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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: | 2.17.2 |
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: | 2024-10-31 |
DOI: | 10.32614/CRAN.package.mlflow |
Author: | Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut], RStudio [cph] |
Maintainer: | Matei Zaharia <matei 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 |
Reference manual: | mlflow.pdf |
Package source: | mlflow_2.17.2.tar.gz |
Windows binaries: | r-devel: mlflow_2.17.2.zip, r-release: mlflow_2.17.2.zip, r-oldrel: mlflow_2.17.2.zip |
macOS binaries: | r-release (arm64): mlflow_2.17.2.tgz, r-oldrel (arm64): mlflow_2.17.2.tgz, r-release (x86_64): mlflow_2.17.2.tgz, r-oldrel (x86_64): mlflow_2.17.2.tgz |
Old sources: | mlflow archive |
Reverse suggests: | mlr3tuning |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.