API Reference

AutoAnomalyModel([name])	Automated anomaly detection orchestrator.
AutoClusteringModel([name, n_clusters])	Automated clustering orchestrator.
AutoMLModel([name])	AutoML orchestrator.
AutoTSModel([name, feature_window, ...])	AutoTS orchestrator.
BlueprintConverter()
ColumnReduceModel(base_model[, ...])	Column reduction orchestrator.
Deployment([deployment_id])	DataRobot ML Ops deployment.
deploy(model, *args[, target_type, target, ...])	Deploy a model to MLOps.
evaluate(model[, evaluation_data, ...])	Show evaluation metrics and plots for a model.
downsample_spark(spark_df[, ...])	Downsample Spark dataframe for DataRobot.
FeatureDiscoveryModel(base_model[, remove_udfs])	Feature discovery orchestrator.
Model([project_id, model_id])	DataRobot training model.
Relationship(X, keys[, temporal_key, ...])	Secondary dataset relationship definition.
SelfDiscoveryModel(base_model[, feature_windows])	Self-join feature discovery orchestrator.
share(any, emails)	Shares a drx object with other users.
SparkIngestModel(base_model[, dataset_name, ...])	Train on a Spark dataframe.
spark_to_ai_catalog(spark_df, name[, max_rows])	Upload Spark dataframe to AI Catalog.

Configuration

• Additional information on how configuration classes can be used in drx can be found here

• Reference for drx classes used to configure DataRobot can be found here