Fixed plot of weight gitub #305
This commit is contained in:
Roger Labbe committed
1 parent
5aacb93b57
commit
b2898f2299
1 file changed
+26
-22
+26
-22
@@ -245,7 +245,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Average of measurements is 164.9852\n"
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"Average of measurements is 165.0148\n"
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]
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}
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],
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@@ -276,7 +276,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Average of measurements is 165.0120\n"
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"Average of measurements is 164.9823\n"
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]
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}
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],
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@@ -642,7 +642,7 @@
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"image/png": "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 truncated
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"text/plain": [
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"<Figure size 1000x400 with 1 Axes>"
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]
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@@ -654,7 +654,7 @@
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"source": [
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"# plot results\n",
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"book_plots.set_figsize(10)\n",
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"gh.plot_gh_results(weights, estimates, predictions, [160, 173])"
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"gh.plot_gh_results(weights, estimates, predictions, [160, 172])"
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]
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},
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{
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@@ -679,7 +679,7 @@
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"outputs": [
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{
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"data": {
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||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1000x400 with 1 Axes>"
|
||||
]
|
||||
@@ -690,7 +690,7 @@
|
||||
],
|
||||
"source": [
|
||||
"e, p = predict_using_gain_guess(initial_estimate, -1.)\n",
|
||||
"gh.plot_gh_results(weights, e, p, [160, 173])"
|
||||
"gh.plot_gh_results(weights, e, p, [160, 172])"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -724,7 +724,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1000x400 with 1 Axes>"
|
||||
]
|
||||
@@ -757,7 +757,7 @@
|
||||
" \n",
|
||||
" estimates.append(weight)\n",
|
||||
"\n",
|
||||
"gh.plot_gh_results(weights, estimates, predictions, [160, 173])"
|
||||
"gh.plot_gh_results(weights, estimates, predictions, [160, 172])"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1057,7 +1057,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
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||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1000x400 with 1 Axes>"
|
||||
]
|
||||
@@ -1094,7 +1094,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1000x400 with 1 Axes>"
|
||||
]
|
||||
@@ -1148,7 +1148,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1000x400 with 1 Axes>"
|
||||
]
|
||||
@@ -1211,7 +1211,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 1000x400 with 1 Axes>"
|
||||
]
|
||||
@@ -1532,9 +1532,13 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "d30928964c1446b1a669d25959ed0b49",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"<Figure size 1000x400 with 1 Axes>"
|
||||
"interactive(children=(FloatSlider(value=0.0, continuous_update=False, description='x', max=200.0, min=-200.0),…"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2371,7 +2375,7 @@
|
||||
"disabled": false,
|
||||
"layout": "IPY_MODEL_783a2cb24eb74c20ba57d15fc1e98c85",
|
||||
"max": 0.5,
|
||||
"min": 0.0,
|
||||
"min": 0,
|
||||
"orientation": "horizontal",
|
||||
"readout": true,
|
||||
"readout_format": ".2f",
|
||||
@@ -2398,14 +2402,14 @@
|
||||
"description_tooltip": null,
|
||||
"disabled": false,
|
||||
"layout": "IPY_MODEL_79f1d6254838491f838fb1a3cb695c21",
|
||||
"max": 200.0,
|
||||
"min": -200.0,
|
||||
"max": 200,
|
||||
"min": -200,
|
||||
"orientation": "horizontal",
|
||||
"readout": true,
|
||||
"readout_format": ".2f",
|
||||
"step": 0.1,
|
||||
"style": "IPY_MODEL_1acb454f11d446f5a5120621e72a9c76",
|
||||
"value": 0.0
|
||||
"value": 0
|
||||
}
|
||||
},
|
||||
"6c59aa5c715e4bcb9f5effb09f84d944": {
|
||||
@@ -2562,14 +2566,14 @@
|
||||
"description_tooltip": null,
|
||||
"disabled": false,
|
||||
"layout": "IPY_MODEL_46e8517a03cc469ba33d9adbc0ba5b42",
|
||||
"max": 50.0,
|
||||
"min": -50.0,
|
||||
"max": 50,
|
||||
"min": -50,
|
||||
"orientation": "horizontal",
|
||||
"readout": true,
|
||||
"readout_format": ".2f",
|
||||
"step": 0.1,
|
||||
"style": "IPY_MODEL_92cc136b707c4166bf3a09ab06222a28",
|
||||
"value": 5.0
|
||||
"value": 5
|
||||
}
|
||||
},
|
||||
"92cc136b707c4166bf3a09ab06222a28": {
|
||||
@@ -2658,7 +2662,7 @@
|
||||
"description_tooltip": null,
|
||||
"disabled": false,
|
||||
"layout": "IPY_MODEL_38a69b1a1ddd44608d02d1f273b012f5",
|
||||
"max": 2.0,
|
||||
"max": 2,
|
||||
"min": 0.01,
|
||||
"orientation": "horizontal",
|
||||
"readout": true,
|
||||
|
||||
Reference in new issue
Block a user