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fix: Corrected the improper call to np.bool in neural network code #4

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fix: Corrected the improper call to np.bool in neural network code #4

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38 changes: 19 additions & 19 deletions 04_07_begin.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -91,15 +91,15 @@
},
{
"cell_type": "code",
"source": [
"# Pandas info() function is used to get a concise summary of the dataframe.\n",
"advertising_df.info()"
],
"execution_count": null,
"metadata": {
"id": "jREeqEBUcl9j"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": [
"# Pandas info() function is used to get a concise summary of the dataframe.\n",
"advertising_df.info()"
]
},
{
"cell_type": "code",
Expand Down Expand Up @@ -191,14 +191,14 @@
},
{
"cell_type": "code",
"source": [
"advertising_df.corr()"
],
"execution_count": null,
"metadata": {
"id": "X1tn4RQYA7o-"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": [
"advertising_df.corr()"
]
},
{
"cell_type": "code",
Expand All @@ -211,7 +211,7 @@
"### Visualize Correlation\n",
"\n",
"# Generate a mask for the upper triangle\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n",
"mask[np.triu_indices_from(mask)] = True\n",
"\n",
"# Set up the matplotlib figure\n",
Expand Down Expand Up @@ -455,15 +455,15 @@
},
{
"cell_type": "code",
"source": [
"## Plot a graph of model loss # show the graph of model loss in trainig and validation\n",
"\n"
],
"execution_count": null,
"metadata": {
"id": "Im0kQux_jJhI"
},
"execution_count": null,
"outputs": []
"outputs": [],
"source": [
"## Plot a graph of model loss # show the graph of model loss in trainig and validation\n",
"\n"
]
}
],
"metadata": {
Expand Down Expand Up @@ -496,4 +496,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
2 changes: 1 addition & 1 deletion 04_07_end.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -220,7 +220,7 @@
"### Visualize Correlation\n",
"\n",
"# Generate a mask for the upper triangle\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n",
"mask[np.triu_indices_from(mask)] = True\n",
"\n",
"# Set up the matplotlib figure\n",
Expand Down
4 changes: 2 additions & 2 deletions 04_07_extras.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -1193,7 +1193,7 @@
"text": [
"<ipython-input-13-6c77a4103e7b>:4: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n",
"Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
" mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n"
" mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n"
]
},
{
Expand Down Expand Up @@ -1221,7 +1221,7 @@
"### Visualize Correlation\n",
"\n",
"# Generate a mask for the upper triangle\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n",
"mask[np.triu_indices_from(mask)] = True\n",
"\n",
"# Set up the matplotlib figure\n",
Expand Down
2 changes: 1 addition & 1 deletion 05_06_begin.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -212,7 +212,7 @@
"### Visualize Correlation\n",
"\n",
"# Generate a mask for the upper triangle\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n",
"mask[np.triu_indices_from(mask)] = True\n",
"\n",
"# Set up the matplotlib figure\n",
Expand Down
4 changes: 2 additions & 2 deletions 05_06_extras.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -831,7 +831,7 @@
"text": [
"<ipython-input-11-6c77a4103e7b>:4: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n",
"Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
" mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n"
" mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n"
]
},
{
Expand Down Expand Up @@ -859,7 +859,7 @@
"### Visualize Correlation\n",
"\n",
"# Generate a mask for the upper triangle\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n",
"mask[np.triu_indices_from(mask)] = True\n",
"\n",
"# Set up the matplotlib figure\n",
Expand Down
4 changes: 2 additions & 2 deletions predict_sales.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -958,7 +958,7 @@
"text": [
"<ipython-input-10-6c77a4103e7b>:4: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n",
"Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
" mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n"
" mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n"
]
},
{
Expand Down Expand Up @@ -986,7 +986,7 @@
"### Visualize Correlation\n",
"\n",
"# Generate a mask for the upper triangle\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool)\n",
"mask = np.zeros_like(advertising_df.corr(), dtype=np.bool_)\n",
"mask[np.triu_indices_from(mask)] = True\n",
"\n",
"# Set up the matplotlib figure\n",
Expand Down