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: 1.14.0
Depends: R (≥ 3.3.0)
Imports: base64enc, forge, fs, git2r, glue, httpuv, httr, ini, jsonlite, openssl, processx, purrr, reticulate, rlang (≥ 0.2.0), swagger, tibble (≥ 2.0.0), withr, xml2, yaml, zeallot
Suggests: carrier, covr, h2o, keras, lintr, mleap, sparklyr, stringi (< 1.4.4), testthat (≥ 2.0.0), xgboost
Published: 2021-02-20
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo ORCID iD [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

Downloads:

Reference manual: mlflow.pdf
Package source: mlflow_1.14.0.tar.gz
Windows binaries: r-devel: mlflow_1.14.0.zip, r-release: mlflow_1.13.1.zip, r-oldrel: mlflow_1.13.1.zip
macOS binaries: r-release: mlflow_1.14.0.tgz, r-oldrel: mlflow_1.13.1.tgz
Old sources: mlflow archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlflow to link to this page.