mlflow: Interface to 'MLflow'

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.

Version: 2.14.1
Depends: R (≥ 3.3.0)
Imports: base64enc, forge, 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: 2024-06-28
DOI: 10.32614/CRAN.package.mlflow
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo ORCID iD [aut], RStudio [cph]
Maintainer: Matei Zaharia <matei at>
License: Apache License 2.0
NeedsCompilation: no
Materials: README
CRAN checks: mlflow results


Reference manual: mlflow.pdf


Package source: mlflow_2.14.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlflow_2.14.1.tgz, r-oldrel (arm64): mlflow_2.14.1.tgz, r-release (x86_64): mlflow_2.14.1.tgz, r-oldrel (x86_64): mlflow_2.14.1.tgz
Old sources: mlflow archive

Reverse dependencies:

Reverse suggests: mlr3tuning


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