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Improve definition of feature_names on the churn notebook to avoid problems when running the cell twice
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‎examples/tabular-classification/sklearn/churn-classifier/churn-classifier-sklearn.ipynb‎

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"LogisticRegression(random_state=1300)"
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"outputs": [
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{
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"text": [
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"Created your project. Navigate to http://localhost:8000/projects/1 to see it in the UI.\n"
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"Created your project. Navigate to http://staging.unbox.ai/projects/50 to see it in the UI.\n"
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},
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"/var/folders/9z/j3bd32nd47j_l0thnbj6vbnw0000gn/T/ipykernel_17091/2793504704.py:6: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame.\n",
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"Try using .loc[row_indexer,col_indexer] = value instead\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" x_val['churn'] = y_val.values\n",
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"/var/folders/9z/j3bd32nd47j_l0thnbj6vbnw0000gn/T/ipykernel_17091/2793504704.py:7: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame.\n",
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"Try using .loc[row_indexer,col_indexer] = value instead\n",
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"\n",
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"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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" x_train['churn'] = y_train.values\n"
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]
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"outputs": [],
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"source": [
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"# Some variables that will be used for the dataset upload\n",
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"class_names = [\"Retained\", \"Exited\"]\n",
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"feature_names = list(x_val.columns)\n",
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"\n",
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"# Add the ground truths to the ordinal dataset for Unbox\n",
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"x_val['churn'] = y_val.values\n",
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"x_train['churn'] = y_train.values"
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"# Add the ground truths to the original dataset for Unbox\n",
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"validation_set = x_val.copy()\n",
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"validation_set['churn'] = y_val.values\n",
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"training_set = x_train.copy()\n",
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"training_set['churn'] = y_train.values"
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"Adding your dataset to Unbox! Check out the project page to have a look.\n"
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"source": [
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"dataset = project.add_dataframe(\n",
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" df=x_val,\n",
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" df=validation_set,\n",
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" class_names=class_names,\n",
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" label_column_name='churn',\n",
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"Bundling model and artifacts...\n",
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"Bundling model and artifacts...\n"
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"/Users/gustavocid/Desktop/unbox-repos/unboxapi-python-client/unboxapi/api.py:125: ResourceWarning: unclosed <ssl.SSLSocket fd=83, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=0, laddr=('10.8.253.206', 53878), raddr=('108.156.83.110', 443)>\n",
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"/Users/gustavocid/Desktop/unbox-repos/unboxapi-python-client/unboxapi/api.py:129: ResourceWarning: unclosed <ssl.SSLSocket fd=83, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=0, laddr=('10.8.253.206', 53880), raddr=('108.156.83.110', 443)>\n",
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" name='Churn Classifier',\n",
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" commit_message='this is my churn classification model',\n",
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" feature_names=feature_names,\n",
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" train_sample_df=x_train[:3000],\n",
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" train_sample_df=training_set[:3000],\n",
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" train_sample_label_column_name='churn',\n",
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" categorical_feature_names=[\"Gender\", \"Geography\"],\n",
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" col_names=feature_names,\n",

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