Package: mlflow 2.14.1
Matei Zaharia
mlflow:Interface to 'MLflow'
R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Authors:
mlflow_2.14.1.tar.gz
mlflow_2.14.1.tar.gz(r-4.5-noble)mlflow_2.14.1.tar.gz(r-4.4-noble)
mlflow_2.14.1.tgz(r-4.4-emscripten)mlflow_2.14.1.tgz(r-4.3-emscripten)
mlflow.pdf |mlflow.html✨
mlflow/json (API)
| # Installmlflow in R: |
| install.packages('mlflow',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mlflow/mlflow/issues
Last updated 7 days agofrom:171c3b80c5
Exports:mlflow_clientmlflow_create_experimentmlflow_create_model_versionmlflow_create_registered_modelmlflow_delete_experimentmlflow_delete_model_versionmlflow_delete_registered_modelmlflow_delete_runmlflow_delete_tagmlflow_download_artifactsmlflow_end_runmlflow_get_experimentmlflow_get_latest_versionsmlflow_get_metric_historymlflow_get_model_versionmlflow_get_registered_modelmlflow_get_runmlflow_get_tracking_urimlflow_idmlflow_list_artifactsmlflow_load_flavormlflow_load_modelmlflow_log_artifactmlflow_log_batchmlflow_log_metricmlflow_log_modelmlflow_log_parammlflow_parammlflow_predictmlflow_register_external_observermlflow_rename_experimentmlflow_rename_registered_modelmlflow_restore_experimentmlflow_restore_runmlflow_rfunc_servemlflow_runmlflow_save_modelmlflow_search_experimentsmlflow_search_registered_modelsmlflow_search_runsmlflow_servermlflow_set_experimentmlflow_set_experiment_tagmlflow_set_model_version_tagmlflow_set_tagmlflow_set_tracking_urimlflow_sourcemlflow_start_runmlflow_transition_model_version_stagemlflow_uimlflow_update_model_versionmlflow_update_registered_model
Dependencies:askpassbase64encclicurlfansifastmapforgefsgit2rgluehttpuvhttrinijsonlitelaterlifecyclemagrittrmimeopensslpillarpkgconfigprocessxpromisespspurrrR6Rcpprlangswaggersystibbleutf8vctrswithryamlzeallot
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Get information from a Databricks job execution context | build_context_tags_from_databricks_job_info |
| Get information from Databricks Notebook environment | build_context_tags_from_databricks_notebook_info |
| Initialize an MLflow Client | mlflow_client |
| Create Experiment | mlflow_create_experiment |
| Create a model version | mlflow_create_model_version |
| Create registered model | mlflow_create_registered_model |
| Delete Experiment | mlflow_delete_experiment |
| Delete a model version | mlflow_delete_model_version |
| Delete registered model | mlflow_delete_registered_model |
| Delete a Run | mlflow_delete_run |
| Delete Tag | mlflow_delete_tag |
| Download Artifacts | mlflow_download_artifacts |
| End a Run | mlflow_end_run |
| Get Experiment | mlflow_get_experiment |
| Get latest model versions | mlflow_get_latest_versions |
| Get Metric History | mlflow_get_metric_history |
| Get a model version | mlflow_get_model_version |
| Get a registered model | mlflow_get_registered_model |
| Get Run | mlflow_get_run |
| Get Remote Tracking URI | mlflow_get_tracking_uri |
| Get Run or Experiment ID | mlflow_id mlflow_id.mlflow_experiment mlflow_id.mlflow_run |
| List Artifacts | mlflow_list_artifacts |
| Load MLflow Model Flavor | mlflow_load_flavor |
| Load MLflow Model | mlflow_load_model |
| Log Artifact | mlflow_log_artifact |
| Log Batch | mlflow_log_batch |
| Log Metric | mlflow_log_metric |
| Log Model | mlflow_log_model |
| Log Parameter | mlflow_log_param |
| Read Command-Line Parameter | mlflow_param |
| Generate Prediction with MLflow Model | mlflow_predict |
| Register an external MLflow observer | mlflow_register_external_observer |
| Rename Experiment | mlflow_rename_experiment |
| Rename a registered model | mlflow_rename_registered_model |
| Restore Experiment | mlflow_restore_experiment |
| Restore a Run | mlflow_restore_run |
| Serve an RFunc MLflow Model | mlflow_rfunc_serve |
| Run an MLflow Project | mlflow_run |
| Save Model for MLflow | mlflow_save_model mlflow_save_model.crate mlflow_save_model.H2OModel mlflow_save_model.keras.engine.training.Model mlflow_save_model.xgb.Booster |
| Search Experiments | mlflow_search_experiments |
| List registered models | mlflow_search_registered_models |
| Search Runs | mlflow_search_runs |
| Run MLflow Tracking Server | mlflow_server |
| Set Experiment | mlflow_set_experiment |
| Set Experiment Tag | mlflow_set_experiment_tag |
| Set Model version tag | mlflow_set_model_version_tag |
| Set Tag | mlflow_set_tag |
| Set Remote Tracking URI | mlflow_set_tracking_uri |
| Start Run | mlflow_start_run |
| Transition ModelVersion Stage | mlflow_transition_model_version_stage |
| Run MLflow User Interface | mlflow_ui |
| Update model version | mlflow_update_model_version |
| Update a registered model | mlflow_update_registered_model |
