{"cells":[{"cell_type":"markdown","source":["# Training machine learning models on tabular data: an end-to-end example\n\nThis tutorial covers the following steps:\n- Import data from your local machine into the Databricks File System (DBFS)\n- Visualize the data using Seaborn and matplotlib\n- Run a parallel hyperparameter sweep to train machine learning models on the dataset\n- Explore the results of the hyperparameter sweep with MLflow\n- Register the best performing model in MLflow\n- Apply the registered model to another dataset using a Spark UDF\n- Set up model serving for low-latency requests\n\nIn this example, you build a model to predict the quality of Portugese \"Vinho Verde\" wine based on the wine's physicochemical properties. \n\nThe example uses a dataset from the UCI Machine Learning Repository, presented in [*Modeling wine preferences by data mining from physicochemical properties*](https://www.sciencedirect.com/science/article/pii/S0167923609001377?via%3Dihub) [Cortez et al., 2009].\n\n## Requirements\nThis notebook requires Databricks Runtime for Machine Learning. \nIf you are using Databricks Runtime 7.3 LTS ML or below, you must update the CloudPickle library. To do that, uncomment and run the `%pip install` command in Cmd 2."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"f775ddb6-7daf-4f9f-99fa-7fc024351b47"}}},{"cell_type":"code","source":["# This command is only required if you are using a cluster running DBR 7.3 LTS ML or below. \n#%pip install --upgrade cloudpickle"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"3eab982e-0862-4138-b473-53bfc84bcf48"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Import data\n \nIn this section, you download a dataset from the web and upload it to Databricks File System (DBFS).\n\n1. Navigate to https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/ and download both `winequality-red.csv` and `winequality-white.csv` to your local machine.\n\n1. From this Databricks notebook, select *File* > *Upload Data*, and drag these files to the drag-and-drop target to upload them to the Databricks File System (DBFS). \n\n **Note**: if you don't have the *File* > *Upload Data* option, you can load the dataset from the Databricks example datasets. Uncomment and run the last two lines in the following cell.\n\n1. Click *Next*. Some auto-generated code to load the data appears. Select *pandas*, and copy the example code. \n\n1. Create a new cell, then paste in the sample code. It will look similar to the code shown in the following cell. Make these changes:\n - Pass `sep=';'` to `pd.read_csv`\n - Change the variable names from `df1` and `df2` to `white_wine` and `red_wine`, as shown in the following cell."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"366dccef-47e4-466b-af76-53e29ad99472"}}},{"cell_type":"code","source":["# If you have the File > Upload Data menu option, follow the instructions in the previous cell to upload the data from your local machine.\n# The generated code, including the required edits described in the previous cell, is shown here for reference.\n\nimport pandas as pd\n\n# In the following lines, replace with your username.\nwhite_wine = pd.read_csv(\"/dbfs/FileStore/shared_uploads//winequality_white.csv\", sep=';')\nred_wine = pd.read_csv(\"/dbfs/FileStore/shared_uploads//winequality_red.csv\", sep=';')\n\n# If you do not have the File > Upload Data menu option, uncomment and run these lines to load the dataset.\n\n#white_wine = pd.read_csv(\"/dbfs/databricks-datasets/wine-quality/winequality-white.csv\", sep=\";\")\n#red_wine = pd.read_csv(\"/dbfs/databricks-datasets/wine-quality/winequality-red.csv\", sep=\";\")"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"a1e7323b-decf-43f0-ab1b-c3b5a5e0159e"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Merge the two DataFrames into a single dataset, with a new binary feature \"is_red\" that indicates whether the wine is red or white."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"08eaf617-f2fd-4ea1-a054-633bd470b7f6"}}},{"cell_type":"code","source":["red_wine['is_red'] = 1\nwhite_wine['is_red'] = 0\n\ndata = pd.concat([red_wine, white_wine], axis=0)\n\n# Remove spaces from column names\ndata.rename(columns=lambda x: x.replace(' ', '_'), inplace=True)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"09e989d5-949f-4bec-9122-060b995a2f11"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["data.head()"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cf5ae58a-d4d4-4006-9a8d-bc7ae8131c12"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[33]:
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
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"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
fixed_acidityvolatile_aciditycitric_acidresidual_sugarchloridesfree_sulfur_dioxidetotal_sulfur_dioxidedensitypHsulphatesalcoholqualityis_red
07.40.700.001.90.07611.034.00.99783.510.569.451
17.80.880.002.60.09825.067.00.99683.200.689.851
27.80.760.042.30.09215.054.00.99703.260.659.851
311.20.280.561.90.07517.060.00.99803.160.589.861
47.40.700.001.90.07611.034.00.99783.510.569.451
\n
","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
fixed_acidityvolatile_aciditycitric_acidresidual_sugarchloridesfree_sulfur_dioxidetotal_sulfur_dioxidedensitypHsulphatesalcoholqualityis_red
07.40.700.001.90.07611.034.00.99783.510.569.451
17.80.880.002.60.09825.067.00.99683.200.689.851
27.80.760.042.30.09215.054.00.99703.260.659.851
311.20.280.561.90.07517.060.00.99803.160.589.861
47.40.700.001.90.07611.034.00.99783.510.569.451
\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Visualize data\n\nBefore training a model, explore the dataset using Seaborn and Matplotlib."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"4ce0fcc0-6131-4db8-8497-5e525b7252c3"}}},{"cell_type":"markdown","source":["Plot a histogram of the dependent variable, quality."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"31cf51f6-4bd1-4aa5-ac59-9deede4ccf86"}}},{"cell_type":"code","source":["import seaborn as sns\nsns.distplot(data.quality, kde=False)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"5f38e522-42e9-4673-8bfa-43a5fc28ee6d"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
/databricks/python/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n warnings.warn(msg, FutureWarning)\nOut[34]:
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
/databricks/python/lib/python3.8/site-packages/seaborn/distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n warnings.warn(msg, FutureWarning)\nOut[34]:
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"}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
<AxesSubplot:xlabel='quality'>
