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mlflow
Interface to 'MLflow'
View on CRAN: Click
here
Download and install mlflow package within the R console
Install from CRAN:
install.packages("mlflow")
Install from Github:
library("remotes")
install_github("cran/mlflow") Install by package version:
library("remotes")
install_version("mlflow", "2.19.0") Attach the package and use:
library("mlflow")
Maintained by
Matei Zaharia
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
https://mlflow.org/ . 10.32614/CRAN.package.mlflow . https://github.com/mlflow/mlflow/issues . https://github.com/mlflow/mlflow . mlflow results . mlflow.pdf . mlflow_2.21.3.tar.gz . mlflow_2.21.2.zip . mlflow_2.21.3.zip . mlflow_2.21.2.zip . mlflow_2.21.3.tgz . mlflow_2.21.3.tgz . mlflow_2.21.3.tgz . mlflow_2.21.3.tgz . mlflow_2.21.3.tgz . mlflow_2.21.3.tgz . mlflow archive . https://CRAN.R-project.org/package=mlflow .
First Published: 2018-10-06
Latest Update: 2024-02-16
Description:
R interface to 'MLflow', open source platform for
the complete machine learning life cycle, see .
This package supports installing 'MLflow', tracking experiments,
creating and running projects, and saving and serving models.
How to cite:
Matei Zaharia (2018). mlflow: Interface to 'MLflow'. R package version 2.19.0, https://cran.r-project.org/web/packages/mlflow. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.7.0 (2018-10-06 23:30), 0.8.0 (2018-11-12 23:00), 0.9.0.1 (2019-04-14 07:12), 0.9.0 (2019-03-28 19:30), 1.0.0 (2019-06-06 09:50), 1.1.0 (2019-07-23 18:52), 1.2.0 (2019-08-19 22:40), 1.3.0 (2019-10-01 19:30), 1.4.0 (2019-10-31 06:50), 1.5.0 (2019-12-20 07:00), 1.6.0 (2020-01-30 06:50), 1.7.0 (2020-03-03 07:00), 1.8.0 (2020-04-22 07:00), 1.9.0 (2020-06-22 21:40), 1.10.0 (2020-07-21 20:20), 1.12.0 (2020-11-12 06:20), 1.12.1 (2020-11-19 14:30), 1.13.1 (2021-01-06 08:20), 1.14.0 (2021-02-20 09:00), 1.14.1 (2021-03-02 06:40), 1.15.0 (2021-03-28 07:40), 1.16.0 (2021-04-27 07:00), 1.17.0 (2021-05-09 01:40), 1.18.0 (2021-06-18 15:50), 1.19.0 (2021-07-14 17:10), 1.20.1 (2021-09-02 19:10), 1.20.2 (2021-09-06 10:50), 1.21.0 (2021-11-11 07:20), 1.22.0 (2021-12-07 07:20), 1.23.0 (2022-01-25 10:52), 1.24.0 (2022-03-08 11:50), 1.25.1 (2022-04-20 18:52), 1.26.0 (2022-05-24 04:20), 1.26.1 (2022-06-14 04:30), 1.27.0 (2022-08-10 08:20), 1.28.0 (2022-08-22 08:20), 1.29.0 (2022-09-29 01:40), 1.30.0 (2022-10-27 17:12), 2.0.1 (2022-11-21 18:50), 2.1.1 (2023-01-16 09:00), 2.1.2 (2023-03-14 07:40), 2.2.2 (2023-03-16 02:20), 2.3.2 (2023-05-20 02:00), 2.4.1 (2023-06-13 06:30), 2.5.0 (2023-08-07 18:10), 2.6.0 (2023-08-23 02:10), 2.7.1 (2023-09-28 04:30), 2.8.0 (2023-11-05 18:10), 2.8.1 (2023-11-23 04:20), 2.9.2 (2023-12-21 04:10), 2.10.0 (2024-02-02 06:20), 2.10.2 (2024-02-16 07:30), 2.11.1 (2024-03-14 02:10), 2.12.2 (2024-05-16 18:50), 2.13.1 (2024-05-31 05:50), 2.14.1 (2024-06-28 22:40), 2.16.2 (2024-09-24 06:30), 2.17.2 (2024-10-31 18:50), 2.18.0 (2024-11-25 06:00), 2.19.0 (2024-12-18 17:40), 2.20.4 (2025-03-15 05:30), 2.21.2 (2025-04-02 18:50)
Other packages that cited mlflow R package
View mlflow citation profile
Other R packages that mlflow depends,
imports, suggests or enhances
Complete documentation for mlflow
Functions, R codes and Examples using
the mlflow R package
Some associated functions: build_context_tags_from_databricks_job_info . build_context_tags_from_databricks_notebook_info . mlflow-package . mlflow_client . mlflow_create_experiment . mlflow_create_model_version . mlflow_create_registered_model . mlflow_delete_experiment . mlflow_delete_model_version . mlflow_delete_registered_model . mlflow_delete_run . mlflow_delete_tag . mlflow_download_artifacts . mlflow_end_run . mlflow_get_experiment . mlflow_get_latest_versions . mlflow_get_metric_history . mlflow_get_model_version . mlflow_get_registered_model . mlflow_get_run . mlflow_get_tracking_uri . mlflow_id . mlflow_list_artifacts . mlflow_load_flavor . mlflow_load_model . mlflow_log_artifact . mlflow_log_batch . mlflow_log_metric . mlflow_log_model . mlflow_log_param . mlflow_param . mlflow_predict . mlflow_register_external_observer . mlflow_rename_experiment . mlflow_rename_registered_model . mlflow_restore_experiment . mlflow_restore_run . mlflow_rfunc_serve . mlflow_run . mlflow_save_model . mlflow_search_experiments . mlflow_search_registered_models . mlflow_search_runs . mlflow_server . mlflow_set_experiment . mlflow_set_experiment_tag . mlflow_set_model_version_tag . mlflow_set_tag . mlflow_set_tracking_uri . mlflow_source . mlflow_start_run . mlflow_transition_model_version_stage . mlflow_ui . mlflow_update_model_version . mlflow_update_registered_model . reexports .
Some associated R codes: cli.R . databricks-utils.R . globals.R . imports.R . logging.R . mlflow-package.R . model-crate.R . model-h2o.R . model-keras.R . model-python.R . model-registry.R . model-serve.R . model-swagger.R . model-utils.R . model-xgboost.R . model.R . project-param.R . project-run.R . project-source.R . python.R . tracking-client.R . tracking-experiments.R . tracking-globals.R . tracking-observer.R . tracking-rest.R . tracking-runs.R . tracking-server.R . tracking-ui.R . tracking-utils.R . Full mlflow package functions and examples
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