R: Interface to 'MLflow'

# Interface to 'MLflow'

## Documentation for package ‘mlflow’ version 3.10.1

- DESCRIPTION file
- Package README

## 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