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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:2025-11-14
DOI:10.32614/CRAN.package.mlflow
Author:Ben Wilson [aut, cre], Matei Zaharia [aut], Javier Luraschi [aut], Kevin KuoORCID 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_3.6.0.tgz, r-oldrel (arm64):mlflow_3.6.0.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:

Please use the canonical formhttps://CRAN.R-project.org/package=mlflowto link to this page.


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