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Updated churn notebook
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‎examples/tabular-classification/churn-classifier/churn-classifier-sklearn.ipynb‎

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"{'Gender': ['Female', 'Male'], 'Geography': ['France', 'Spain', 'Germany']}"
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"categorical_map = {feature: list(X[feature].unique()) for feature in [\"Gender\", \"Geography\"]}\n",
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"categorical_map"
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"encoding Gender\n"
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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" warnings.warn(msg, category=FutureWarning)\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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"encoding Geography\n",
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"encoding Gender\n"
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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" warnings.warn(msg, category=FutureWarning)\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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" warnings.warn(msg, category=FutureWarning)\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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" warnings.warn(msg, category=FutureWarning)\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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" warnings.warn(msg, category=FutureWarning)\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/base.py:450: UserWarning: X does not have valid feature names, but LogisticRegression was fitted with feature names\n",
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'classNameCounts': None,\n",
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" 'classNames': ['Retained', 'Exited'],\n",
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" 'columnNames': None,\n",
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" 'columnSettings': None,\n",
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" 'dateCreated': '2022-07-06T21:07:36.320577Z',\n",
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" 'description': 'this is my churn dataset',\n",
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" 'featureNames': ['CreditScore',\n",
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" 'Geography',\n",
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" 'Gender',\n",
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" 'Age',\n",
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" 'Tenure',\n",
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" 'Balance',\n",
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" 'NumOfProducts',\n",
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" 'HasCrCard',\n",
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" 'IsActiveMember',\n",
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" 'EstimatedSalary'],\n",
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" 'id': '4b4e4370-7766-4b42-a467-508ffbec219b',\n",
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" 'inProgressNotifications': ['dataset_4b4e4370-7766-4b42-a467-508ffbec219b_process_uploaded_dataset'],\n",
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" 'labelColumnIndex': None,\n",
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" 'language': 'en',\n",
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" 'name': 'Churn Validation',\n",
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" 'projects': [],\n",
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" 'tagCount': 0,\n",
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" 'taskType': 'tabular-classification'}"
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from unboxapi.tasks import TaskType\n",
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"\n",
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" description='this is my churn dataset',\n",
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" task_type=TaskType.TabularClassification,\n",
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" feature_names=feature_names,\n",
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" categorical_features_map=categorical_map,\n",
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" categorical_feature_names=[\"Gender\", \"Geography\"],\n",
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"dataset.to_dict()"
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Bundling model and artifacts...\n",
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"Uploading model to Unbox...\n"
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]
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},
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{
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"data": {
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" 'dateCreated': '2022-07-06T21:07:38.167799Z',\n",
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" 'description': 'this is my churn classification model',\n",
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" 'featureNames': ['CreditScore',\n",
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" 'Geography',\n",
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" 'Gender',\n",
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" 'Age',\n",
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" 'Tenure',\n",
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" 'Balance',\n",
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" 'NumOfProducts',\n",
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" 'HasCrCard',\n",
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" 'IsActiveMember',\n",
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" 'EstimatedSalary'],\n",
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" 'featureSettings': None,\n",
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" 'id': 'f5785966-6df1-43a5-8721-ac81a2682e06',\n",
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" 'inProgressNotifications': ['model_f5785966-6df1-43a5-8721-ac81a2682e06_process_uploaded_model'],\n",
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" 'inferenceRunCount': 0,\n",
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" 'modelApi': None,\n",
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" 'name': 'Churn Classifier',\n",
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" 'projects': [],\n",
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" 'runReportCount': 0,\n",
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" 'taskType': 'tabular-classification',\n",
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" 'type': 'sklearn'}"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"model = client.add_model(\n",
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" function=predict_proba, \n",
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" categorical_feature_names=[\"Gender\", \"Geography\"],\n",
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" one_hot_encoder=data_encode_one_hot,\n",
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" encoders=encoders,\n",
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},
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{
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"execution_count": null,
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"id": "74cae32f",
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"source": []
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"name": "python",
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"nbconvert_exporter": "python",
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"version": "3.8.10"
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"version": "3.8.13"
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