Interface to 'MLflow'

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Documentation for package ‘mlflow’ version 2.14.1

• DESCRIPTION file.

Help Pages

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