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
<AxesSubplot:xlabel='quality'>
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Looks like quality scores are normally distributed between 3 and 9. \n\nDefine a wine as high quality if it has quality >= 7."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cce08fec-03ea-4d8a-846e-b602ea950be3"}}},{"cell_type":"code","source":["high_quality = (data.quality >= 7).astype(int)\ndata.quality = high_quality"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"501a185a-3125-4ac4-83c1-61d28b529eaf"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Box plots are useful in noticing correlations between features and a binary label."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"f7b8d9dc-4408-4a84-9a5d-3d187960d9fe"}}},{"cell_type":"code","source":["import matplotlib.pyplot as plt\n\ndims = (3, 4)\n\nf, axes = plt.subplots(dims[0], dims[1], figsize=(25, 15))\naxis_i, axis_j = 0, 0\nfor col in data.columns:\n if col == 'is_red' or col == 'quality':\n continue # Box plots cannot be used on indicator variables\n sns.boxplot(x=high_quality, y=data[col], ax=axes[axis_i, axis_j])\n axis_j += 1\n if axis_j == dims[1]:\n axis_i += 1\n axis_j = 0"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"0ee658d2-fb77-451b-b119-f680eb8f345b"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"data:image/png;base64,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"}}],"execution_count":0},{"cell_type":"markdown","source":["In the above box plots, a few variables stand out as good univariate predictors of quality. \n\n- In the alcohol box plot, the median alcohol content of high quality wines is greater than even the 75th quantile of low quality wines. High alcohol content is correlated with quality.\n- In the density box plot, low quality wines have a greater density than high quality wines. Density is inversely correlated with quality."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c379687d-03da-41aa-bdf5-953db5ec9534"}}},{"cell_type":"markdown","source":["## Preprocess data\nPrior to training a model, check for missing values and split the data into training and validation sets."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"27b6967c-5a25-4fe6-894c-4c07a63014d7"}}},{"cell_type":"code","source":["data.isna().any()"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"601c2717-c8a5-4411-ba78-e033a9bcdd83"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[37]: fixed_acidity False\nvolatile_acidity False\ncitric_acid False\nresidual_sugar False\nchlorides False\nfree_sulfur_dioxide False\ntotal_sulfur_dioxide False\ndensity False\npH False\nsulphates False\nalcohol False\nquality False\nis_red False\ndtype: bool
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[37]: fixed_acidity False\nvolatile_acidity False\ncitric_acid False\nresidual_sugar False\nchlorides False\nfree_sulfur_dioxide False\ntotal_sulfur_dioxide False\ndensity False\npH False\nsulphates False\nalcohol False\nquality False\nis_red False\ndtype: bool
"]}}],"execution_count":0},{"cell_type":"markdown","source":["There are no missing values."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"aff3310f-e556-44b6-8f7d-e547682e7677"}}},{"cell_type":"markdown","source":["## Prepare dataset for training baseline model\nSplit the input data into 3 sets:\n- Train (60% of the dataset used to train the model)\n- Validation (20% of the dataset used to tune the hyperparameters)\n- Test (20% of the dataset used to report the true performance of the model on an unseen dataset)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"379abb9a-bd5b-46b9-8975-ce91858eba39"}}},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split\n\nX = data.drop([\"quality\"], axis=1)\ny = data.quality\n\n# Split out the training data\nX_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=123)\n\n# Split the remaining data equally into validation and test\nX_val, X_test, y_val, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=123)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e70c1c07-0048-4bb8-a0c3-17a7895bb4b2"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Build a baseline model\nThis task seems well suited to a random forest classifier, since the output is binary and there may be interactions between multiple variables.\n\nThe following code builds a simple classifier using scikit-learn. It uses MLflow to keep track of the model accuracy, and to save the model for later use."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"224d0ddf-3925-4849-bc20-564175c212e8"}}},{"cell_type":"code","source":["import mlflow\nimport mlflow.pyfunc\nimport mlflow.sklearn\nimport numpy as np\nimport sklearn\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import roc_auc_score\nfrom mlflow.models.signature import infer_signature\nfrom mlflow.utils.environment import _mlflow_conda_env\nimport cloudpickle\nimport time\n\n# The predict method of sklearn's RandomForestClassifier returns a binary classification (0 or 1). \n# The following code creates a wrapper function, SklearnModelWrapper, that uses \n# the predict_proba method to return the probability that the observation belongs to each class. \n\nclass SklearnModelWrapper(mlflow.pyfunc.PythonModel):\n def __init__(self, model):\n self.model = model\n \n def predict(self, context, model_input):\n return self.model.predict_proba(model_input)[:,1]\n\n# mlflow.start_run creates a new MLflow run to track the performance of this model. \n# Within the context, you call mlflow.log_param to keep track of the parameters used, and\n# mlflow.log_metric to record metrics like accuracy.\nwith mlflow.start_run(run_name='untuned_random_forest'):\n n_estimators = 10\n model = RandomForestClassifier(n_estimators=n_estimators, random_state=np.random.RandomState(123))\n model.fit(X_train, y_train)\n\n # predict_proba returns [prob_negative, prob_positive], so slice the output with [:, 1]\n predictions_test = model.predict_proba(X_test)[:,1]\n auc_score = roc_auc_score(y_test, predictions_test)\n mlflow.log_param('n_estimators', n_estimators)\n # Use the area under the ROC curve as a metric.\n mlflow.log_metric('auc', auc_score)\n wrappedModel = SklearnModelWrapper(model)\n # Log the model with a signature that defines the schema of the model's inputs and outputs. \n # When the model is deployed, this signature will be used to validate inputs.\n signature = infer_signature(X_train, wrappedModel.predict(None, X_train))\n \n # MLflow contains utilities to create a conda environment used to serve models.\n # The necessary dependencies are added to a conda.yaml file which is logged along with the model.\n conda_env = _mlflow_conda_env(\n additional_conda_deps=None,\n additional_pip_deps=[\"cloudpickle=={}\".format(cloudpickle.__version__), \"scikit-learn=={}\".format(sklearn.__version__)],\n additional_conda_channels=None,\n )\n mlflow.pyfunc.log_model(\"random_forest_model\", python_model=wrappedModel, conda_env=conda_env, signature=signature)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"46af6002-8063-4ada-b7e5-6ce56c22f60a"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
