build_context_tags_from_databricks_job_info |
Get information from a Databricks job execution context |
build_context_tags_from_databricks_notebook_info |
Get information from Databricks Notebook environment |
mlflow_client |
Initialize an MLflow Client |
mlflow_create_experiment |
Create Experiment |
mlflow_create_model_version |
Create a model version |
mlflow_create_registered_model |
Create registered model |
mlflow_delete_experiment |
Delete Experiment |
mlflow_delete_model_version |
Delete a model version |
mlflow_delete_registered_model |
Delete registered model |
mlflow_delete_run |
Delete a Run |
mlflow_delete_tag |
Delete Tag |
mlflow_download_artifacts |
Download Artifacts |
mlflow_end_run |
End a Run |
mlflow_get_experiment |
Get Experiment |
mlflow_get_latest_versions |
Get latest model versions |
mlflow_get_metric_history |
Get Metric History |
mlflow_get_model_version |
Get a model version |
mlflow_get_registered_model |
Get a registered model |
mlflow_get_run |
Get Run |
mlflow_get_tracking_uri |
Get Remote Tracking URI |
mlflow_id |
Get Run or Experiment ID |
mlflow_id.mlflow_experiment |
Get Run or Experiment ID |
mlflow_id.mlflow_run |
Get Run or Experiment ID |
mlflow_list_artifacts |
List Artifacts |
mlflow_load_flavor |
Load MLflow Model Flavor |
mlflow_load_model |
Load MLflow Model |
mlflow_log_artifact |
Log Artifact |
mlflow_log_batch |
Log Batch |
mlflow_log_metric |
Log Metric |
mlflow_log_model |
Log Model |
mlflow_log_param |
Log Parameter |
mlflow_param |
Read Command-Line Parameter |
mlflow_predict |
Generate Prediction with MLflow Model |
mlflow_register_external_observer |
Register an external MLflow observer |
mlflow_rename_experiment |
Rename Experiment |
mlflow_rename_registered_model |
Rename a registered model |
mlflow_restore_experiment |
Restore Experiment |
mlflow_restore_run |
Restore a Run |
mlflow_rfunc_serve |
Serve an RFunc MLflow Model |
mlflow_run |
Run an MLflow Project |
mlflow_save_model |
Save Model for MLflow |
mlflow_save_model.crate |
Save Model for MLflow |
mlflow_save_model.H2OModel |
Save Model for MLflow |
mlflow_save_model.keras.engine.training.Model |
Save Model for MLflow |
mlflow_save_model.xgb.Booster |
Save Model for MLflow |
mlflow_search_experiments |
Search Experiments |
mlflow_search_registered_models |
List registered models |
mlflow_search_runs |
Search Runs |
mlflow_server |
Run MLflow Tracking Server |
mlflow_set_experiment |
Set Experiment |
mlflow_set_experiment_tag |
Set Experiment Tag |
mlflow_set_model_version_tag |
Set Model version tag |
mlflow_set_tag |
Set Tag |
mlflow_set_tracking_uri |
Set Remote Tracking URI |
mlflow_start_run |
Start Run |
mlflow_transition_model_version_stage |
Transition ModelVersion Stage |
mlflow_ui |
Run MLflow User Interface |
mlflow_update_model_version |
Update model version |
mlflow_update_registered_model |
Update a registered model |