Consume

Abstractions for consuming machine learning model outputs for both validation and use.

Evaluate

Evaluate DataRobot models PROTOTYPE

evaluate(model)
evaluate(model, evaluation_data=df)

Predict

Make predictions on any model in a project or deployment

preds = model.predict(df)
deployment_preds = deployment.predict(df, max_explanations=3)

Deploy

Deploy custom models to ML Ops PROTOTYPE

deployed = deploy(my_estimator,
                  target='readmitted',
                  classes=['True', 'False'])
predictions = deployed.predict(df)

Convert Blueprints to Open Source

Convert exported DataRobot Blueprint JSON representation to SKlearn compatible pipelines PROTOTYPE

BlueprintConverter.convert(blueprint_json)