/databricks/python/lib/python3.8/site-packages/mlflow/models/signature.py:129: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values <https://www.mlflow.org/docs/latest/models.html#handling-integers-with-missing-values>`_ for more details.\n inputs = _infer_schema(model_input)\n
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
/databricks/python/lib/python3.8/site-packages/mlflow/models/signature.py:129: UserWarning: Hint: Inferred schema contains integer column(s). Integer columns in Python cannot represent missing values. If your input data contains missing values at inference time, it will be encoded as floats and will cause a schema enforcement error. The best way to avoid this problem is to infer the model schema based on a realistic data sample (training dataset) that includes missing values. Alternatively, you can declare integer columns as doubles (float64) whenever these columns may have missing values. See `Handling Integers With Missing Values <https://www.mlflow.org/docs/latest/models.html#handling-integers-with-missing-values>`_ for more details.\n inputs = _infer_schema(model_input)\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Examine the learned feature importances output by the model as a sanity-check."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"867b3e23-9147-4ca4-b2d2-f1103c471d53"}}},{"cell_type":"code","source":["feature_importances = pd.DataFrame(model.feature_importances_, index=X_train.columns.tolist(), columns=['importance'])\nfeature_importances.sort_values('importance', ascending=False)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1e174abe-774b-461e-b390-212e11d1c68d"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[40]:
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[40]:
"]}},{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
importance
alcohol0.160192
density0.117415
volatile_acidity0.093136
chlorides0.086618
residual_sugar0.082544
free_sulfur_dioxide0.080473
pH0.080212
total_sulfur_dioxide0.077798
sulphates0.075780
citric_acid0.071857
fixed_acidity0.071841
is_red0.002134
\n
","textData":null,"removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"htmlSandbox","arguments":{}}},"output_type":"display_data","data":{"text/html":["
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
importance
alcohol0.160192
density0.117415
volatile_acidity0.093136
chlorides0.086618
residual_sugar0.082544
free_sulfur_dioxide0.080473
pH0.080212
total_sulfur_dioxide0.077798
sulphates0.075780
citric_acid0.071857
fixed_acidity0.071841
is_red0.002134
\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["As illustrated by the boxplots shown previously, both alcohol and density are important in predicting quality."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"06a939b8-7232-464b-8370-2bc9e3a8c613"}}},{"cell_type":"markdown","source":["You logged the Area Under the ROC Curve (AUC) to MLflow. Click **Experiment** at the upper right to display the Experiment Runs sidebar. \n\nThe model achieved an AUC of 0.854.\n\nA random classifier would have an AUC of 0.5, and higher AUC values are better. For more information, see [Receiver Operating Characteristic Curve](https://en.wikipedia.org/wiki/Receiver_operating_characteristic#Area_under_the_curve)."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"f8981b9f-8833-4dc4-a1cb-b25f9f43a8c6"}}},{"cell_type":"markdown","source":["#### Register the model in MLflow Model Registry\n\nBy registering this model in Model Registry, you can easily reference the model from anywhere within Databricks.\n\nThe following section shows how to do this programmatically, but you can also register a model using the UI. See \"Create or register a model using the UI\" ([AWS](https://docs.databricks.com/applications/machine-learning/manage-model-lifecycle/index.html#create-or-register-a-model-using-the-ui)|[Azure](https://docs.microsoft.com/azure/databricks/applications/machine-learning/manage-model-lifecycle/index#create-or-register-a-model-using-the-ui)|[GCP](https://docs.gcp.databricks.com/applications/machine-learning/manage-model-lifecycle/index.html#create-or-register-a-model-using-the-ui))."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"8d1df4d8-4b50-47d8-ad89-d3c80ce960ee"}}},{"cell_type":"code","source":["run_id = mlflow.search_runs(filter_string='tags.mlflow.runName = \"untuned_random_forest\"').iloc[0].run_id"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"9f7b7e14-b016-41c1-9852-aae0f6625e93"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["# If you see the error \"PERMISSION_DENIED: User does not have any permission level assigned to the registered model\", \n# the cause may be that a model already exists with the name \"wine_quality\". Try using a different name.\nmodel_name = \"wine_quality\"\nmodel_version = mlflow.register_model(f\"runs:/{run_id}/random_forest_model\", model_name)\n\n# Registering the model takes a few seconds, so add a small delay\ntime.sleep(15)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"4774edbf-f3fb-495c-a638-ec63f275f885"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Registered model 'wine_quality' already exists. Creating a new version of this model...\n2022/03/08 04:20:15 INFO mlflow.tracking._model_registry.client: Waiting up to 300 seconds for model version to finish creation. Model name: wine_quality, version 30\nCreated version '30' of model 'wine_quality'.\n
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Registered model 'wine_quality' already exists. Creating a new version of this model...\n2022/03/08 04:20:15 INFO mlflow.tracking._model_registry.client: Waiting up to 300 seconds for model version to finish creation. Model name: wine_quality, version 30\nCreated version '30' of model 'wine_quality'.\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["You should now see the model in the Models page. To display the Models page, click the Models icon in the left sidebar. \n\nNext, transition this model to production and load it into this notebook from Model Registry."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"46f16d91-13ad-4e28-866f-3a979eb6fde1"}}},{"cell_type":"code","source":["from mlflow.tracking import MlflowClient\n\nclient = MlflowClient()\nclient.transition_model_version_stage(\n name=model_name,\n version=model_version.version,\n stage=\"Production\",\n)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"cb032bd6-7e9d-4430-8c13-895ebc189297"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[43]: <ModelVersion: creation_timestamp=1646713215808, current_stage='Production', description='', last_updated_timestamp=1646713237353, name='wine_quality', run_id='7fd422b0d80f4b91b74bbaaded2fb79c', run_link='', source='dbfs:/databricks/mlflow-tracking/2706240218630387/7fd422b0d80f4b91b74bbaaded2fb79c/artifacts/random_forest_model', status='READY', status_message='', tags={}, user_id='5813470939533708', version='30'>
