].astype(np.float32))\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
"source": [
|
"source": [
|
||||||
"datasets = []\n",
|
"datasets = []\n",
|
||||||
"for mask in [train, ~train]:\n",
|
"for mask in [train, ~train]:\n",
|
||||||
@@ -4803,28 +4742,17 @@
|
|||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"name": "stdout",
|
||||||
"text/html": [
|
"output_type": "stream",
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"text": [
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
" Test metric DataLoader 0\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.616382360458374 </span>│\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_r2 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.4150230884552002 </span>│\n",
|
" test_loss 0.616382360458374\n",
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
" test_r2 0.4150230884552002\n",
|
||||||
"</pre>\n"
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
],
|
|
||||||
"text/plain": [
|
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.616382360458374 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_r2 \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.4150230884552002 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -4982,28 +4910,17 @@
|
|||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"name": "stdout",
|
||||||
"text/html": [
|
"output_type": "stream",
|
||||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
"text": [
|
||||||
"┃<span style=\"font-weight: bold\"> Test metric </span>┃<span style=\"font-weight: bold\"> DataLoader 0 </span>┃\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
" Test metric DataLoader 0\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_loss </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.5626183152198792 </span>│\n",
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n",
|
||||||
"│<span style=\"color: #008080; text-decoration-color: #008080\"> test_r2 </span>│<span style=\"color: #800080; text-decoration-color: #800080\"> 0.4660477638244629 </span>│\n",
|
" test_loss 0.5626183152198792\n",
|
||||||
"└───────────────────────────┴───────────────────────────┘\n",
|
" test_r2 0.4660477638244629\n",
|
||||||
"</pre>\n"
|
"────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\n"
|
||||||
],
|
|
||||||
"text/plain": [
|
|
||||||
"┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓\n",
|
|
||||||
"┃\u001b[1m \u001b[0m\u001b[1m Test metric \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m DataLoader 0 \u001b[0m\u001b[1m \u001b[0m┃\n",
|
|
||||||
"┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_loss \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.5626183152198792 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"│\u001b[36m \u001b[0m\u001b[36m test_r2 \u001b[0m\u001b[36m \u001b[0m│\u001b[35m \u001b[0m\u001b[35m 0.4660477638244629 \u001b[0m\u001b[35m \u001b[0m│\n",
|
|
||||||
"└───────────────────────────┴───────────────────────────┘\n"
|
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"metadata": {},
|
|
||||||
"output_type": "display_data"
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -5038,8 +4955,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"kernelspec": {
|
"kernelspec": {
|
||||||
"display_name": "Python 3 (ipykernel)",
|
"display_name": "Python 3 (ipykernel)",
|
||||||
@@ -5056,7 +4973,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Survival Analysis
|
# Survival Analysis
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch11-surv-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch11-surv-lab.ipynb">
|
||||||
|
|||||||
+173
-155
@@ -1,11 +1,5 @@
|
|||||||
{
|
{
|
||||||
"cells": [
|
"cells": [
|
||||||
{
|
|
||||||
"cell_type": "markdown",
|
|
||||||
"id": "bd75cc44",
|
|
||||||
"metadata": {},
|
|
||||||
"source": []
|
|
||||||
},
|
|
||||||
{
|
{
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "13a32f39",
|
"id": "13a32f39",
|
||||||
@@ -43,10 +37,10 @@
|
|||||||
"id": "80c238e6",
|
"id": "80c238e6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:54.685557Z",
|
"iopub.execute_input": "2025-04-03T19:34:12.018813Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:54.685198Z",
|
"iopub.status.busy": "2025-04-03T19:34:12.018724Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.549394Z",
|
"iopub.status.idle": "2025-04-03T19:34:12.943735Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.549100Z"
|
"shell.execute_reply": "2025-04-03T19:34:12.943404Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -73,10 +67,10 @@
|
|||||||
"id": "a236fb17",
|
"id": "a236fb17",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.551082Z",
|
"iopub.execute_input": "2025-04-03T19:34:12.945440Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.550950Z",
|
"iopub.status.busy": "2025-04-03T19:34:12.945303Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.640426Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.005265Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.640185Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.005006Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -106,10 +100,10 @@
|
|||||||
"id": "4dd4ddba",
|
"id": "4dd4ddba",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.642112Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.006753Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.642009Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.006648Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.647994Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.012550Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.647761Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.012293Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -144,10 +138,10 @@
|
|||||||
"id": "ae9435b1",
|
"id": "ae9435b1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.649419Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.013818Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.649331Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.013731Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.651992Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.016497Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.651800Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.016291Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -176,10 +170,10 @@
|
|||||||
"id": "a6e94032",
|
"id": "a6e94032",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.653141Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.017537Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.653065Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.017456Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.655301Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.019991Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.655136Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.019789Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -210,10 +204,10 @@
|
|||||||
"id": "afa05da1",
|
"id": "afa05da1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.656326Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.021104Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.656246Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.021020Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.658308Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.023271Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.658119Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.023062Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -267,10 +261,10 @@
|
|||||||
"id": "34c7c534",
|
"id": "34c7c534",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.659492Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.024340Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.659420Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.024274Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.846265Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.214355Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.845461Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.211396Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -286,7 +280,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAp8AAAKnCAYAAADAwSbIAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAQ1RJREFUeJzt3QuYXWV5L/BvLpkJAyRcAgmJwcjFQAQJJiZF8PEWTZVDBT02tkhiVDwoeIseBZUEsBItlaIQjbUirWiJtlgVaFobxHM4RqNBWxSIXNQgkJtKEhKY+3neVWc6mcxMZs/sWfv2+z3PJtl79t5rTWYN85/v8r513d3d3QkAAHJQn8dBAAAgCJ8AAORG+AQAIDfCJwAAuRE+AQDIjfAJAEBuhE8AAHIjfAIAkJvGVAG6urrS448/ng499NBUV1dX6tMBAKCf6Fu0e/fuNHXq1FRfX1/Z4TOC5/Tp00t9GgAAHMCjjz6anvWsZ1V2+IwRz55PZsKECaU+HQAA+tm1a1c2WNiT2yo6fPZMtUfwFD4BAMrXgZZI2nAEAEBuhE8AAHIjfAIAkJuKWPMJAGNZHqajoyN1dnaW+lSgrDU0NKTGxsZRl70UPgGoWW1tbemJJ55Ie/fuLfWpQEVoaWlJxxxzTGpqahrxewifANSkaGDyy1/+MhvNiaLY8cNUIxMYfIYgflnbvn179n1z4oknDllIfijCJwA1KX6QRgCNuoQxmgMM7aCDDkrjxo1Lv/71r7Pvn/Hjx6eRsOEIgJo20tEbqEX1Rfh+8R0HAEBuhE8AYD9XXHFFmj17dqo0N910UzrssMNSpXjpS1+a3vve96ZaInwCQAV585vfnM4999x9HvvHf/zHbP3dpz71qVRpInzFRq9PfOIT+33s7LPPzj4WQXi4Fi1alH7xi1+kcnPXXXdln8uTTz65z+O33npr+tjHPlZTIVf4BIAK9rd/+7fp/PPPT5/73OfS+9///lSJYtNXjFj29dhjj6V169ZlZX0K3RRz9NFHj+p82tvbU16OOOKIdOihh6ZaInwCQIX6y7/8y/Sud70r3XLLLWnp0qW9j1977bXp1FNPTQcffHAW7N75znemp556ar+p6X/+53/OSubEqOnChQvTo48+OuixfvSjH6VXvvKVadKkSWnixInpJS95Sbrnnnv2eU6M7EUYPu+887IKAvHe3/rWtw74efyP//E/0o4dO9L/+3//r/exv/u7v0uvetWr9guSra2t6QMf+ECaNm1a9vnNnz8/G1Xs/7n19c1vfjO94AUvyD7P4447Ll155ZVZY4G+5x3h/U/+5E+y9/z4xz8+4Hke6NixC/ycc85Jhx9+ePbx5z3veemOO+5Iv/rVr9LLXvay7DmHH354drwYwR5oRHLGjBnpL/7iL9LixYvTIYcckp797Gdn/4ZR4ui1r31t9tjzn//89OMf/7j3Nb/97W/Tn/3Zn2XnFf/u8bX/h3/4h96Px7G+973vpU9/+tPZseMW5xR+9rOfpVe/+tXZ+06ePDldcMEF2ddiLAmfAPCHOoZ72zpKcotjF+pDH/pQNl172223ZWGv/47kz3zmM+nnP/95FuLuvPPO9MEPfnCf50Rh/QhZf//3f5+FvpgOfuMb3zjo8Xbv3p2WLFmS7r777vSDH/wgC5avec1rssf7imD3p3/6p+k///M/s4/HqOzvfve7IT+XqLEaz/vSl760T4h8y1vest9zL7nkkrR+/foscMcx3vCGN6Q//uM/Tg8++OCA7/1//+//zYLce97znnTfffelz3/+89l79w+YMbUf/4733nvvgMcdzrEvvvjiLKD+n//zf7L3+eQnP5mFuvgF4J/+6Z+y52zatClrbBBBcDB//dd/nc4888z0k5/8JFt6EIEwPoc3velNWeA//vjjs/s9180zzzyT5syZk26//fYsTL797W/PXrNhw4bs43GsM844I1144YXZseMW5xRf85e//OXp9NNPz8Ls2rVr09atW7Ov31iq6x7JFZ+zXbt2Zb9l7dy5M02YMKHUpwNAFYgf2FEs+znPeU42IhYhcNbyfy3Judx31cLU0jS80tsxihWjWlFnMaalIzwcSKwJveiii3pHtCJ8xUhphMgYvQsPPPBAOvnkk9MPf/jDNG/evCyMxcjoT3/60wHfM2qkxgjjV7/61WzkMsSI2kc/+tHeNYx79uzJwte//Mu/ZCFtIDHyFxub4nxe/OIXZ8Fo48aNWbCLqfe5c+dma1zjfDZv3pyNXMaf0Rigx4IFC7Jzvvrqq7PPLUYSe9ZWxsde8YpXpMsuu6z3+TfffHMWxh9//PHe847XROgbzHCOHSOSr3/969OKFSv2e32MkMbo5+9///t9RmZ7Pv/rrruud+Qz/h2+/OUvZ/e3bNmSLT24/PLL01VXXZU9Fl+3CJPxbzVlypQBzze+JieddFL6q7/6qwGPE2KENcL5v/7rf1/3v/nNb7JgGiH5uc997gG/b0aS1xSZB4AKEyEngmSEnAg+EfD6+vd///e0cuXKLFBGIIgp5ggNMdrZU1A/enS/8IUv7H1NBJUIRffff3/2nv3FiFgEywhR27ZtS52dndn7RRjrf249Yuo5Qkg8/0BOO+20bDQ1gvJ3v/vdbOQuzrGvGE2M4/YPRTHaeOSRRw74vv/xH/+Rjez2HemM9+j/7xEhdyjDOfa73/3u9I53vCP927/9WxZKI4j2/fcYruf3eU1MhYeYSu//WPy7RviM84rw+7WvfS0L7PGLSZzXgZonxL9N/Fv3v37Cww8/PGD4LAbhEwBio8q4hmwEslTHLkSs7YuQFiNpMaIYI4s9m1ZiLV+MekUIisAVG1piqvytb31rFkpG2s0pptxjbWFM4cY6xObm5mz0Ld6zr+iA01eMKsYo6XDEdPeqVauy6fGeKeO+Yt1qtEONkdH4s6+BAlTPa2IpwOte97r9PtZ35C6C8lCGc+y3ve1t2drZmP6OABq/AEQFgliXW4hxff4Ne1q+DvRYz7/rNddck31dYlSzZ61vjOT2/9oM9DnFGtVYHtBfoRu9CiF8AsAffqAPd+q7HEQAjE0kPQE01utFAI1wFKEkQk9PN5oYEesvRkNjnV/PKGdMs8ZUdUy9DyRGDz/72c9m6zhDbE4q9saUP//zP8829MQo6KxZs/b7eKxNjFG+GPGLqenhiI1G8bmdcMIJozq34R47pqxjiUPcYqr/C1/4QhY+Y11r6OzsTMUWX5vYjBRrQkN8/aPcVN9/wzh+/2PHv02sRY2p/v6jzGPJhiMAqFARdHqmwWPELabYI2RFqaDrr78+PfLII9nawdWrV+/32hhJi1AUazwjsMZa0j/6oz8acMo9xJR4vFdMy8drYoNQlDUqptgJHusYYy3rQGIaOI4bm22iPmasPYwR0hhhjNHGgSxfvjzbVBWjn7EBK84/NgzFEoJCDOfYMdoY6yfjY7ExKKa0e8J8/LIQv+Dcdttt2c71vtUHRiu+Nt/5znfS97///ezz+1//639lyyT6ioAZX7cYGY9fGiKgxgap2AwWO+WjmkFMtcf5x/rbsQjJPYRPAKhgz3rWs7IAGoEiAmhsBIlSSzGVesopp6SvfOUrWUDqL6bfY8d8jDbGzuqYOl6zZs2gx/niF7+YbZaJ0bJYjxnrG0dbT3Mgse50qCnw2BEfATBqms6cOTPbjBTB6dhjjx3w+fFvEoEvpsFjjWsE7NhYFGGwUAc6dgS2CHQROGM0OgJrjBb3LJWIAHzppZdmazZj53yxRJCOr0t8rrGxKNaB9m9EECPKsVwgRkOPOuqo3o1TMWoa5x1lrWLKPgJ0fA2K0cO9aLvdo3xArC2I35Lit5NvfOMb+32C/cU3xbJly7LfOOK3tPhH6qlvNRx2uwNQbEPt2q12/XeEw3AVY7d7wbE2yibEWoxYEDwccYJRoyrWpES5hrjYY0Fu3239AADUhoJXl0YV/LgNV6wziXTc0282hqJj110MecfwMAAAtWPM13xGJ4CoddVXhM54vNw7XFRA/X0AKFgsfTPlTqmM+b76qMzfUwy1R9yPdQFPP/30gDvlojBq3HrEc/PydHtnb4eLQjpOAABQobvdY1deLFjtucUmpVLYurM1PdXaMeTtmfaxK0UAAFBtxnxYL7b79681FfdjF9Rg9cGiKGvsju878lmKAPrjX/82NTcO3XWipbkxnXXCpDS+wO4UAJQHS6wg3++XMQ+f0Xrrjjvu2OexKIQajw8mWnbFrdQaG+rTIc37tgnrq7WjM+1t7UgdXf7HBVBpetoVRn/vYhdLh2q1d+/eAduojmn4jIr8Dz300D6llKKEUvSOjSKrMWoZTe2jm0CI9lI33HBD+uAHP5j1bL3zzjuzNl+DdSIoJ+MbGtJBTUOPaLZ3dqWn2wqbem+srzNSClBiUXA7imlHd6Ceous9PbOBATZk792bfb/E903//vZjGj6jD2zU7OzRMz2+ZMmSrGhtFJ6Pqvk9osxSBM33ve99WdP76MTwt3/7t1VRZqmhvi7taetI6x8urLetqXqA8hBLw0JPAAWGFsGz5/smt/AZbZuGmu+PADrQa37yk5+katPUWJ+mTmxJnQVMu5uqBygfMdJ5zDHHZG0iox86MLiYah/NiGcPdYSKEEALFVP1AJSP+IFajB+qwIEJn0No7eg6YCml5sZ6a4QAAIZJ+BzCe7/20wM+Z+bkQ9OKc2YVHED7b1KyCQkAqAXCZz8HjWtIpx97WPrJ5uG1Hdu0dXc2Qjrc4DjYJiWbkACAWiB89hMjmH//lnlp7c+eSIc0jUvjBym1FIHzops3FmWTkk1IAECtED4HCaDR2ah5XMOYjEQOtEnJJiQAoBaUZW93AACqk5HPMtKzCcnmIwCgWgmfZaD/JiSbjwCAaiV8loG+m5BsPgIAqpnwWQSx870QAxWm77sJyeYjAKBaCZ9FUGjJpZEWpgcAqHR2u49QjF5GiByJnsL0AACLine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -333,16 +327,24 @@
