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pairing notebooks

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Jonathan Taylor
2023-08-20 19:41:01 -07:00
parent c82e9d5067
commit 058e89ef1c
22 changed files with 489 additions and 346 deletions
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17
Ch02-statlearn-lab.Rmd
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---
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: 1.14.7
---
# Chapter 2
@@ -65,7 +78,7 @@ print('fit a model with', 11, 'variables')
The following command will provide information about the `print()` function.
```{python}
print?
# print?
```
@@ -215,7 +228,7 @@ documentation associated with the function `fun`, if it exists.
We can try this for `np.array()`.
```{python}
np.array?
# np.array?
```
This documentation indicates that we could create a floating point array by passing a `dtype` argument into `np.array()`.

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Ch02-statlearn-lab.ipynb
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"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch03-linreg-lab.Rmd
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---
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: 1.14.7
---
# Chapter 3

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Ch03-linreg-lab.ipynb
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"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch04-classification-lab.Rmd
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---
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: 1.14.7
---
# Chapter 4

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Ch04-classification-lab.ipynb
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"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

13
Ch05-resample-lab.Rmd
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---
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: 1.14.7
---
# Chapter 5

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Ch05-resample-lab.ipynb
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@@ -1279,8 +1279,8 @@
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch06-varselect-lab.Rmd
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---
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: 1.14.7
---
# Chapter 6
@@ -32,7 +45,7 @@ from ISLP.models import \
(Stepwise,
sklearn_selected,
sklearn_selection_path)
!pip install l0bnb
# !pip install l0bnb
from l0bnb import fit_path
```

4
Ch06-varselect-lab.ipynb
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@@ -9815,8 +9815,8 @@
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch07-nonlin-lab.Rmd
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---
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: 1.14.7
---
# Chapter 7

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Ch07-nonlin-lab.ipynb
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@@ -3222,8 +3222,8 @@
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

13
Ch08-baggboost-lab.Rmd
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---
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: 1.14.7
---
# Chapter 8

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Ch08-baggboost-lab.ipynb
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"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch09-svm-lab.Rmd
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---
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: 1.14.7
---
# Chapter 9

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Ch09-svm-lab.ipynb
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@@ -1900,8 +1900,8 @@
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch11-surv-lab.Rmd
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---
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: 1.14.7
---
# Chapter 11

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Ch11-surv-lab.ipynb
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"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch12-unsup-lab.Rmd
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---
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: 1.14.7
---
# Chapter 12
@@ -207,7 +220,7 @@ We can plot the PVE explained by each component, as well as the cumulative PVE.
plot the proportion of variance explained.
```{python}
%%capture
# %%capture
fig, axes = plt.subplots(1, 2, figsize=(15, 6))
ticks = np.arange(pcaUS.n_components_)+1
ax = axes[0]

4
Ch12-unsup-lab.ipynb
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@@ -3392,8 +3392,8 @@
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {

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Ch13-multiple-lab.Rmd
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@@ -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: 1.14.7
---
# Chapter 13

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Ch13-multiple-lab.ipynb
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@@ -1578,8 +1578,8 @@
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
"formats": "ipynb,Rmd",
"main_language": "python"
},
"language_info": {
"codemirror_mode": {