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[43]: <ModelVersion: creation_timestamp=1646713215808, current_stage='Production', description='', last_updated_timestamp=1646713237353, name='wine_quality', run_id='7fd422b0d80f4b91b74bbaaded2fb79c', run_link='', source='dbfs:/databricks/mlflow-tracking/2706240218630387/7fd422b0d80f4b91b74bbaaded2fb79c/artifacts/random_forest_model', status='READY', status_message='', tags={}, user_id='5813470939533708', version='30'>
"]}}],"execution_count":0},{"cell_type":"markdown","source":["The Models page now shows the model version in stage \"Production\".\n\nYou can now refer to the model using the path \"models:/wine_quality/production\"."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"f284978e-9c9b-4cd2-8bdc-1393991c5701"}}},{"cell_type":"code","source":["model = mlflow.pyfunc.load_model(f\"models:/{model_name}/production\")\n\n# Sanity-check: This should match the AUC logged by MLflow\nprint(f'AUC: {roc_auc_score(y_test, model.predict(X_test))}')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"58b22211-62ea-4fdd-a6ff-c552a65fa6e9"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
AUC: 0.8540300975814177\n
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
AUC: 0.8540300975814177\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["##Experiment with a new model\n\nThe random forest model performed well even without hyperparameter tuning.\n\nThe following code uses the xgboost library to train a more accurate model. It runs a parallel hyperparameter sweep to train multiple\nmodels in parallel, using Hyperopt and SparkTrials. As before, the code tracks the performance of each parameter configuration with MLflow."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"6bc8e62b-0ee7-42bf-838a-45c020259814"}}},{"cell_type":"code","source":["from hyperopt import fmin, tpe, hp, SparkTrials, Trials, STATUS_OK\nfrom hyperopt.pyll import scope\nfrom math import exp\nimport mlflow.xgboost\nimport numpy as np\nimport xgboost as xgb\n\nsearch_space = {\n 'max_depth': scope.int(hp.quniform('max_depth', 4, 100, 1)),\n 'learning_rate': hp.loguniform('learning_rate', -3, 0),\n 'reg_alpha': hp.loguniform('reg_alpha', -5, -1),\n 'reg_lambda': hp.loguniform('reg_lambda', -6, -1),\n 'min_child_weight': hp.loguniform('min_child_weight', -1, 3),\n 'objective': 'binary:logistic',\n 'seed': 123, # Set a seed for deterministic training\n}\n\ndef train_model(params):\n # With MLflow autologging, hyperparameters and the trained model are automatically logged to MLflow.\n mlflow.xgboost.autolog()\n with mlflow.start_run(nested=True):\n train = xgb.DMatrix(data=X_train, label=y_train)\n validation = xgb.DMatrix(data=X_val, label=y_val)\n # Pass in the validation set so xgb can track an evaluation metric. XGBoost terminates training when the evaluation metric\n # is no longer improving.\n booster = xgb.train(params=params, dtrain=train, num_boost_round=1000,\\\n evals=[(validation, \"validation\")], early_stopping_rounds=50)\n validation_predictions = booster.predict(validation)\n auc_score = roc_auc_score(y_val, validation_predictions)\n mlflow.log_metric('auc', auc_score)\n\n signature = infer_signature(X_train, booster.predict(train))\n mlflow.xgboost.log_model(booster, \"model\", signature=signature)\n \n # Set the loss to -1*auc_score so fmin maximizes the auc_score\n return {'status': STATUS_OK, 'loss': -1*auc_score, 'booster': booster.attributes()}\n\n# Greater parallelism will lead to speedups, but a less optimal hyperparameter sweep. \n# A reasonable value for parallelism is the square root of max_evals.\nspark_trials = SparkTrials(parallelism=10)\n\n# Run fmin within an MLflow run context so that each hyperparameter configuration is logged as a child run of a parent\n# run called \"xgboost_models\" .\nwith mlflow.start_run(run_name='xgboost_models'):\n best_params = fmin(\n fn=train_model, \n space=search_space, \n algo=tpe.suggest, \n max_evals=96,\n trials=spark_trials,\n )"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"01f69756-98aa-4e0e-b8bf-0a7d84dbdb05"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Hyperopt with SparkTrials will automatically track trials in MLflow. To view the MLflow experiment associated with the notebook, click the 'Runs' icon in the notebook context bar on the upper right. There, you can view all runs.\nTo view logs from trials, please check the Spark executor logs. To view executor logs, expand 'Spark Jobs' above until you see the (i) icon next to the stage from the trial job. Click it and find the list of tasks. Click the 'stderr' link for a task to view trial logs.\n\r 0%| | 0/96 [00:00<?, ?trial/s, best loss=?]\r 2%|▏ | 2/96 [00:10<08:03, 5.14s/trial, best loss: -0.882337094564431]\r 3%|▎ | 3/96 [00:14<07:14, 4.68s/trial, best loss: -0.882337094564431]\r 4%|▍ | 4/96 [00:17<06:19, 4.13s/trial, best loss: -0.8846500207816997]\r 6%|▋ | 6/96 [00:21<04:33, 3.04s/trial, best loss: -0.8846500207816997]\r 7%|▋ | 7/96 [00:23<04:05, 2.76s/trial, best loss: -0.8846500207816997]\r 9%|▉ | 9/96 [00:30<04:31, 3.13s/trial, best loss: -0.8933918043133573]\r 10%|█ | 10/96 [00:32<04:06, 2.86s/trial, best loss: -0.8933918043133573]\r 11%|█▏ | 11/96 [00:36<04:31, 3.20s/trial, best loss: -0.9003632949000169]\r 12%|█▎ | 12/96 [00:38<04:02, 2.89s/trial, best loss: -0.9003632949000169]\r 14%|█▎ | 13/96 [00:39<03:16, 2.37s/trial, best loss: -0.9003632949000169]\r 15%|█▍ | 14/96 [00:43<03:30, 2.56s/trial, best loss: -0.9003632949000169]\r 16%|█▌ | 15/96 [00:44<02:51, 2.12s/trial, best loss: -0.9003632949000169]\r 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1.31s/trial, best loss: -0.9003632949000169]\r 99%|█████████▉| 95/96 [03:17<00:01, 1.46s/trial, best loss: -0.9003632949000169]\r100%|██████████| 96/96 [03:21<00:00, 2.09s/trial, best loss: -0.9003632949000169]\r100%|██████████| 96/96 [03:21<00:00, 2.10s/trial, best loss: -0.9003632949000169]\nTotal Trials: 96: 96 succeeded, 0 failed, 0 cancelled.\n