|
|||||||
"id": "5e742ebe",
|
"id": "5e742ebe",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.849368Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.217705Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.849075Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.217547Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:55.960684Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.319409Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:55.960431Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.319126Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70612/380004221.py:3: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
|
||||||
|
" for sex, df in BrainCancer.groupby('sex'):\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -378,10 +380,10 @@
|
|||||||
"id": "4106e397",
|
"id": "4106e397",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:55.962264Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.320825Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:55.962134Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.320720Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.004551Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.369010Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.004317Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.368744Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -491,10 +493,10 @@
|
|||||||
"id": "8962942d",
|
"id": "8962942d",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.005821Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.370379Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.005710Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.370240Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.022741Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.390186Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.022512Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.389904Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -584,10 +586,10 @@
|
|||||||
"id": "d923fe3d",
|
"id": "d923fe3d",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.024051Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.391470Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.023976Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.391389Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.028225Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.395931Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.027998Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.395714Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -690,10 +692,10 @@
|
|||||||
"id": "43b23849",
|
"id": "43b23849",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.029525Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.397443Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.029451Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.397345Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.055622Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.425936Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.055386Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.425693Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -838,10 +840,10 @@
|
|||||||
"id": "20f95f4d",
|
"id": "20f95f4d",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.056935Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.427427Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.056860Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.427328Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.059439Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.430341Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.059190Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.430045Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -871,10 +873,10 @@
|
|||||||
"id": "18ef52a9",
|
"id": "18ef52a9",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.060778Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.431840Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.060701Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.431760Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.065090Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.436751Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.064856Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.436503Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -999,10 +1001,10 @@
|
|||||||
"id": "dc826bbc",
|
"id": "dc826bbc",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.066333Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.438051Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.066235Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.437925Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.073007Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.445359Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.072802Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.445106Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1141,10 +1143,10 @@
|
|||||||
"id": "867045f7",
|
"id": "867045f7",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.074287Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.446788Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.074217Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.446666Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.079015Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.451983Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.078796Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.451782Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1302,17 +1304,17 @@
|
|||||||
"id": "9fa60bac",
|
"id": "9fa60bac",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.080399Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.453343Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.080330Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.453269Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.151344Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.508384Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.151104Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.508148Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAp8AAAKTCAYAAABfKmNzAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAhDNJREFUeJzt3QV81PUfx/H3ugsGGxujuyUFbFBs0b+K2J1YWFjYomJgoNitYCeCioJKKqA00jEYI7exjvs/vr/bJki4uN3v4vV8PH7/+93d7+4++3PCe98McDgcDgEAAABuEOiODwEAAAAMwicAAADchvAJAAAAtyF8AgAAwG0InwAAAHAbwicAAADchvAJAAAAtwmWFygrK9OmTZsUExOjgIAAu8sBAADAv5il43NycpSSkqLAwEDvDp8meKalpdldBgAAAP7Dhg0b1LhxY+8On6bFs+KHiY2NtbscAAAA/Et2drbVWFiR27w6fFZ0tZvgSfgEAADwXP81RJIJRwAAAHAbwicAAADchvAJAAAAt/GKMZ8AAMCepQ6LiorsLgMeIiQkREFBQbV+H8InAADYhwmda9assQIoUCE+Pl7Jycm1Wned8AkAAPZZLHzz5s1WK5dZOudgC4bDf74TeXl5yszMtO43atSoxu9F+AQAAHspKSmxgobZqSYyMtLucuAhIiIirFsTQBs2bFjjLnh+lQEAAHspLS21bkNDQ+0uBR6m4peR4uLiGr8H4RMAAOxXbcb1wTcFuOA7QfgEAACA2xA+AQAAauD+++9Xt27d6qR18YsvvpCvInwCAACfcPHFF1vB7eqrr97nueuuu856zlzjKrfeequmTJkiV9u8ebNOOOEE+SrCJwAA8Blmaajx48crPz+/8rGCggJ98MEHatKkiUs/Kzo6WvXr15erJScnKywsTL6K8AkAAHxG9+7drQD62WefVT5mzk3wPOSQQyofM4vnjxo1Ss2bN7eWEOratas++eSTyuenTp1qtZSals2ePXtas7z79eun5cuXH7Db3bSqDh48WE8++aS1DqYJpqbFdc+Z4Zs3b9ZJJ51kfab5bBOKmzVrpjFjxhyw233hwoU65phjrNeY97zyyiu1e/fufT730UcfVVJSkrUQ/IMPPmgtmXXbbbepXr16aty4sd588829/r+644471KZNG+tna9Gihe69995azWKvKtb5BAAA/7nAeH6xc/kld4sICar2DOtLL73UClrnnXeedf+NN97QJZdcYgXKCiZ4vvfeexo3bpxat26tX375Reeff74aNGigI488svK6u+++W0899ZT1uOnON+89ffr0A372zz//bAVPc7ty5UoNGTLECqhXXHGF9fyFF16obdu2WbWY7SqHDx9euXD7/uTm5mrQoEHq27evfv/9d+vayy+/XMOGDdNbb71Ved1PP/1kBUzzc5j6LrvsMs2YMUNHHHGEZs+erQkTJuiqq67Ssccea11nxMTEWO9h1nM1AdfUaB67/fbbVZcInwAA4KBM8OwwcrItn73kwUGKDK1eXDEh8s4779S6deus+yaMma74ivBZWFhotRL++OOPVqgzTMvfb7/9ppdffnmv8PnII49U3h8xYoTVamm68cPDw/f72QkJCXrhhResBdjbtWtnXW9aT02wW7ZsmfWZJkSa1lTjtddes8LvgZiWUfN577zzjqKioqzHzPufcsopevzxx62WTsO0bj733HPWblRt27bVE088YW0UcNddd1nPm/8/HnvsMetnPOecc6zH7rnnnsrPMa2vZgyr+f+J8AkAAFANppXShD7Tqmdabc15YmJi5fOmRdIEM9MK+O/97Pfsmje6dOlSeV6xpaRpfTzQ+NGOHTvutfOPeY1pVTRMl31wcLA1NKBCq1atrMB6IEuXLrWGBFQET6N///7WsAHzfhXh03zuntugmsc7depUed/UZLrs92xlNa2hJrCuWrXK6sY33fSxsbGqa4RPAADwn13fpgXSrs+uCdM9brqmjbFjx+71XMV4yW+//Vapqal7PffviT6ma7xCRfe/CX4Hsuf1Fa852PWusr/PPVgtM2fOtIYlPPDAA1a3flxcnNXqaYYY1DXCJwAAOCgTWqrb9W23448/3mrJNLWbcLWnDh06WCFz/fr1e3Wx1zXTHV5SUqL58+erR48ela2wO3fuPOBr2rdvb7XgmrGfFa2fZhhBRfd6TZnxoE2bNrXGtFaoGKZQ17zrmwQAAFAFppvZdFlXnO/JTKox4xtvvvlmqyXwsMMOU1ZWlhXqTLfzRRddVCc1mTGgAwcOtGarv/TSS1bL5C233GLNYj/QpCrTOnnfffdZNZnZ9Vu3btX111+vCy64oLLLvSbMOFMTvk1rZ69evaxW4M8//1weudSSmUVlBrmamVFVXYHfDPA14xvMbxlmbMOes7MAAADqggmSBxrD+NBDD1lLC5lZ76Z10bSUmgBmlj+qS++8844VGs0s9NNPP71yhvmBJjCZZZAmT56sHTt2WCHxzDPP1IABA6xJR7Vx6qmnWuHbDE0ws/FNS6j5/8MdAhxmJG41fPfdd9ZvBqa5+IwzzrBSsllb6kDWrFljDXg1yxOYpQHMjK+bbrrJ+gP+dzP4gWRnZ1tjEcxvJe4YCAsAgD8zs6vNv98miB0oFME1Nm7caK1LambBm1Dpzd+Nqua1ane7m+2eqrPlk1k/yxRYMYDV/HZhpvk/88wzVQ6fAAAAvuCnn36yJjx17tzZWnDeLGtkljkyLaH+os53ODKzqcz4hj2Z0GkePxCz/pZJz3seAAAA3q64uNhae9MsjWS63c2yUBULzvuLOp9wlJGRsc+AWHPfBEqz76oZZPtvZvyFmfpvh4ysAg37YN5Br4kMC9Y1R7ZU35au388VAAD4rkGDBvl9z69HznY3q/Cb7aYqmKBqxkO4Q0FhkZas3HTQa0oCgzVj5Tadf2hTpdWLrHw8NDhQTepFqnn9KKUmRCgosHrbgQEAAPi6Og+fycnJ2rJly16PmftmIOr+Wj0NMyv+34u8ukvB5kX69NuDz/YqC5Ce7nek3ppxygGvCQkKsIKpCaLNEp2HOW/RIEop8fv/uQEAAHxdnYdPs2fqxIkT93rshx9+qNxL1dOYnRTy/uOaQId0yaLfFHP9JXIEh1Y+nldUqnXbc7V2e56KSsq0emuudfxbu+QYDT4kVad2TSGIAgAAv1Lt8GlmaJnV+CuY6fZ//vmntaG92efUdJmnp6db61gZZoklsxaVmc1ltroys7w++ugja6klT5TStru2zZx8wOcL83dr86lnqn5Wqc7aPUn9r75vn2vKyhzanF2gtdtytWZbrnW7drvzfN32PC3LyNFj3y3T45OWqU/zejr9kFSd2LmRYsL9Z7AxAADwT9Ve59PMyDr66KP3edysvG8Wj7/44ou1du1a67o9X2MWMl2yZIkaN25sLWJqrqsqT1vn88tHLlebd6db51kN/hnzWRoeopAj+qnDOVcpuvX+t7zKyivWxEWb9fn8dM1Zs6Py8YYxYXryrK46ok0DN/wEAAAcGOt8oi7X+ax2+LSDp4XPHTs3a8mgAaqffeD/63Y2iVfUCYPU7uzLFZbaeL/XbNyZp6/+2qTxczZo/Q5nZ//F/Zrp6HYN93t944QItWwQ7aKfAgCA/SN84kAInzZauvZ3rfpz2l6P5axZoeCfZqvdqkIFl/3z+M42yap/ymC1PON8Bdffd3mm/KJSjfpuqd6Zue4/P/ekzo00/Lg2hFAAQJ0hfNaO6Qk2uznu2rXLum/2ZDfbkZthit6O8OmBSstKNffvn7X00zcV+8tfarOutHIl/9JAKadLc7W/51HFd+q2z2t/Xp6pl6auUm5hyX7e16HlW3Jk/rTMEk5ndm+sGwe2ZsISAMDlvDV8miF9JvCZoLe/IYM7d+5UfHy89ZiJP6+99preeOMNLV68WGVlZWratKm1Mc7111+vVq1auSx8mvkyZgOd+vtpgPI2tmyv6fNyMqRvbj74NaFR0tF3S/Wa7/NUUGCQercbqN53D1TBHQX67c8vtfbz95U8Y6VabnYo/s81WnvueWrwxKNKPf60vV57dNuG1nEgyzKy9eTkv/Xj0i2a8McGfb8kQ9/ffKQaxNizLBUAAN7IBM9zzz3XCqlmtyGz5XdKSoo2bdqkzz//XA8//LAVIF0lOjraOuCm7TW9TnGetHziwY+FH0tzXv3PtwoPDtfAnkN0+SNf6bDvZmj5uBu0tEWIworKtOvmEVrx6rPVKq1dcqxeu6inPr2mn1okRmlnXrE+nLO+Fj8sAAD+Z8KECRo/frx1ayZBH3roodaKPeb28ccf15tvvnnQ13/11Vdq3bq11fJnWlTffvttBQQEVLZ0/pvpdu/W7Z8ez7KyMj344IPWJGyzrrl5btKkSZXPm4nb5v3M6kCHH364tS56r1699Pfff+v3339Xz549rTB7wgknaOvWrZWvM88de+yxSkxMtFogjzzySM2bd/BdG+1Ay+e/RSZKpzx34Oc3zJb+fF/asapabxsfHq/BR12j9V2P10/XD1GfP3JU8tQ4LVy/Vp3uf1IBQUFVfq8eTRN0w4DWumnCn/pg9noNO7qVAtlNCQBQV8yYL9M4Y4eQSCnAtf/Gffjhh2rbtq1OPfXU/T5vgt+BmC7nM888UzfeeKMuv/xyzZ8/X7feemu1Pv/ZZ5/VU089pZdfflmHHHKI1fVvajHd/ybUVrjvvvs0ZswYKxib5SpNa21MTIz1+sjISJ199tkaOXKkXnrpJev6nJwca/Wh559/3mrdNZ9x4oknasWKFdbrPAXh89/CY6UeFx34+fgm5eFzdY3evklCc5366iR9eM/ZOubbdAV/PEnzN2xUtxffVmDkP8s2/ZcTOifrzs+ClJFdoFVbd6t1kud8qQAAPsYEz0dT7PnsuzY5h7tV0TfffLNPF3dpaele900LogmfezJjNM0YUMOMC924ceN+398Line truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1345,16 +1347,16 @@
|
|||||||
"id": "f8c1a98e",
|
"id": "f8c1a98e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.152821Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.509713Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.152701Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.509616Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.230052Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.575866Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.229811Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.575533Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1390,10 +1392,10 @@
|
|||||||
"id": "cd1ed9ac",
|
"id": "cd1ed9ac",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.231448Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.577381Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.231371Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.577276Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.253732Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.603522Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.253504Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.603251Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1479,10 +1481,10 @@
