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
ColumnReduceModel(base_model[, ...])	Column reduction orchestrator
Deployment([deployment_id])	DataRobot ML Ops deployment
deploy(model, *args[, target, classes, ...])	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