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Hyperopt with SparkTrials will automatically track trials in MLflow. To view the MLflow experiment associated with the notebook, click the 'Runs' icon in the notebook context bar on the upper right. There, you can view all runs.\nTo view logs from trials, please check the Spark executor logs. To view executor logs, expand 'Spark Jobs' above until you see the (i) icon next to the stage from the trial job. Click it and find the list of tasks. Click the 'stderr' link for a task to view trial logs.\n\r 0%| | 0/96 [00:00<?, ?trial/s, best loss=?]\r 2%|▏ | 2/96 [00:10<08:03, 5.14s/trial, best loss: -0.882337094564431]\r 3%|▎ | 3/96 [00:14<07:14, 4.68s/trial, best loss: -0.882337094564431]\r 4%|▍ | 4/96 [00:17<06:19, 4.13s/trial, best loss: -0.8846500207816997]\r 6%|▋ | 6/96 [00:21<04:33, 3.04s/trial, best loss: -0.8846500207816997]\r 7%|▋ | 7/96 [00:23<04:05, 2.76s/trial, best loss: -0.8846500207816997]\r 9%|▉ | 9/96 [00:30<04:31, 3.13s/trial, best loss: -0.8933918043133573]\r 10%|█ | 10/96 [00:32<04:06, 2.86s/trial, best loss: -0.8933918043133573]\r 11%|█▏ | 11/96 [00:36<04:31, 3.20s/trial, best loss: -0.9003632949000169]\r 12%|█▎ | 12/96 [00:38<04:02, 2.89s/trial, best loss: -0.9003632949000169]\r 14%|█▎ | 13/96 [00:39<03:16, 2.37s/trial, best loss: -0.9003632949000169]\r 15%|█▍ | 14/96 [00:43<03:30, 2.56s/trial, best loss: -0.9003632949000169]\r 16%|█▌ | 15/96 [00:44<02:51, 2.12s/trial, best loss: -0.9003632949000169]\r 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1.51s/trial, best loss: -0.9003632949000169]\r 82%|████████▏ | 79/96 [02:47<00:23, 1.38s/trial, best loss: -0.9003632949000169]\r 83%|████████▎ | 80/96 [02:48<00:20, 1.28s/trial, best loss: -0.9003632949000169]\r 85%|████████▌ | 82/96 [02:50<00:16, 1.17s/trial, best loss: -0.9003632949000169]\r 86%|████████▋ | 83/96 [02:56<00:30, 2.33s/trial, best loss: -0.9003632949000169]\r 88%|████████▊ | 84/96 [03:00<00:33, 2.76s/trial, best loss: -0.9003632949000169]\r 89%|████████▊ | 85/96 [03:03<00:31, 2.84s/trial, best loss: -0.9003632949000169]\r 90%|████████▉ | 86/96 [03:05<00:26, 2.61s/trial, best loss: -0.9003632949000169]\r 92%|█████████▏| 88/96 [03:07<00:15, 1.90s/trial, best loss: -0.9003632949000169]\r 93%|█████████▎| 89/96 [03:10<00:15, 2.17s/trial, best loss: -0.9003632949000169]\r 95%|█████████▍| 91/96 [03:13<00:09, 1.90s/trial, best loss: -0.9003632949000169]\r 97%|█████████▋| 93/96 [03:14<00:04, 1.38s/trial, best loss: -0.9003632949000169]\r 98%|█████████▊| 94/96 [03:15<00:02, 1.31s/trial, best loss: -0.9003632949000169]\r 99%|█████████▉| 95/96 [03:17<00:01, 1.46s/trial, best loss: -0.9003632949000169]\r100%|██████████| 96/96 [03:21<00:00, 2.09s/trial, best loss: -0.9003632949000169]\r100%|██████████| 96/96 [03:21<00:00, 2.10s/trial, best loss: -0.9003632949000169]\nTotal Trials: 96: 96 succeeded, 0 failed, 0 cancelled.\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["#### Use MLflow to view the results\nOpen up the Experiment Runs sidebar to see the MLflow runs. Click on Date next to the down arrow to display a menu, and select 'auc' to display the runs sorted by the auc metric. The highest auc value is 0.90.\n\nMLflow tracks the parameters and performance metrics of each run. Click the External Link icon at the top of the Experiment Runs sidebar to navigate to the MLflow Runs Table."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"012e3c74-236f-4166-bb15-b129eb01181a"}}},{"cell_type":"markdown","source":["Now investigate how the hyperparameter choice correlates with AUC. Click the \"+\" icon to expand the parent run, then select all runs except the parent, and click \"Compare\". Select the Parallel Coordinates Plot.\n\nThe Parallel Coordinates Plot is useful in understanding the impact of parameters on a metric. You can drag the pink slider bar at the upper right corner of the plot to highlight a subset of AUC values and the corresponding parameter values. The plot below highlights the highest AUC values:\n\n\n\nNotice that all of the top performing runs have a low value for reg_lambda and learning_rate. \n\nYou could run another hyperparameter sweep to explore even lower values for these parameters. For simplicity, that step is not included in this example."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"00e5ea89-0918-44b3-9fca-60f7f48fb6b5"}}},{"cell_type":"markdown","source":["You used MLflow to log the model produced by each hyperparameter configuration. The following code finds the best performing run and saves the model to Model Registry."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"1752fa82-55e2-457c-b6d3-d545483b1eae"}}},{"cell_type":"code","source":["best_run = mlflow.search_runs(order_by=['metrics.auc DESC']).iloc[0]\nprint(f'AUC of Best Run: {best_run[\"metrics.auc\"]}')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"ac2d08c5-5381-40e8-b8a2-a0737ca5f934"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
AUC of Best Run: 0.9003632949000169\n
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
AUC of Best Run: 0.9003632949000169\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["#### Update the production `wine_quality` model in MLflow Model Registry\n\nEarlier, you saved the baseline model to Model Registry with the name `wine_quality`. Now that you have a created a more accurate model, update `wine_quality`."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"c34b4cf8-35f1-48e8-bc64-51b6b4cf0f70"}}},{"cell_type":"code","source":["new_model_version = mlflow.register_model(f\"runs:/{best_run.run_id}/model\", model_name)\n\n# Registering the model takes a few seconds, so add a small delay\ntime.sleep(15)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e7419396-4da9-4181-8a3d-613b80d3544b"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Registered model 'wine_quality' already exists. Creating a new version of this model...\n2022/03/08 04:24:04 INFO mlflow.tracking._model_registry.client: Waiting up to 300 seconds for model version to finish creation. Model name: wine_quality, version 31\nCreated version '31' of model 'wine_quality'.\n
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Registered model 'wine_quality' already exists. Creating a new version of this model...\n2022/03/08 04:24:04 INFO mlflow.tracking._model_registry.client: Waiting up to 300 seconds for model version to finish creation. Model name: wine_quality, version 31\nCreated version '31' of model 'wine_quality'.\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Click **Models** in the left sidebar to see that the `wine_quality` model now has two versions. \n\nThe following code promotes the new version to production."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"faaceaa1-fb8c-4e72-80c6-b9c7c5815a18"}}},{"cell_type":"code","source":["# Archive the old model version\nclient.transition_model_version_stage(\n name=model_name,\n version=model_version.version,\n stage=\"Archived\"\n)\n\n# Promote the new model version to Production\nclient.transition_model_version_stage(\n name=model_name,\n version=new_model_version.version,\n stage=\"Production\"\n)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"49c2eaec-eaf5-4e38-ab58-1d029271e4b9"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