|
|||||||
"id": "d53335b0",
|
"id": "d53335b0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.255073Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.604965Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.255003Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.604889Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.284350Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.639892Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.284045Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.639595Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1623,10 +1625,10 @@
|
|||||||
"id": "582c992b",
|
"id": "582c992b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.285647Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.641344Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.285576Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.641249Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.288228Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.644691Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.287999Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.644397Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1661,10 +1663,10 @@
|
|||||||
"id": "f3367dad",
|
"id": "f3367dad",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.289419Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.646236Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.289350Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.646138Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.295467Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.653905Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.295239Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.653638Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1693,10 +1695,10 @@
|
|||||||
"id": "fdfd2789",
|
"id": "fdfd2789",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.296977Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.655350Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.296905Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.655251Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.300297Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.659296Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.300080Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.659041Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1805,10 +1807,10 @@
|
|||||||
"id": "1a9b68c8",
|
"id": "1a9b68c8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.301604Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.660480Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.301530Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.660411Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.305801Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.701074Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.305262Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.693437Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1852,10 +1854,10 @@
|
|||||||
"id": "d2118fdd",
|
"id": "d2118fdd",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.310515Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.732130Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.310277Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.731547Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.313678Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.737683Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.312612Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.734951Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1883,10 +1885,10 @@
|
|||||||
"id": "68304ba6",
|
"id": "68304ba6",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.316852Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.746538Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.316648Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.745498Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.419919Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.870126Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.419384Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.866238Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1912,10 +1914,10 @@
|
|||||||
"id": "becf4cd2",
|
"id": "becf4cd2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.423676Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.875564Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.423359Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.875279Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.434279Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.886526Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.433259Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.884362Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2020,10 +2022,10 @@
|
|||||||
"id": "e480331c",
|
"id": "e480331c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.437399Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.891617Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.437090Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.891299Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.442236Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.898541Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.441064Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.896872Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2056,13 +2058,21 @@
|
|||||||
"id": "a194c96e",
|
"id": "a194c96e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.445459Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.901959Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.445197Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.901236Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.618294Z",
|
"iopub.status.idle": "2025-04-03T19:34:13.997840Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.618033Z"
|
"shell.execute_reply": "2025-04-03T19:34:13.997575Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70612/1365832640.py:3: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
|
||||||
|
" for center, df in D.groupby('Center'):\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -2075,7 +2085,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2108,13 +2118,21 @@
|
|||||||
"id": "3c9eae8a",
|
"id": "3c9eae8a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.619764Z",
|
"iopub.execute_input": "2025-04-03T19:34:13.999260Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.619647Z",
|
"iopub.status.busy": "2025-04-03T19:34:13.999157Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.725906Z",
|
"iopub.status.idle": "2025-04-03T19:34:14.134838Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.725634Z"
|
"shell.execute_reply": "2025-04-03T19:34:14.134512Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stderr",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"/var/folders/16/8y65_zv174qgdp4ktlmpv12h0000gq/T/ipykernel_70612/957073325.py:3: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.\n",
|
||||||
|
" for time, df in D.groupby('Time'):\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
@@ -2127,7 +2145,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2164,10 +2182,10 @@
|
|||||||
"id": "bb8a37eb",
|
"id": "bb8a37eb",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.727330Z",
|
"iopub.execute_input": "2025-04-03T19:34:14.136408Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.727224Z",
|
"iopub.status.busy": "2025-04-03T19:34:14.136300Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.739716Z",
|
"iopub.status.idle": "2025-04-03T19:34:14.150882Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.739485Z"
|
"shell.execute_reply": "2025-04-03T19:34:14.150594Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2271,10 +2289,10 @@
|
|||||||
"id": "e3299d19",
|
"id": "e3299d19",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.741062Z",
|
"iopub.execute_input": "2025-04-03T19:34:14.152239Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.740984Z",
|
"iopub.status.busy": "2025-04-03T19:34:14.152163Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.753655Z",
|
"iopub.status.idle": "2025-04-03T19:34:14.165607Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.753435Z"
|
"shell.execute_reply": "2025-04-03T19:34:14.165368Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2381,10 +2399,10 @@
|
|||||||
"id": "b9004e25",
|
"id": "b9004e25",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.755032Z",
|
"iopub.execute_input": "2025-04-03T19:34:14.166793Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.754959Z",
|
"iopub.status.busy": "2025-04-03T19:34:14.166721Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.856726Z",
|
"iopub.status.idle": "2025-04-03T19:34:14.264677Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.856494Z"
|
"shell.execute_reply": "2025-04-03T19:34:14.264450Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2486,10 +2504,10 @@
|
|||||||
"id": "1780384e",
|
"id": "1780384e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.858260Z",
|
"iopub.execute_input": "2025-04-03T19:34:14.265906Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.858163Z",
|
"iopub.status.busy": "2025-04-03T19:34:14.265824Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:56.951866Z",
|
"iopub.status.idle": "2025-04-03T19:34:14.362449Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:56.951640Z"
|
"shell.execute_reply": "2025-04-03T19:34:14.362216Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2594,10 +2612,10 @@
|
|||||||
"id": "19f93f96",
|
"id": "19f93f96",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:56.953169Z",
|
"iopub.execute_input": "2025-04-03T19:34:14.363727Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:56.953096Z",
|
"iopub.status.busy": "2025-04-03T19:34:14.363654Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:57.089908Z",
|
"iopub.status.idle": "2025-04-03T19:34:14.527687Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:57.089269Z"
|
"shell.execute_reply": "2025-04-03T19:34:14.525353Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2715,8 +2733,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -2728,7 +2746,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Unsupervised Learning
|
# Unsupervised Learning
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch12-unsup-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch12-unsup-lab.ipynb">
|
||||||
|
|||||||
+251
-251
@@ -22,7 +22,7 @@
|
|||||||
"In this lab we demonstrate PCA and clustering on several datasets.\n",
|
"In this lab we demonstrate PCA and clustering on several datasets.\n",
|
||||||
"As in other labs, we import some of our libraries at this top\n",
|
"As in other labs, we import some of our libraries at this top\n",
|
||||||
"level. This makes the code more readable, as scanning the first few\n",
|
"level. This makes the code more readable, as scanning the first few\n",
|
||||||
"lines of the notebook tell us what libraries are used in this\n",
|
"lines of the notebook tells us what libraries are used in this\n",
|
||||||
"notebook."
|
"notebook."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
@@ -32,10 +32,10 @@
|
|||||||
"id": "1f7a6c07",
|
"id": "1f7a6c07",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:58.245147Z",
|
"iopub.execute_input": "2025-04-03T19:34:15.517565Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:58.244639Z",
|
"iopub.status.busy": "2025-04-03T19:34:15.517488Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:58.980175Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.192207Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:58.979888Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.191872Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -65,10 +65,10 @@
|
|||||||
"id": "1e14c3f7",
|
"id": "1e14c3f7",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:58.981864Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.193845Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:58.981743Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.193668Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:19:59.038480Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.247772Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:19:59.038262Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.247507Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -102,10 +102,10 @@
|
|||||||
"id": "9d155861",
|
