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_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.crate
                        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