Out[48]: <ModelVersion: creation_timestamp=1646713443971, current_stage='Production', description='', last_updated_timestamp=1646713465720, name='wine_quality', run_id='ef703dd69da445d69ecf8f56be34354c', run_link='', source='dbfs:/databricks/mlflow-tracking/2706240218630387/ef703dd69da445d69ecf8f56be34354c/artifacts/model', status='READY', status_message='', tags={}, user_id='5813470939533708', version='31'>
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
Out[48]: <ModelVersion: creation_timestamp=1646713443971, current_stage='Production', description='', last_updated_timestamp=1646713465720, name='wine_quality', run_id='ef703dd69da445d69ecf8f56be34354c', run_link='', source='dbfs:/databricks/mlflow-tracking/2706240218630387/ef703dd69da445d69ecf8f56be34354c/artifacts/model', status='READY', status_message='', tags={}, user_id='5813470939533708', version='31'>
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Clients that call load_model now receive the new model."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"11553e11-faea-43ae-aac1-10545a252e64"}}},{"cell_type":"code","source":["# This code is the same as the last block of \"Building a Baseline Model\". No change is required for clients to get the new model!\nmodel = mlflow.pyfunc.load_model(f\"models:/{model_name}/production\")\nprint(f'AUC: {roc_auc_score(y_test, model.predict(X_test))}')"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"6c7a24e2-9eb2-432b-af35-e3bf3dc03a46"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
AUC: 0.9058945462164752\n
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
AUC: 0.9058945462164752\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["The auc value on the test set for the new model is 0.90. You beat the baseline!"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"383276bc-bdfe-416f-956d-c45773af7a00"}}},{"cell_type":"markdown","source":["##Batch inference\n\nThere are many scenarios where you might want to evaluate a model on a corpus of new data. For example, you may have a fresh batch of data, or may need to compare the performance of two models on the same corpus of data.\n\nThe following code evaluates the model on data stored in a Delta table, using Spark to run the computation in parallel."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2be6ef67-12ae-479a-8ba9-2a9ff90224b3"}}},{"cell_type":"code","source":["# To simulate a new corpus of data, save the existing X_train data to a Delta table. \n# In the real world, this would be a new batch of data.\nspark_df = spark.createDataFrame(X_train)\n# Replace with your username before running this cell.\ntable_path = \"dbfs://delta/wine_data\"\n# Delete the contents of this path in case this cell has already been run\ndbutils.fs.rm(table_path, True)\nspark_df.write.format(\"delta\").save(table_path)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"5b42b701-ccf1-4bd0-a9dd-1e705bcdd795"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Load the model into a Spark UDF, so it can be applied to the Delta table."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"f1be915c-f0ea-4003-acc3-a56941da3ca8"}}},{"cell_type":"code","source":["import mlflow.pyfunc\n\napply_model_udf = mlflow.pyfunc.spark_udf(spark, f\"models:/{model_name}/production\")"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"f9a1e264-e441-46b5-b38c-b896f7d21b1f"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["# Read the \"new data\" from Delta\nnew_data = spark.read.format(\"delta\").load(table_path)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e6bd7794-a6d3-4f87-8b06-11cdef5ac607"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["display(new_data)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"b09df20f-a6c7-40ba-a23d-cf158bc56cb0"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[[7.2,0.23,0.39,2.3,0.033,29.0,102.0,0.9908,3.26,0.54,12.3,0],[6.4,0.24,0.27,1.5,0.04,35.0,105.0,0.98914,3.13,0.3,12.4,0],[7.4,0.24,0.29,10.1,0.05,21.0,105.0,0.9962,3.13,0.35,9.5,0],[8.6,0.37,0.65,6.4,0.08,3.0,8.0,0.99817,3.27,0.58,11.0,1],[5.9,0.32,0.39,3.3,0.114,24.0,140.0,0.9934,3.09,0.45,9.2,0],[7.0,0.42,0.35,1.6,0.088,16.0,39.0,0.9961,3.34,0.55,9.2,1],[6.7,0.31,0.44,6.7,0.054,29.0,160.0,0.9952,3.04,0.44,9.6,0],[8.1,0.545,0.18,1.9,0.08,13.0,35.0,0.9972,3.3,0.59,9.0,1],[6.3,0.41,0.3,3.2,0.03,49.0,164.0,0.9927,3.53,0.79,11.7,0],[7.3,0.49,0.32,5.2,0.043,18.0,104.0,0.9952,3.24,0.45,10.7,0],[5.7,0.24,0.47,6.3,0.069,35.0,182.0,0.99391,3.11,0.46,9.73333333333333,0],[7.2,0.23,0.32,8.5,0.058,47.0,186.0,0.9956,3.19,0.4,9.9,0],[6.9,0.31,0.34,7.4,0.059,36.0,174.0,0.9963,3.46,0.62,11.1,0],[6.0,0.26,0.32,3.5,0.028,29.0,113.0,0.9912,3.4,0.71,12.3,0],[6.5,0.32,0.12,11.5,0.033,35.0,165.0,0.9974,3.22,0.32,9.0,0],[7.1,0.21,0.3,1.4,0.037,45.0,143.0,0.9932,3.13,0.33,9.9,0],[8.2,0.27,0.39,7.8,0.039,49.0,208.0,0.9976,3.31,0.51,9.5,0],[6.8,0.26,0.24,7.8,0.052,54.0,214.0,0.9961,3.13,0.47,8.9,0],[7.0,0.36,0.35,2.5,0.048,67.0,161.0,0.99146,3.05,0.56,11.1,0],[7.2,0.25,0.32,1.5,0.054,24.0,105.0,0.99154,3.17,0.48,11.1,0],[8.4,0.19,0.43,2.1,0.052,20.0,104.0,0.994,2.85,0.46,9.5,0],[5.6,0.615,0.0,1.6,0.089,16.0,59.0,0.9943,3.58,0.52,9.9,1],[6.6,0.085,0.33,1.4,0.036,17.0,109.0,0.99306,3.27,0.61,9.5,0],[8.8,0.39,0.35,1.8,0.096,22.0,80.0,0.99016,2.95,0.54,12.6,0],[6.0,0.27,0.28,4.8,0.063,31.0,201.0,0.9964,3.69,0.71,10.0,0],[7.3,0.32,0.23,2.3,0.066,35.0,70.0,0.99588,3.43,0.62,10.1,1],[9.2,0.71,0.23,6.2,0.042,15.0,93.0,0.9948,2.89,0.34,10.1,0],[7.5,0.22,0.32,2.4,0.045,29.0,100.0,0.99135,3.08,0.6,11.3,0],[7.5,0.14,0.74,1.6,0.035,21.0,126.0,0.9933,3.26,0.45,10.2,0],[5.6,0.245,0.32,1.1,0.047,24.0,152.0,0.9927,3.12,0.42,9.3,0],[5.8,0.28,0.66,9.1,0.039,26.0,159.0,0.9965,3.66,0.55,10.8,0],[6.3,0.15,0.3,1.4,0.022,38.0,100.0,0.99099,3.42,0.57,11.4,0],[7.1,0.37,0.3,6.2,0.04,49.0,139.0,0.99021,3.17,0.27,13.6,0],[6.5,0.29,0.53,1.7,0.04,41.0,192.0,0.9922,3.26,0.59,10.4,0],[7.4,0.28,0.5,12.1,0.049,48.0,122.0,0.9973,3.01,0.44,9.0,0],[7.1,0.32,0.24,13.1,0.05,52.0,204.0,0.998,3.1,0.49,8.8,0],[6.0,0.27,0.32,3.6,0.035,36.0,133.0,0.99215,3.23,0.46,10.8,0],[9.2,0.18,0.49,1.5,0.041,39.0,130.0,0.9945,3.04,0.49,9.8,0],[6.6,0.84,0.03,2.3,0.059,32.0,48.0,0.9952,3.52,0.56,12.3,1],[7.6,0.14,0.74,1.6,0.04,27.0,103.0,0.9916,3.07,0.4,10.8,0],[5.5,0.29,0.3,1.1,0.022