{"library":"databricks-automl-runtime","type":"library","category":null,"description":"The Databricks AutoML Runtime package provides utilities and custom transformers designed to integrate with Databricks AutoML, particularly for time series and other specialized machine learning tasks. It offers custom scikit-learn compatible transformers, hyperparameter tuning wrappers for models like Prophet and pmdarima, and MLflow logging integrations. The current version is 0.2.21, and it has a moderate release cadence, often addressing compatibility or bug fixes.","language":"python","status":"active","version":"0.2.21","tags":["databricks","automl","mlflow","machine-learning","time-series","sklearn-compatible"],"last_verified":"Tue May 26","install":[{"cmd":"pip install databricks-automl-runtime","imports":["from automl_runtime.sklearn.date_time_transformers import DateTransformer","from automl_runtime.hyperopt.prophet_hyperopt_estimator import ProphetHyperoptEstimator","from automl_runtime.hyperopt.arima_hyperopt_estimator import ArimaHyperoptEstimator"]},{"cmd":"pip install databricks-automl-runtime[prophet]","imports":[]},{"cmd":"pip install databricks-automl-runtime[pmdarima]","imports":[]}],"homepage":"https://www.databricks.com","github":"https://github.com/databricks/automl","docs":null,"changelog":null,"pypi":"https://pypi.org/project/databricks-automl-runtime/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/databricks-automl-runtime/compatibility"}}