"id": "9d155861",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:19:59.039866Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.249169Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:19:59.039756Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.249050Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.015887Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.591244Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.015393Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.591005Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -577,10 +577,10 @@
|
|||||||
"id": "98cd6d32",
|
"id": "98cd6d32",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.019290Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.592640Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.018842Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.592559Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.022851Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.594802Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.022397Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.594568Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -613,10 +613,10 @@
|
|||||||
"id": "93783538",
|
"id": "93783538",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.025039Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.595936Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.024890Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.595867Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.029072Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.598335Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.028691Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.598132Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -656,10 +656,10 @@
|
|||||||
"id": "1f89db32",
|
"id": "1f89db32",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.031071Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.599631Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.030915Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.599562Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.034379Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.601880Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.034033Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.601672Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -710,10 +710,10 @@
|
|||||||
"id": "dc04eed1",
|
"id": "dc04eed1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.036290Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.603007Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.036153Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.602942Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.039673Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.605582Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.039402Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.605366Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -740,10 +740,10 @@
|
|||||||
"id": "a350773d",
|
"id": "a350773d",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.041302Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.606705Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.041187Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.606635Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.042988Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.608125Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.042688Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.607914Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -769,10 +769,10 @@
|
|||||||
"id": "f4fe8410",
|
"id": "f4fe8410",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.044752Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.609197Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.044629Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.609133Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.048289Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.612202Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.048020Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.611999Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1214,10 +1214,10 @@
|
|||||||
"id": "605a0ca8",
|
"id": "605a0ca8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.049772Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.613377Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.049682Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.613307Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.051822Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.615349Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.051552Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.615157Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1251,10 +1251,10 @@
|
|||||||
"id": "963374b1",
|
"id": "963374b1",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.053341Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.616457Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.053256Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.616391Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.055003Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.618136Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.054717Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.617904Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1280,10 +1280,10 @@
|
|||||||
"id": "8d158f66",
|
"id": "8d158f66",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.056542Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.619275Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.056453Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.619209Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.058672Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.621134Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.058391Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.620875Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1323,17 +1323,17 @@
|
|||||||
"id": "0ca1c80b",
|
"id": "0ca1c80b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.060083Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.622221Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.059998Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.622159Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.163601Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.755562Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.163039Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.754910Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1373,16 +1373,16 @@
|
|||||||
"id": "4266c73b",
|
"id": "4266c73b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.168170Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.759475Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.167869Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.759140Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.278302Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.846839Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.277775Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.843547Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1420,10 +1420,10 @@
|
|||||||
"id": "abf3dd55",
|
"id": "abf3dd55",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.281501Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.850831Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.281202Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.850327Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.286262Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.856281Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.285205Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.854840Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1458,10 +1458,10 @@
|
|||||||
"id": "2b86e577",
|
"id": "2b86e577",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.289493Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.860472Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.288828Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.859984Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.294507Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.869910Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.294014Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.865759Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1496,10 +1496,10 @@
|
|||||||
"id": "5ffec7f8",
|
"id": "5ffec7f8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.297422Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.873863Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.297193Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.872328Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.304441Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.881845Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.303923Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.877715Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1537,10 +1537,10 @@
|
|||||||
"id": "427cf5d8",
|
"id": "427cf5d8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.307404Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.885679Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.307167Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.884446Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.417318Z",
|
"iopub.status.idle": "2025-04-03T19:34:16.958609Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.417075Z"
|
"shell.execute_reply": "2025-04-03T19:34:16.958311Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1573,17 +1573,17 @@
|
|||||||
"id": "4336fd05",
|
"id": "4336fd05",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.418792Z",
|
"iopub.execute_input": "2025-04-03T19:34:16.960239Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.418713Z",
|
"iopub.status.busy": "2025-04-03T19:34:16.960156Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.490050Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.006588Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.489809Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.006345Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1500x600 with 2 Axes>"
|
"<Figure size 1500x600 with 2 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1621,10 +1621,10 @@
|
|||||||
"id": "505827c8",
|
"id": "505827c8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.491458Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.007832Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.491361Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.007758Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.493334Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.009760Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.493123Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.009526Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1670,10 +1670,10 @@
|
|||||||
"id": "9902f1be",
|
"id": "9902f1be",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.494542Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.011082Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.494449Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.010984Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.496446Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.013533Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.496239Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.013281Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1711,10 +1711,10 @@
|
|||||||
"id": "2f56e336",
|
"id": "2f56e336",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.497684Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.014952Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.497595Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.014857Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.499525Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.017092Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.499269Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.016838Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1742,10 +1742,10 @@
|
|||||||
"id": "720e92a9",
|
"id": "720e92a9",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.500875Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.018363Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.500774Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.018264Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.502897Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.020419Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.502626Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.020143Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1782,10 +1782,10 @@
|
|||||||
"id": "08ad9e05",
|