,20.0,110.0,0.98869,3.34,0.38,12.8,0],[7.2,0.22,0.28,7.2,0.06,41.0,132.0,0.9935,3.08,0.59,11.3,0],[7.6,0.27,0.29,2.5,0.059,37.0,115.0,0.99328,3.09,0.37,9.8,0],[7.3,0.2,0.39,2.3,0.048,24.0,87.0,0.99044,2.94,0.35,12.0,0],[7.2,0.66,0.03,2.3,0.078,16.0,86.0,0.99743,3.53,0.57,9.7,1],[7.6,0.33,0.36,2.1,0.034,26.0,172.0,0.9944,3.42,0.48,10.5,0],[9.0,0.43,0.3,1.5,0.05,7.0,175.0,0.9951,3.11,0.45,9.7,0],[8.0,0.17,0.29,2.4,0.029,52.0,119.0,0.98944,3.03,0.33,12.9,0],[7.4,0.27,0.31,2.4,0.014,15.0,143.0,0.99094,3.03,0.65,12.0,0],[8.0,0.27,0.33,1.2,0.05,41.0,103.0,0.99002,3.0,0.45,12.4,0],[7.5,0.21,0.29,1.5,0.046,35.0,107.0,0.99123,3.15,0.45,11.3,0],[7.3,0.39,0.31,2.4,0.074,9.0,46.0,0.9962,3.41,0.54,9.4,1],[6.9,0.19,0.35,13.5,0.038,49.0,118.0,0.99546,3.0,0.63,10.7,0],[7.3,0.25,0.28,1.5,0.043,19.0,113.0,0.99338,3.38,0.56,10.1,0],[8.0,0.19,0.3,2.0,0.053,48.0,140.0,0.994,3.18,0.49,9.6,0],[6.4,0.24,0.32,0.95,0.041,23.0,131.0,0.99033,3.25,0.35,11.8,0],[6.6,0.2,0.14,4.4,0.184,35.0,168.0,0.99396,2.93,0.45,9.4,0],[6.1,0.15,0.29,6.2,0.046,39.0,151.0,0.99471,3.6,0.44,10.6,0],[8.8,0.6,0.29,2.2,0.098,5.0,15.0,0.9988,3.36,0.49,9.1,1],[7.1,0.38,0.29,13.6,0.041,30.0,137.0,0.99461,3.02,0.96,12.1,0],[7.1,0.21,0.72,1.6,0.167,65.0,120.0,0.99324,2.97,0.51,9.2,0],[7.5,0.29,0.36,15.7,0.05,29.0,124.0,0.9968,3.06,0.54,10.4,0],[5.4,0.15,0.32,2.5,0.037,10.0,51.0,0.98878,3.04,0.58,12.6,0],[7.2,0.39,0.63,11.0,0.044,55.0,156.0,0.9974,3.09,0.44,8.7,0],[7.6,0.26,0.32,1.3,0.048,23.0,76.0,0.9903,2.96,0.46,12.0,0],[11.8,0.23,0.38,11.1,0.034,15.0,123.0,0.9997,2.93,0.55,9.7,0],[6.0,0.19,0.37,9.7,0.032,17.0,50.0,0.9932,3.08,0.66,12.0,0],[8.1,0.28,0.34,1.3,0.035,11.0,126.0,0.99232,3.14,0.5,9.8,0],[6.3,0.23,0.21,5.1,0.035,29.0,142.0,0.9942,3.36,0.33,10.1,0],[6.4,0.28,0.36,1.3,0.053,28.0,186.0,0.99211,3.31,0.45,10.8,0],[10.0,0.73,0.43,2.3,0.059,15.0,31.0,0.9966,3.15,0.57,11.0,1],[6.5,0.5,0.22,4.1,0.036,35.0,131.0,0.9902,3.26,0.55,13.0,0],[7.0,0.36,0.3,5.0,0.04,40.0,143.0,0.99173,3.33,0.42,12.2,0],[5.7,0.23,0.28,9.65,0.025,26.0,121.0,0.9925,3.28,0.38,11.3,0],[6.8,0.3,0.26,20.3,0.037,45.0,150.0,0.99727,3.04,0.38,12.3,0],[7.5,0.22,0.33,6.7,0.036,45.0,138.0,0.9939,3.2,0.68,11.4,0],[5.1,0.35,0.26,6.8,0.034,36.0,120.0,0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6.30.680.013.70.10332.054.00.995863.510.6611.31
5.80.260.291.00.04235.0101.00.990443.360.4811.40
7.80.150.341.10.03531.093.00.990963.070.7211.30
7.30.180.3117.30.05532.0197.01.00023.130.469.00
7.60.350.4614.70.04733.0151.00.997093.030.5310.30
15.50.6450.494.20.09510.023.01.003152.920.7411.11
6.20.170.31.10.03714.079.00.9933.50.5410.30
7.10.350.273.10.03428.0134.00.98973.260.3813.10
8.60.370.656.40.083.08.00.998173.270.5811.01
8.50.170.311.00.02413.091.00.9932.790.3710.10
5.60.410.227.10.0544.0154.00.99313.30.410.50
6.70.240.418.70.03629.0148.00.99523.220.629.90
5.80.280.33.90.02636.0105.00.989633.260.5812.750
6.10.220.491.50.05118.087.00.99283.30.469.60
5.30.760.032.70.04327.093.00.99323.340.389.20
6.10.640.022.40.06926.046.00.993583.470.4511.01
8.50.250.274.70.03131.092.00.99223.010.3312.00
6.00.540.061.80.0538.089.00.992363.30.510.551
7.90.210.41.20.03938.0107.00.9923.210.5410.80
5.60.260.265.70.03112.080.00.99233.250.3810.80
7.00.690.072.50.09115.021.00.995723.380.611.31
5.01.020.041.40.04541.085.00.99383.750.4810.51
7.40.60.262.10.08317.091.00.996163.290.569.81
8.00.380.441.90.0986.015.00.99563.30.6411.41
6.60.250.3112.40.05952.0181.00.99843.510.479.80
8.00.30.3611.00.0348.070.00.993543.050.4112.20
6.10.210.36.30.03947.0136.00.990683.270.3112.70
6.50.180.311.70.04430.0127.00.99283.490.510.20
6.20.330.195.60.04222.0143.00.994253.150.639.90
5.50.4850.01.50.0658.0103.00.9943.630.49.70
8.50.280.3413.80.04132.0161.00.99813.130.49.90
6.00.170.295.00.02825.0108.00.990763.140.3412.30
5.60.6950.066.80.0429.084.00.994323.440.4410.20
7.60.30.42.20.05429.0175.00.994453.190.539.80
7.30.510.182.10.0712.028.00.997683.520.739.51
6.70.410.272.60.03325.085.00.990863.050.3411.70
6.70.280.348.90.04832.0111.00.994553.250.5411.00
Showing the first 1000 rows.
"]}}],"execution_count":0},{"cell_type":"code","source":["from pyspark.sql.functions import struct\n\n# Apply the model to the new data\nudf_inputs = struct(*(X_train.columns.tolist()))\n\nnew_data = new_data.withColumn(\n \"prediction\",\n apply_model_udf(udf_inputs)\n)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"aa22c7ec-d8c9-4cdd-a7f6-4ba366978cee"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"code","source":["# Each row now has an associated prediction. Note that the xgboost function does not output probabilities by default, so the predictions are not limited to the range [0, 1].\ndisplay(new_data)"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"e3437534-cf5f-4acb-bfb4-23de89f88ddf"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"overflow":true,"datasetInfos":[],"data":[[7.2,0.23,0.39,2.3,0.033,29.0,102.0,0.9908,3.26,0.54,12.3,0,0.9751631617546082],[6.4,0.24,0.27,1.5,0.04,35.0,105.0,0.98914,3.13,0.3,12.4,0,0.01992025412619114],[7.4,0.24,0.29,10.1,0.05,21.0,105.0,0.9962,3.13,0.35,9.5,0,7.046426762826741E-4],[8.6,0.37,0.65,6.4,0.08,3.0,8.0,0.99817,3.27,0.58,11.0,1,0.011003587394952774],[5.9,0.32,0.39,3.3,0.114,24.0,140.0,0.9934,3.09,0.45,9.2,0,0.00361012015491724],[7.0,0.42,0.35,1.6,0.088,16.0,39.0,0.9961,3.34,0.55,9.2,1,0.0010293669765815139],[6.7,0.31,0.44,6.7,0.054,29.0,160.0,0.9952,3.04,0.44,9.6,0,0.0010825126664713025],[8.1,0.545,0.18,1.9,0.08,13.0,35.0,0.9972,3.3,0.59,9.0,1,0.0016736732795834541],[6.3,0.41,0.3,3.2,0.03,49.0,164.0,0.9927,3.53,0.79,11.7,0,0.9625353217124939],[7.3,0.49,0.32,5.2,0.043,18.0,104.0,0.9952,3.24,0.45,10.7,0,0.012135892175137997],[5.7,0.24,0.47,6.3,0.069,35.0,182.0,0.99391,3.11,0.46,9.73333333333333,0,0.002645439701154828],[7.2,0.23,0.32,8.5,0.058,47.0,186.0,0.9956,3.19,0.4,9.9,0,0.0032776198349893093],[6.9,0.31,0.34,7.4,0.059,36.0,174.0,0.9963,3.46,0.62,11.1,0,0.9063054323196411],[6.0,0.26,0.32,3.5,0.028,29.0,113.0,0.9912,3.4,0.71,12.3,0,0.9731684327125549],[6.5,0.32,0.12,11.5,0.033,35.0,165.0,0.9974,3.22,0.32,9.0,0,0.001156796352006495],[7.1,0.21,0.3,1.4,0.037,45.0,143.0,0.9932,3.13,0.33,9.9,0,0.011401111260056496],[8.2,0.27,0.39,7.8,0.039,49.0,208.0,0.9976,3.31,0.51,9.5,0,0.009010124020278454],[6.8,0.26,0.24,7.8,0.052,54.0,214.0,0.9961,3.13,0.47,8.9,0,0.0013020867481827736],[7.0,0.36,0.35,2.5,0.048,67.0,161.0,0.99146,3.05,0.56,11.1,0,0.0716884657740593],[7.2,0.25,0.32,1.5,0.054,24.0,105.0,0.99154,3.17,0.48,11.1,0,0.007840806618332863],[8.4,0.19,0.43,2.1,0.052,20.0,104.0,0.994,2.85,0.46,9.5,0,0.00898531824350357],[5.6,0.615,0.0,1.6,0.089,16.0,59.0,0.9943,3.58,0.52,9.9,1,0.0019848872907459736],[6.6,0.085,0.33,1.4,0.036,17.0,109.0,0.99306,3.27,0.61,9.5,0,0.017587896436452866],[8.8,0.39,0.35,