Interface to 'MLflow' [R package mlflow version 3.6.0]

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.

Version: 3.6.0

Depends: R (≥ 3.3.0)

Imports: base64enc, fs, git2r, glue, httpuv, httr, ini, jsonlite, openssl, processx, purrr, rlang (≥ 0.2.0), swagger, tibble (≥ 2.0.0), withr, yaml, zeallot

Suggests: carrier, covr, h2o, keras, lintr, sparklyr, stringi, testthat (≥ 2.0.0), reticulate, xgboost

Published: 2025年11月14日

DOI: 10.32614/CRAN.package.mlflow

Author: Ben Wilson [aut, cre], Matei Zaharia [aut], Javier Luraschi [aut], Kevin Kuo ORCID iD [aut], RStudio [cph]

Maintainer: Ben Wilson <benjamin.wilson at databricks.com>

BugReports: https://github.com/mlflow/mlflow/issues

License: Apache License 2.0

URL: https://github.com/mlflow/mlflow

NeedsCompilation: no

Materials: README

CRAN checks: mlflow results

Documentation:

Reference manual: mlflow.html , mlflow.pdf

Downloads:

Package source: mlflow_3.6.0.tar.gz

Windows binaries: r-devel: mlflow_3.6.0.zip, r-release: mlflow_3.6.0.zip, r-oldrel: mlflow_3.6.0.zip

macOS binaries: r-release (arm64): mlflow_3.5.1.tgz, r-oldrel (arm64): mlflow_3.5.1.tgz, r-release (x86_64): mlflow_3.6.0.tgz, r-oldrel (x86_64): mlflow_3.6.0.tgz

Old sources: mlflow archive

Reverse dependencies:

Reverse suggests: mlr3tuning

Linking:

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