"id": "08ad9e05",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.504280Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.021778Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.504187Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.021689Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.506272Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.023927Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.505977Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.023719Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1812,10 +1812,10 @@
|
|||||||
"id": "7ec6643a",
|
"id": "7ec6643a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.507544Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.025038Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.507437Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.024957Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.509358Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.026855Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.509140Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.026644Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1857,10 +1857,10 @@
|
|||||||
"id": "897e5bbb",
|
"id": "897e5bbb",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.510666Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.028041Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.510571Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.027956Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.512527Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.029967Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.512309Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.029770Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1897,10 +1897,10 @@
|
|||||||
"id": "2fd5410d",
|
"id": "2fd5410d",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.513710Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.031103Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.513635Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.031005Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.515194Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.032784Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.514994Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.032581Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1930,10 +1930,10 @@
|
|||||||
"id": "46c135c3",
|
"id": "46c135c3",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.516282Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.033925Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.516215Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.033853Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.517899Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.035655Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.517702Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.035391Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1958,10 +1958,10 @@
|
|||||||
"id": "0fd401ba",
|
"id": "0fd401ba",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.519024Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.036966Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.518963Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.036895Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.520581Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.038678Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.520375Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.038482Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -1998,10 +1998,10 @@
|
|||||||
"id": "bcbe5405",
|
"id": "bcbe5405",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.521714Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.039981Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.521647Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.039903Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.524162Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.042845Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.523946Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.042634Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2053,10 +2053,10 @@
|
|||||||
"id": "e85cd692",
|
"id": "e85cd692",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.525418Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.044098Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.525349Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.044000Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.527505Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.046353Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.527286Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.046077Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -2111,10 +2111,10 @@
|
|||||||
"id": "f6e58256",
|
"id": "f6e58256",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.528820Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.047801Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.528749Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.047711Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.530487Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.049454Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.530226Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.049246Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2140,10 +2140,10 @@
|
|||||||
"id": "6d739b86",
|
"id": "6d739b86",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.531627Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.050664Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.531561Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.050574Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.824303Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.336665Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.823941Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.336230Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2168,10 +2168,10 @@
|
|||||||
"id": "701ef903",
|
"id": "701ef903",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.826191Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.338641Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.826070Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.338513Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.828818Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.341236Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.828538Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.340919Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2210,16 +2210,16 @@
|
|||||||
"id": "b00fbcc9",
|
"id": "b00fbcc9",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.830418Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.343066Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.830277Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.342971Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.904250Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.400006Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.903956Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.399649Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2257,17 +2257,17 @@
|
|||||||
"id": "f2cad047",
|
"id": "f2cad047",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.905738Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.401540Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.905623Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.401434Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.982351Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.460475Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.982085Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.460195Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2306,10 +2306,10 @@
|
|||||||
"id": "f1436671",
|
"id": "f1436671",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.984089Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.461904Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.983822Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.461808Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.992694Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.473479Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.992450Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.473231Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -2379,10 +2379,10 @@
|
|||||||
"id": "3a2d2b24",
|
"id": "3a2d2b24",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.994226Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.474981Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.994147Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.474910Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:00.997621Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.478619Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:00.997244Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.478294Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -2830,10 +2830,10 @@
|
|||||||
"id": "dc8c9fa7",
|
"id": "dc8c9fa7",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:00.999073Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.480167Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:00.998978Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.480027Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.001611Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.483291Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.001348Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.482911Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -2863,10 +2863,10 @@
|
|||||||
"id": "17af050a",
|
"id": "17af050a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.003143Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.484706Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.003055Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.484593Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.007137Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.489391Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.006871Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.489071Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -3327,16 +3327,16 @@
|
|||||||
"id": "b2902747",
|
"id": "b2902747",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.008552Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.490835Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.008452Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.490732Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.157711Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.570177Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.157301Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.569797Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3372,16 +3372,16 @@
|
|||||||
"id": "81bc1753",
|
"id": "81bc1753",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.159274Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.571743Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.159152Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.571623Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.340885Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.650916Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.340610Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.650458Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAApIAAAKTCAYAAACq1OjDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAx90lEQVR4nO3de5BcZZ0//mcml8kkkKwGuVVCkkUgaLgkkggkalBEvCxi7YqWLGhcLWoXZZVyFbyxFAqroKslK94WjIoKWmZVXNzfEoxyUQQSQEpXLlGIQhIgkIGZZpLJfH5/8J1xJumZ6fNM93T3zOtV1VUz3eec5zl9Tp9+n+f085yWiIgEAAAFtda7AgAANCdBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBl8lgX2Nvbmx555JG09957p5aWlrEuHgCAEUREevrpp9OBBx6YWluHbncc8yD5yCOPpLlz5451sQAAFLRp06Y0Z86cIV8f8yC59957p5Seq9jMmTPHungAAEbQ0dGR5s6d25/bhjLmQbLvcvbMmTMFSQCABjbSzxB1tgEAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBlcr0rwNiJiNTV1VXvagBQRdOnT08tLS31rgYTlCA5QUREWrFiRbr11lvrXRUAqmj58uXppptuEiapC5e2J4iuri4hEmAcuuWWW1xtom60SE5AW7ZsSTNmzKh3NQAYhc7OzrTffvvVuxpMcILkBDRjxgxBEgAYNZe2AQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQpFCR37dqVPvaxj6UFCxak9vb2dPDBB6eLLrooRUSt6gcAQIOaXGTiT33qU+mKK65Iq1evTi9+8YvTHXfckVatWpVmzZqVzjnnnFrVEQCABlQoSN56663pjW98Y3r961+fUkpp/vz56Tvf+U769a9/XZPKAQDQuApd2j7++OPT2rVr03333ZdSSunuu+9ON998c3rta1875Dzd3d2po6Nj0AMAgOZXqEXyvPPOSx0dHWnhwoVp0qRJadeuXemTn/xkOv3004ec55JLLkkXXnjhqCsKAEBjKdQiee2116arr746ffvb307r169Pq1evTpdddllavXr1kPOcf/75afv27f2PTZs2jbrSAADUX6EWyX/5l39J5513XnrrW9+aUkrpiCOOSA899FC65JJL0tvf/vay87S1taW2trbR1xQAgIZSqEWyq6srtbYOnmXSpEmpt7e3qpUCAKDxFWqR/Ju/+Zv0yU9+Mh100EHpxS9+cdqwYUP67Gc/m975znfWqn4AADSoQkHyC1/4QvrYxz6W/umf/ilt3bo1HXjggemss85KH//4x2tVPwAAGlRLjPFtaTo6OtKsWbPS9u3b08yZM8ey6Amts7Mz7bXXXimllJ555pk0Y8aMOtcIgNFwXKeWKs1r7rUNAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIMrneFQBgfImI1NXVVe9qjHudnZ1l/6Z2pk+fnlpaWupdjYYiSAJQNRGRVqxYkW699dZ6V2VC2W+//epdhQlh+fLl6aabbhImB3BpG4Cq6erqEiIZt2655Rat7bvRIglATWzZsiXNmDGj3tWAUevs7NTqOwRBEoCamDFjhiAJ45xL2wAAZBEkAQDIIkgCAJClcJD885//nP7+7/8+zZ49O7W3t6cjjjgi3XHHHbWoGwAADaxQZ5snn3wyLV++PJ1wwgnp+uuvTy94wQvS/fffn573vOfVqn4AADSoQkHyU5/6VJo7d2666qqr+p9bsGBB1SsFAEDjK3Rp+0c/+lE65phj0pvf/Oa07777psWLF6evfvWrw87T3d2dOjo6Bj0AAGh+hYLkxo0b0xVXXJEOOeSQ9D//8z/pH//xH9M555yTVq9ePeQ8l1xySZo1a1b/Y+7cuaOuNAAA9dcSEVHpxFOnTk3HHHPMoNtfnXPOOen2229Pv/zlL8vO093dnbq7u/v/7+joSHPnzk3bt29PM2fOHEXVKaKzszPttddeKaWUnnnmGYMEAzXhWMN4NBH3646OjjRr1qwR81qhFskDDjggvehFLxr03OGHH54efvjhIedpa2tLM2fOHPQAAKD5FQqSy5cvT7///e8HPXffffelefPmVbVSAAA0vkJB8v3vf3/61a9+lS6++OL0wAMPpG9/+9vpK1/5Sjr77LNrVT8AABpUoSC5dOnStGbNmvSd73wnLVq0KF100UXpc5/7XDr99NNrVT8AABpUoXEkU0rpDW94Q3rDG95Qi7oAANBE3GsbAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAECWyfWuQL1EROrq6qp3NcZMZ2dn2b8ngunTp6eWlpZ6VwMAxp0JGSQjIq1YsSLdeuut9a5KXey33371rsKYWr58ebrpppuESQCosgl5aburq2vChsiJ6JZbbplQrc8AMFYmZIvkQFu2bEkzZsyodzWogc7OzgnX+goAY2nCB8kZM2YIkgAAGSbkpW0AAEZPkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkEWQBAAgiyAJAEAWQRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgAAZBEkAQDIIkgCAJBFkAQAIIsgCQBAFkESAIAsgiQAAFkESQAAsgiSAABkESQBAMgiSAIAkGVUQfLf/u3fUktLS3rf+95XpeoAANAssoPk7bffnr785S+nI488spr1AQCgSWQFyWeeeSadfvrp6atf/Wp63vOeV+06AQDQBLKC5Nlnn51e//rXpxNPPHHEabu7u1NHR8egBwAAzW9y0Rm++93vpvXr16fbb7+9oukvueSSdOGFFxauGAAAja1Qi+SmTZvSP//zP6err746TZs2raJ5zj///LR9+/b+x6ZNm7IqCgBAYynUInnnnXemrVu3piVLlvQ/t2vXrvSLX/wiXX755am7uztNmjRp0DxtbW2pra2tOrUFAKBhFAqSr3rVq9JvfvObQc+tWrUqLVy4MH3oQx/aI0QCADB+FQqSe++9d1q0aNGg52bMmJFmz569x/MAAIxv7mwDAECWwr22d7du3boqVAMAgGajRRIAgCyCJAAAWQRJAACyCJIAAGQRJAEAyCJIAgCQRZAEACCLIAkAQBZBEgCALIIkAABZBEkAALIIkgALine truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3414,10 +3414,10 @@
|
|||||||
"id": "12fa137c",
|
"id": "12fa137c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.342467Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.652404Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.342352Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.652286Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.345327Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.655868Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.345090Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.655546Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -3456,10 +3456,10 @@
|
|||||||
"id": "bfbbb0bc",
|
"id": "bfbbb0bc",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.346645Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.657269Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.346551Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.657183Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.349500Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.660557Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.349288Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.660246Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -3542,16 +3542,16 @@
|
|||||||
"id": "4a183e53",
|
"id": "4a183e53",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.350672Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.661954Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.350588Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.661850Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.504539Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.770259Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.504262Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.769959Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3597,17 +3597,17 @@
|
|||||||
"id": "fca5af66",
|
"id": "fca5af66",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.505992Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.771606Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.505912Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.771512Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.626714Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.854077Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.626470Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.853788Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3649,10 +3649,10 @@
|
|||||||
"id": "64352331",
|
"id": "64352331",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.628099Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.855537Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.628029Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.855440Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.633228Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.859928Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.633002Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.859696Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -3682,10 +3682,10 @@
|
|||||||
"id": "224f03e9",
|
"id": "224f03e9",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.634598Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.861374Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.634524Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.861290Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.636446Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.863635Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.636188Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.863360Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -3719,10 +3719,10 @@
|
|||||||
"id": "7b5e3fe5",
|
"id": "7b5e3fe5",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.637751Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.864990Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.637686Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.864891Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.640873Z",
|
"iopub.status.idle": "2025-04-03T19:34:17.868728Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.640636Z"
|
"shell.execute_reply": "2025-04-03T19:34:17.868443Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -3775,10 +3775,10 @@
|
|||||||
"id": "8e1d2d85",
|
"id": "8e1d2d85",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.642205Z",
|
"iopub.execute_input": "2025-04-03T19:34:17.870023Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.642130Z",
|
"iopub.status.busy": "2025-04-03T19:34:17.869951Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:01.835589Z",
|
"iopub.status.idle": "2025-04-03T19:34:18.396294Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:01.834884Z"
|
"shell.execute_reply": "2025-04-03T19:34:18.393209Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -3807,17 +3807,17 @@
|
|||||||
"id": "5b76ee22",
|
"id": "5b76ee22",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:01.838692Z",
|
"iopub.execute_input": "2025-04-03T19:34:18.401043Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:01.838473Z",
|
"iopub.status.busy": "2025-04-03T19:34:18.399099Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:02.097401Z",
|
"iopub.status.idle": "2025-04-03T19:34:18.517689Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:02.097122Z"
|
"shell.execute_reply": "2025-04-03T19:34:18.516696Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1500x600 with 2 Axes>"
|
"<Figure size 1500x600 with 2 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3877,17 +3877,17 @@
|
|||||||
"id": "9b1b74c2",
|
"id": "9b1b74c2",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:02.098796Z",
|
"iopub.execute_input": "2025-04-03T19:34:18.521528Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:02.098709Z",
|
"iopub.status.busy": "2025-04-03T19:34:18.520466Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:02.211186Z",
|
"iopub.status.idle": "2025-04-03T19:34:18.643973Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:02.210897Z"
|
"shell.execute_reply": "2025-04-03T19:34:18.642828Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1500x600 with 2 Axes>"
|
"<Figure size 1500x600 with 2 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3950,10 +3950,10 @@
|
|||||||
"id": "9b95fed9",
|
"id": "9b95fed9",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:02.213627Z",
|
"iopub.execute_input": "2025-04-03T19:34:18.648478Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:02.213362Z",
|
"iopub.status.busy": "2025-04-03T19:34:18.648052Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:02.216618Z",
|
"iopub.status.idle": "2025-04-03T19:34:18.650900Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:02.216339Z"
|
"shell.execute_reply": "2025-04-03T19:34:18.650616Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -3988,17 +3988,17 @@
|
|||||||
"id": "6c58d281",
|
"id": "6c58d281",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:02.218730Z",
|
"iopub.execute_input": "2025-04-03T19:34:18.652318Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:02.218629Z",
|
"iopub.status.busy": "2025-04-03T19:34:18.652223Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:03.019903Z",
|
"iopub.status.idle": "2025-04-03T19:34:19.196366Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:03.019670Z"
|
"shell.execute_reply": "2025-04-03T19:34:19.196078Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1500x3000 with 3 Axes>"
|
"<Figure size 1500x3000 with 3 Axes>"
|
||||||
]
|
]
|
||||||
@@ -4041,10 +4041,10 @@
|
|||||||
"id": "ed965079",
|
"id": "ed965079",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:03.021337Z",
|
"iopub.execute_input": "2025-04-03T19:34:19.197720Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:03.021228Z",
|
"iopub.status.busy": "2025-04-03T19:34:19.197629Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:03.030000Z",
|
"iopub.status.idle": "2025-04-03T19:34:19.204934Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:03.029729Z"
|
"shell.execute_reply": "2025-04-03T19:34:19.204693Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -4235,16 +4235,16 @@
|
|||||||
"id": "c487bbc7",
|
"id": "c487bbc7",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:03.031335Z",
|
"iopub.execute_input": "2025-04-03T19:34:19.206154Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:03.031249Z",
|
"iopub.status.busy": "2025-04-03T19:34:19.206083Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:03.418631Z",
|
"iopub.status.idle": "2025-04-03T19:34:19.372965Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:03.417729Z"
|
"shell.execute_reply": "2025-04-03T19:34:19.372705Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1000x1000 with 1 Axes>"
|
"<Figure size 1000x1000 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -4264,7 +4264,7 @@
|
|||||||
"id": "7976c47b",
|
"id": "7976c47b",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"The `axhline()` function draws a horizontal line line on top of any\n",
|
"The `axhline()` function draws a horizontal line on top of any\n",
|
||||||
"existing set of axes. The argument `140` plots a horizontal\n",
|
"existing set of axes. The argument `140` plots a horizontal\n",
|
||||||
"line at height 140 on the dendrogram; this is a height that\n",
|
"line at height 140 on the dendrogram; this is a height that\n",
|
||||||
"results in four distinct clusters. It is easy to verify that the\n",
|
"results in four distinct clusters. It is easy to verify that the\n",
|
||||||
@@ -4284,10 +4284,10 @@
|
|||||||
"id": "345edc5f",
|
"id": "345edc5f",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:03.421007Z",
|
"iopub.execute_input": "2025-04-03T19:34:19.374297Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:03.420875Z",
|
"iopub.status.busy": "2025-04-03T19:34:19.374201Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:04.678569Z",
|
"iopub.status.idle": "2025-04-03T19:34:21.414046Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:04.678043Z"
|
"shell.execute_reply": "2025-04-03T19:34:21.413192Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -4409,10 +4409,10 @@
|
|||||||
"id": "90d617e0",
|
"id": "90d617e0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:04.684581Z",
|
"iopub.execute_input": "2025-04-03T19:34:21.418594Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:04.684302Z",
|
"iopub.status.busy": "2025-04-03T19:34:21.418042Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:05.125639Z",
|
"iopub.status.idle": "2025-04-03T19:34:21.608174Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:05.125298Z"
|
"shell.execute_reply": "2025-04-03T19:34:21.606156Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -4579,7 +4579,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -4622,8 +4622,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -4635,7 +4635,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