1.8,0.096,22.0,80.0,0.99016,2.95,0.54,12.6,0,0.01584608294069767],[6.0,0.27,0.28,4.8,0.063,31.0,201.0,0.9964,3.69,0.71,10.0,0,0.010482852347195148],[7.3,0.32,0.23,2.3,0.066,35.0,70.0,0.99588,3.43,0.62,10.1,1,0.005606499500572681],[9.2,0.71,0.23,6.2,0.042,15.0,93.0,0.9948,2.89,0.34,10.1,0,6.88909029122442E-4],[7.5,0.22,0.32,2.4,0.045,29.0,100.0,0.99135,3.08,0.6,11.3,0,0.9589137434959412],[7.5,0.14,0.74,1.6,0.035,21.0,126.0,0.9933,3.26,0.45,10.2,0,0.009778814390301704],[5.6,0.245,0.32,1.1,0.047,24.0,152.0,0.9927,3.12,0.42,9.3,0,0.0013140885857865214],[5.8,0.28,0.66,9.1,0.039,26.0,159.0,0.9965,3.66,0.55,10.8,0,0.02977527678012848],[6.3,0.15,0.3,1.4,0.022,38.0,100.0,0.99099,3.42,0.57,11.4,0,0.9320000410079956],[7.1,0.37,0.3,6.2,0.04,49.0,139.0,0.99021,3.17,0.27,13.6,0,0.05198657140135765],[6.5,0.29,0.53,1.7,0.04,41.0,192.0,0.9922,3.26,0.59,10.4,0,0.8902062773704529],[7.4,0.28,0.5,12.1,0.049,48.0,122.0,0.9973,3.01,0.44,9.0,0,0.004505288787186146],[7.1,0.32,0.24,13.1,0.05,52.0,204.0,0.998,3.1,0.49,8.8,0,0.010533100925385952],[6.0,0.27,0.32,3.6,0.035,36.0,133.0,0.99215,3.23,0.46,10.8,0,0.015155753120779991],[9.2,0.18,0.49,1.5,0.041,39.0,130.0,0.9945,3.04,0.49,9.8,0,0.9047970771789551],[6.6,0.84,0.03,2.3,0.059,32.0,48.0,0.9952,3.52,0.56,12.3,1,0.9120600819587708],[7.6,0.14,0.74,1.6,0.04,27.0,103.0,0.9916,3.07,0.4,10.8,0,0.8818873763084412],[5.5,0.29,0.3,1.1,0.022,20.0,110.0,0.98869,3.34,0.38,12.8,0,0.9537860155105591],[7.2,0.22,0.28,7.2,0.06,41.0,132.0,0.9935,3.08,0.59,11.3,0,0.11146280914545059],[7.6,0.27,0.29,2.5,0.059,37.0,115.0,0.99328,3.09,0.37,9.8,0,0.0033767824061214924],[7.3,0.2,0.39,2.3,0.048,24.0,87.0,0.99044,2.94,0.35,12.0,0,0.028567757457494736],[7.2,0.66,0.03,2.3,0.078,16.0,86.0,0.99743,3.53,0.57,9.7,1,5.143549642525613E-4],[7.6,0.33,0.36,2.1,0.034,26.0,172.0,0.9944,3.42,0.48,10.5,0,0.05245935171842575],[9.0,0.43,0.3,1.5,0.05,7.0,175.0,0.9951,3.11,0.45,9.7,0,4.268118354957551E-4],[8.0,0.17,0.29,2.4,0.029,52.0,119.0,0.98944,3.03,0.33,12.9,0,0.04263770952820778],[7.4,0.27,0.31,2.4,0.014,15.0,143.0,0.99094,3.03,0.65,12.0,0,0.03980858996510506],[8.0,0.27,0.33,1.2,0.05,41.0,103.0,0.99002,3.0,0.45,12.4,0,0.005018413532525301],[7.5,0.21,0.29,1.5,0.046,35.0,107.0,0.99123,3.15,0.45,11.3,0,0.06088990345597267],[7.3,0.39,0.31,2.4,0.074,9.0,46.0,0.9962,3.41,0.54,9.4,1,0.0020936760120093822],[6.9,0.19,0.35,13.5,0.038,49.0,118.0,0.99546,3.0,0.63,10.7,0,0.018375016748905182],[7.3,0.25,0.28,1.5,0.043,19.0,113.0,0.99338,3.38,0.56,10.1,0,0.015154771506786346],[8.0,0.19,0.3,2.0,0.053,48.0,140.0,0.994,3.18,0.49,9.6,0,0.010957462713122368],[6.4,0.24,0.32,0.95,0.041,23.0,131.0,0.99033,3.25,0.35,11.8,0,0.00997467152774334],[6.6,0.2,0.14,4.4,0.184,35.0,168.0,0.99396,2.93,0.45,9.4,0,0.004101524129509926],[6.1,0.15,0.29,6.2,0.046,39.0,151.0,0.99471,3.6,0.44,10.6,0,0.00821105670183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Showing the first 1000 rows.
"]}}],"execution_count":0},{"cell_type":"markdown","source":["## Model serving\n\nTo productionize the model for low latency predictions, use MLflow Model Serving ([AWS](https://docs.databricks.com/applications/mlflow/model-serving.html)|[Azure](https://docs.microsoft.com/azure/databricks/applications/mlflow/model-serving)|[GCP](https://docs.gcp.databricks.com/applications/mlflow/model-serving.html)) to deploy the model to an endpoint.\n\nThe following code illustrates how to issue requests using a REST API to get predictions from the deployed model."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"485cdc68-326a-4a17-ac48-5458413e8e8b"}}},{"cell_type":"markdown","source":["You need a Databricks token to issue requests to your model endpoint. You can generate a token from the User Settings page (click Settings in the left sidebar). Copy the token into the next cell."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"99b2067d-cd94-4ec7-9216-ed36c6253fa8"}}},{"cell_type":"code","source":["import os\nos.environ[\"DATABRICKS_TOKEN\"] = \"\""],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"06f073d5-9b77-41e1-8bcd-67f17e288d2d"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["Click **Models** in the left sidebar and navigate to the registered wine model. Click the serving tab, and then click **Enable Serving**.\n\nThen, under **Call The Model**, click the **Python** button to display a Python code snippet to issue requests. Copy the code into this notebook. It should look similar to the code in the next cell. \n\nYou can use the token to make these requests from outside Databricks notebooks as well."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"305d8fd0-3e43-4100-8ad3-a6f21eb8dddf"}}},{"cell_type":"code","source":["# Replace with code snippet from the model serving page\nimport os\nimport requests\nimport pandas as pd\n\ndef score_model(dataset: pd.DataFrame):\n url = 'https:///model/wine_quality/Production/invocations'\n headers = {'Authorization': f'Bearer {os.environ.get(\"DATABRICKS_TOKEN\")}'}\n data_json = dataset.to_dict(orient='split')\n response = requests.request(method='POST', headers=headers, url=url, json=data_json)\n if response.status_code != 200:\n raise Exception(f'Request failed with status {response.status_code}, {response.text}')\n return response.json()"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"d8962617-79a4-4962-9491-dd77dbb95dd9"}},"outputs":[{"output_type":"display_data","metadata":{"application/vnd.databricks.v1+output":{"datasetInfos":[],"data":"
","removedWidgets":[],"addedWidgets":{},"metadata":{},"type":"html","arguments":{}}},"output_type":"display_data","data":{"text/html":["\n
"]}}],"execution_count":0},{"cell_type":"markdown","source":["The model predictions from the endpoint should agree with the results from locally evaluating the model."],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"feb6ed38-6684-492c-8d01-ab2352103246"}}},{"cell_type":"code","source":["# Model serving is designed for low-latency predictions on smaller batches of data\nnum_predictions = 5\nserved_predictions = score_model(X_test[:num_predictions])\nmodel_evaluations = model.predict(X_test[:num_predictions])\n# Compare the results from the deployed model and the trained model\npd.DataFrame({\n \"Model Prediction\": model_evaluations,\n \"Served Model Prediction\": served_predictions,\n})"],"metadata":{"application/vnd.databricks.v1+cell":{"title":"","showTitle":false,"inputWidgets":{},"nuid":"2906da04-5ef6-4366-8ac4-bfa93ec21658"}},"outputs":[],"execution_count":0}],"metadata":{"application/vnd.databricks.v1+notebook":{"notebookName":"ML End-to-End Example (1)","dashboards":[],"notebookMetadata":{"pythonIndentUnit":2},"language":"python","widgets":{},"notebookOrigID":348675573032916}},"nbformat":4,"nbformat_minor":0}