@@ -1,3 +1,16 @@
|
|||||||
|
---
|
||||||
|
jupyter:
|
||||||
|
jupytext:
|
||||||
|
cell_metadata_filter: -all
|
||||||
|
formats: ipynb,Rmd
|
||||||
|
main_language: python
|
||||||
|
text_representation:
|
||||||
|
extension: .Rmd
|
||||||
|
format_name: rmarkdown
|
||||||
|
format_version: '1.2'
|
||||||
|
jupytext_version: 1.16.7
|
||||||
|
---
|
||||||
|
|
||||||
# Multiple Testing
|
# Multiple Testing
|
||||||
|
|
||||||
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch13-multiple-lab.ipynb">
|
<a target="_blank" href="https://colab.research.google.com/github/intro-stat-learning/ISLP_labs/blob/v2.2/Ch13-multiple-lab.ipynb">
|
||||||
|
|||||||
+132
-132
@@ -31,10 +31,10 @@
|
|||||||
"id": "bd52a066",
|
"id": "bd52a066",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:06.119783Z",
|
"iopub.execute_input": "2025-04-03T19:32:52.301476Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:06.119425Z",
|
"iopub.status.busy": "2025-04-03T19:32:52.301112Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:06.998312Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.091465Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:06.998023Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.091001Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -61,10 +61,10 @@
|
|||||||
"id": "90117cbf",
|
"id": "90117cbf",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:06.999889Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.093032Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:06.999773Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.092903Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.001596Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.094748Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.001373Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.094563Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -100,10 +100,10 @@
|
|||||||
"id": "db60f055",
|
"id": "db60f055",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.002832Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.095939Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.002760Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.095871Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.004664Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.097801Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.004449Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.097556Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -130,10 +130,10 @@
|
|||||||
"id": "2f769e32",
|
"id": "2f769e32",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.005916Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.098889Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.005847Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.098816Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.009111Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.101990Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.008893Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.101797Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -177,10 +177,10 @@
|
|||||||
"id": "662e8a87",
|
"id": "662e8a87",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.010301Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.103079Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.010222Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.103010Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.026475Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.121558Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.026253Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.121347Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -213,10 +213,10 @@
|
|||||||
"id": "b25f9969",
|
"id": "b25f9969",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.027636Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.122771Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.027567Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.122702Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.034757Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.129771Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.034523Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.129510Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -314,10 +314,10 @@
|
|||||||
"id": "4c158b0b",
|
"id": "4c158b0b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.036106Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.130993Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.036002Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.130922Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.060212Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.151941Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.059960Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.151731Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -426,16 +426,16 @@
|
|||||||
"id": "093264ed",
|
"id": "093264ed",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.061515Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.153230Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.061433Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.153148Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.311200Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.319180Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.310542Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.318528Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -482,10 +482,10 @@
|
|||||||
"id": "1a3ac106",
|
"id": "1a3ac106",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.314351Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.323056Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.313832Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.322678Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.344704Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.356260Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.344468Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.355323Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -550,10 +550,10 @@
|
|||||||
"id": "b9f1eac7",
|
"id": "b9f1eac7",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.346038Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.359943Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.345960Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.359613Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.347883Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.367392Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.347675Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.366785Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -589,10 +589,10 @@
|
|||||||
"id": "0cee9c30",
|
"id": "0cee9c30",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.349050Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.370653Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.348979Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.370309Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.351013Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.377086Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.350820Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.376491Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -631,10 +631,10 @@
|
|||||||
"id": "1f7cee90",
|
"id": "1f7cee90",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.352174Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.381069Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.352109Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.380804Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.381192Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.429473Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.380965Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.428127Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -671,10 +671,10 @@
|
|||||||
"id": "59cdfe23",
|
"id": "59cdfe23",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.382469Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.432686Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.382398Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.432364Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.384782Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.435417Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.384577Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.435162Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -715,10 +715,10 @@
|
|||||||
"id": "bf01100e",
|
"id": "bf01100e",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.385897Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.436763Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.385834Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.436655Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.388040Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.439076Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.387835Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.438865Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -767,10 +767,10 @@
|
|||||||
"id": "60146e08",
|
"id": "60146e08",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.389205Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.440229Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.389140Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.440124Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.776782Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.833595Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.776519Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.833313Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -827,16 +827,16 @@
|
|||||||
"id": "2ec0aae4",
|
"id": "2ec0aae4",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.778173Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.834950Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.778094Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.834875Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:07.836461Z",
|
"iopub.status.idle": "2025-04-03T19:32:53.877086Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:07.836186Z"
|
"shell.execute_reply": "2025-04-03T19:32:53.876823Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAy0AAAIQCAYAAACMg4HBAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAMv9JREFUeJzt3QeYnVWBP/4TggZNSBAUCSQQxIKA2AtqopGiggpELMAquFgXBMSK+6yKLVhWk7UglgXXhoqAuxhALJBYUIq4iBUNC4lBESWBqIFfcv/P993/nb0zzCQzyczcMzOfz/PcTOadW85b7nvP9z3lTmq1Wq0CAABQqa26XQAAAICNEVoAAICqCS0AAEDVhBYAAKBqQgsAAFA1oQUAAKia0AIAAFRNaAEAAKomtAAAAFUTWmCcecc73lEmTZo0qPueffbZzX1vvPHGIb/OZZdd1jw2Pxk+T3/605sbDOV9243jZkvOH0N15513lh133LF84QtfGLH1uOqqq8poue2228rUqVPLkiVLRu01YawTWmAUtT8cc/ve9753j7+3Wq0ye/bs5u/Pec5zhu113/ve95YLLrigjAVr1qwpp512WnnkIx9Zpk2bVu5zn/uUffbZp7z5zW8uv//977tdPDYhFef2MZ7bve9977L77ruXV77yleXmm2/erOfMfk8Yv/baa8tE8IQnPKHZdmecccawP/ecOXN67Z8Egblz55bzzz+/1Gzx4sVl2223LS9+8YubkNS5Dhu7jUag2hw77LBDefnLX17+5V/+pdtFgTFj624XACaibbbZpnzxi18sT33qU3stv/zyy8uKFSvKlClThvX1ElqOOOKIcthhh/Va/pKXvKSpBAz3622u3/3ud+WAAw4oN910U3nBC17QVHRT6f3v//7v8pnPfKapWP36178u49k3v/nNMtbNmjWrLFy4sPn/XXfdVX7+85+XT3ziE+WSSy4pv/jFL8p973vfIYeWBNlUuB/1qEeV8ew3v/lNufLKK5t1TavCa17zmmF/jWzD17/+9T3b9swzzywLFixoQtKrX/3qQT/PaJ0/7r777ia0vO51ryuTJ08uD3jAA8rnPve5Xvf513/91+bc+eEPf7jX8ty3VtnW//Zv/1a+853vlGc84xndLg5UT2iBLjj44IPLV7/61eYDa+ut/+9tmCDz2Mc+tvzpT38alXKkApBbDf7f//t/TcXpD3/4Q9PlrG+ge8973lPe9773lfHqr3/9a1OZT0gb62bMmFH+4R/+odeytLaccMIJ5fvf/3458MADu1a22n3+859vWj9SCc+FhrQUJMAMp1122aXX/nnpS19aHvzgBzcV/qGElsGcP9J6/Pe//71pMd1cF154Ybn11lvLC1/4wub3dKvqe3ydc8455S9/+cs9ltfs4Q9/eNOKnBZ4oQU2Tfcw6IIjjzyy6dN86aWX9izLFelzzz23HHXUUYMeP9LuJpEPvYHk72vXri2f/exne7pMHHvssQP2SU8FKV3TcsU/V2TTKrTXXnuV8847b1Dr9qMf/ag861nPaiquqYQ/7WlPayqqm/K1r32t/PSnPy3//M//fI/AEtOnT2+CS6cEv4S8VIjuf//7NxWWlStX9rpP1jXdzNJ6k/XK/1Np+9jHPtb8/brrrmsqDKkI7bbbbk1w7NTeRkuXLi2vetWrmm4dKUsqeqkkdfr6179eDjnkkLLzzjs3V5/32GOP8q53vausX7/+Hl2oUlm5+uqry7x585rt9Na3vnXAsQkf+chHyt57793c7373u1953OMed49y/uQnPynPfvazm7JlHffff/9yxRVX9Lsu2R+nnHJKcxU663344Yc3lcJO6d//zGc+s9mu2b4JHf/4j/9YNtdOO+3U/OwM6ZH9led94AMf2GyzrOe///u/9/w9x/zjH//45v8ve9nLeo7hrEtCfyrNt99+e8/9U9nP37N+bdn+6VqULoZtGzZsKIsWLWpeL8d4Xj/7t+8+jYsuuqjpQpVtlefJPr7++uv7Pc6yPmnRzP+zfd/whjfcY/9vTPZrwkqO1byH+u7nkZB9kwr08uXLm9/Tspn1edCDHtRsm/w9+yjnrE4bO3+kVS3HaY6dtOREznd5b2+33XbN9nnYwx7Wc9xvTLq25nnzfhqKlC3dCvvKc7XPgQPJcZBuemk1/NWvftUsW7duXXn729/eBLwcq+nK+6Y3valZ3pbzXbq29ifrm/dUpwT4//qv/2rCHbBxQgt0QT4099tvv/KlL32pV8Vo9erVTXeL4ZRuFPmATaUr/88tlbNNdVF50Yte1FSC080nFc101+oMWf1JN4dUwjMuJR/u6ZaWCmVCwY9//OONPvY///M/e7qcDEYqTLnymkpryviKV7yiCVapFHVWYiOVxqxLKhnvf//7m+2fq/55jgSsVK7SipMKacJIu/LWKfdP16ZUgnKfdN1J5bSzspHnS2UsFeZ0Z0mgetvb3lbe8pa33OP5UgFMmRIMU3meP39+v+v5qU99qpx44olNcMz90k0qj0k4bEsFOvs3oS+VqPSTzzok/HTer+21r31tc9/so3Q/SqUp69f2xz/+sRx00EFNZTRlT2g6+uij7xGCBpLtndbC3FatWtUcF+3K3lOe8pSe+6VV7UlPelL51re+1bx+tlnuc9xxxzXrGqlMv/Od72z+n+6C7WM4x1nWOeGjc3zYsmXLylZbbdX87Ax0Gcidx7TlPfDGN76xKU9eN4Eo+zSVynRHastrJaRkv+YYybZNd7ccZ33HS2S98/gE2w9+8INNBTYh6pOf/OSgtlv21Q033NBc1EiLW1oeR2LgeV9Z34w3Srkj7/N01cw2yb7POSktGWkhHkzlOpX8rEMq5Nm2OV5zjCbMpIKf/Znt8rznPW9QFzR+8IMflMc85jFltOS4zTkrx2e67CZs5DhLebNfn/vc5zbbJe//tE7lXNmW81dC389+9rNez5kuf+na2rclKOeInK/6hmCgHy1g1Jx11ln5xG9deeWVrY9+9KOtbbfdtvXXv/61+dsLXvCC1vz585v/77bbbq1DDjmk53Hf/e53m8flZ6fly5c3y/O8bW9/+9ubZZ2mTp3aOuaYYwYsT56nLa+dZV/72td6lq1evbo1c+bM1qMf/egBy7Rhw4bWQx7ykNYzn/nM5v9tWb/dd9+9deCBB2502+S5Z8yY0RqMu+66q7Xjjju29tlnn9bf/va3nuUXXnhhU6a3ve1tPcuy3ln23ve+t2fZX/7yl9Z97nOf1qRJk1rnnHNOz/Jf/vKXzX2zDftuo8c+9rHN67a9//3vb5Z//etf77Wufb3qVa9q3fe+9239/e9/71n2tKc9rXnsJz7xiXvcP3/Lre3QQw9t7b333hvdHocddljr3ve+d+u3v/1tz7Lf//73zfE1b968e6zLAQcc0Gsfve51r2tNnjy5dfvttze/n3/++T3H6VC1163v7eEPf3jrd7/7Xa/7Hnfccc1x9ac//anX8he/+MXNsdDenilH3+M81q9f35o+fXrrTW96U/N71mmHHXZo3ktZnzvuuKNZ/qEPfai11VZbNfs9li1b1jzfF77whV7Pd/HFF/dansdvt912rVe84hW97nfLLbc05etc3j7O3vnOd97juM6xMxgnnHBCa/bs2T375pvf/GbznD/5yU82+b7te9wMJO/vgw46qHXrrbc2t5/+9KfN9s7zvfa1rx3wOP7Sl77U3Gfp0qWDOn9kW3b68Ic/3CzPaw7F3Xff3bxPX//612/0fjlf5rU79X0vd5ax83zYeV5etWpV83570IMe1Lrxxht77vO5z32uOYZy7HTKeziP/f73v9/8nvfQNtts03rzm9/c634nnnhicx6+8847ey3/wQ9+0Dz+y1/+8qC2B0xkWlqgS9JK8Le//a3pr33HHXc0P/vrGtYN6d6ULkNt7e5QuWJ9yy239PuYzOyUFpqsQ1oR2lfa0zUtXZXSvSpXKweS1pm0dAxGui6lNeCf/umfmu4rbbkivueee5ZvfOMb93hMZuppS/eUXD1Nd592P/nIsvwtV5n7ylX+e93rXj2/p4UiLVCdU5Z29tvPPs36pzUg41V++ctf9nq+tH7lSvampDwZYJwrtf3J1f105ctV33TnaZs5c2azL9IKkW3bd106p8VOGfM8//M//9PzmpFjsrPVYbDSkpWr9bmlBTGtJmlFTMtSuxta6pTpEpir1vl/+3jJLa0Vuf8111yz0ddJi8qTn/zk5tiKtITl2EvrUJ7zhz/8YbM8rS7pjtder3QrTNertAR0vm6ueqdF5bvf/W5zv5Q/V8HTatB5v7TuPfGJT+y5X6e+Y0Kybfs7nvob0/XlL3+5uWrf3je52j8S0/zmeEnXtdzSlSnbIy0E7TFjncdxxqNkndMiFpvaJ5GuhH27QbW3fbpQbuw80Nef//znZl+mW+RIy/ssrWM55nNMpbtoW7ZRWv1yfuk8FtpjUdrHQo6rQw89tGlFb7dK5b2VfZv3aM45ndrrNVrjGGEsE1qgS1JhyExZ6bOebk35YEtf9hqki07f73p56EMf2vwcaArRBJY45phjeipE7dunP/3ppltIKqIDSTBKRX8w2pXrhIy+Uqlo/70twabvLEKpXKS/et/1zPL+xjU85CEP6fV7KrcJBp3bI108EvbyHFmfvGa7O0jfdc+4msEMus84jLxW+tenDMcff3yvLjUJAQlF/W2LVLJSQew71fCuu+7ab8Wpvd6puD3/+c9vuqJlTEsqYWeddVavvvsbk4pZju3c0v3upJNOarr/pdvQ6aef3lPuBIJ0nep7vLTDXILppiQUZGxQLgAknGSfpCtRKuPtLmIJbrlf57Ga/ZFA0Pe1042s/brtYzoV0773S8W/b/n6O86ybfs7nvrK82WbZD+ni1hu6eKXboOpAA+lor8pCVwJZOmWl65XqTD/x3/8R09YSVDIPss4nyzLOiWIxMbew23t+3ZLine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1000x600 with 1 Axes>"
|
"<Figure size 1000x600 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -868,10 +868,10 @@
|
|||||||
"id": "1de94dbc",
|
"id": "1de94dbc",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:07.837958Z",
|
"iopub.execute_input": "2025-04-03T19:32:53.878355Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:07.837840Z",
|
"iopub.status.busy": "2025-04-03T19:32:53.878280Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.163274Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.189626Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.162972Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.189218Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -897,10 +897,10 @@
|
|||||||
"id": "b0aa032c",
|
"id": "b0aa032c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.164892Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.191140Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.164804Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.191057Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.167176Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.193550Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.166950Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.193343Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -942,10 +942,10 @@
|
|||||||
"id": "ba6dcb50",
|
"id": "ba6dcb50",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.168349Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.194685Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.168282Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.194612Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.170285Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.196704Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.170079Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.196500Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
@@ -986,10 +986,10 @@
|
|||||||
"id": "44c1b26a",
|
"id": "44c1b26a",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.171469Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.197806Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.171399Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.197720Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.173322Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.199706Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.173118Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.199496Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1036,10 +1036,10 @@
|
|||||||
"id": "f23a1f9f",
|
"id": "f23a1f9f",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.174454Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.200867Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.174389Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.200798Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.176567Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.203144Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.176360Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.202843Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1070,17 +1070,17 @@
|
|||||||
"id": "3c3018cc",
|
"id": "3c3018cc",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.177790Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.204649Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.177725Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.204557Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.323352Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.353161Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.323097Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.352863Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1120,10 +1120,10 @@
|
|||||||
"id": "d49b3de7",
|
"id": "d49b3de7",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.324883Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.354663Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.324753Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.354563Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.369825Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.405469Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.369575Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.405244Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1172,10 +1172,10 @@
|
|||||||
"id": "18eaeb65",
|
"id": "18eaeb65",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.371125Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.406764Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.371048Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.406668Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:08.374282Z",
|
"iopub.status.idle": "2025-04-03T19:32:54.410015Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:08.374049Z"
|
"shell.execute_reply": "2025-04-03T19:32:54.409790Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1225,10 +1225,10 @@
|
|||||||
"id": "8e2f821c",
|
"id": "8e2f821c",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:08.375701Z",
|
"iopub.execute_input": "2025-04-03T19:32:54.411194Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:08.375620Z",
|
"iopub.status.busy": "2025-04-03T19:32:54.411115Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:10.082601Z",
|
"iopub.status.idle": "2025-04-03T19:32:56.102203Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:10.082342Z"
|
"shell.execute_reply": "2025-04-03T19:32:56.101891Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 2
|
"lines_to_next_cell": 2
|
||||||
},
|
},
|
||||||
@@ -1276,17 +1276,17 @@
|
|||||||
"id": "f10d3bf0",
|
"id": "f10d3bf0",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:10.084069Z",
|
"iopub.execute_input": "2025-04-03T19:32:56.103547Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:10.083976Z",
|
"iopub.status.busy": "2025-04-03T19:32:56.103471Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:20:10.194167Z",
|
"iopub.status.idle": "2025-04-03T19:32:56.242320Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:20:10.193945Z"
|
"shell.execute_reply": "2025-04-03T19:32:56.242062Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 800x800 with 1 Axes>"
|
"<Figure size 800x800 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1336,10 +1336,10 @@
|
|||||||
"id": "d37287ae",
|
"id": "d37287ae",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:20:10.195499Z",
|
"iopub.execute_input": "2025-04-03T19:32:56.243677Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:20:10.195421Z",
|
"iopub.status.busy": "2025-04-03T19:32:56.243581Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:22:59.020789Z",
|
"iopub.status.idle": "2025-04-03T19:35:57.109614Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:22:59.020469Z"
|
"shell.execute_reply": "2025-04-03T19:35:57.109250Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1382,10 +1382,10 @@
|
|||||||
"id": "ecaf03eb",
|
"id": "ecaf03eb",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:22:59.022409Z",
|
"iopub.execute_input": "2025-04-03T19:35:57.111340Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:22:59.022324Z",
|
"iopub.status.busy": "2025-04-03T19:35:57.111258Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:22:59.099406Z",
|
"iopub.status.idle": "2025-04-03T19:35:57.218314Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:22:59.099145Z"
|
"shell.execute_reply": "2025-04-03T19:35:57.218027Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
@@ -1423,10 +1423,10 @@
|
|||||||
"id": "ceacd8b8",
|
"id": "ceacd8b8",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:22:59.100800Z",
|
"iopub.execute_input": "2025-04-03T19:35:57.219806Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:22:59.100726Z",
|
"iopub.status.busy": "2025-04-03T19:35:57.219728Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:22:59.102948Z",
|
"iopub.status.idle": "2025-04-03T19:35:57.222043Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:22:59.102723Z"
|
"shell.execute_reply": "2025-04-03T19:35:57.221848Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1478,10 +1478,10 @@
|
|||||||
"id": "2434f370",
|
"id": "2434f370",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:22:59.104184Z",
|
"iopub.execute_input": "2025-04-03T19:35:57.223240Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:22:59.104114Z",
|
"iopub.status.busy": "2025-04-03T19:35:57.223171Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:22:59.106202Z",
|
"iopub.status.idle": "2025-04-03T19:35:57.225253Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:22:59.105984Z"
|
"shell.execute_reply": "2025-04-03T19:35:57.225057Z"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
@@ -1546,17 +1546,17 @@
|
|||||||
"id": "34d6a02b",
|
"id": "34d6a02b",
|
||||||
"metadata": {
|
"metadata": {
|
||||||
"execution": {
|
"execution": {
|
||||||
"iopub.execute_input": "2024-06-04T23:22:59.107343Z",
|
"iopub.execute_input": "2025-04-03T19:35:57.226335Z",
|
||||||
"iopub.status.busy": "2024-06-04T23:22:59.107277Z",
|
"iopub.status.busy": "2025-04-03T19:35:57.226270Z",
|
||||||
"iopub.status.idle": "2024-06-04T23:22:59.196949Z",
|
"iopub.status.idle": "2025-04-03T19:35:57.263024Z",
|
||||||
"shell.execute_reply": "2024-06-04T23:22:59.196706Z"
|
"shell.execute_reply": "2025-04-03T19:35:57.262794Z"
|
||||||
},
|
},
|
||||||
"lines_to_next_cell": 0
|
"lines_to_next_cell": 0
|
||||||
},
|
},
|
||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1584,8 +1584,8 @@
|
|||||||
"metadata": {
|
"metadata": {
|
||||||
"jupytext": {
|
"jupytext": {
|
||||||
"cell_metadata_filter": "-all",
|
"cell_metadata_filter": "-all",
|
||||||
"main_language": "python",
|
"formats": "ipynb,Rmd",
|
||||||
"notebook_metadata_filter": "-all"
|
"main_language": "python"
|
||||||
},
|
},
|
||||||
"language_info": {
|
"language_info": {
|
||||||
"codemirror_mode": {
|
"codemirror_mode": {
|
||||||
@@ -1597,7 +1597,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.12.3"
|
"version": "3.11.11"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
Reference in new issue
Block a user