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: 0.9.0.1
Depends: R (≥ 3.3.0)
Imports: base64enc, forge, fs, git2r, httpuv, httr, ini, jsonlite, openssl, processx, reticulate, packrat, purrr, swagger, withr, xml2, yaml, pryr, rlang (≥ 0.2.0)
Suggests: covr, keras, lintr, testthat
Published: 2019-04-14
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
SystemRequirements: MLflow (https://www.mlflow.org/)
Materials: README
CRAN checks: mlflow results

Downloads:

Reference manual: mlflow.pdf
Package source: mlflow_0.9.0.1.tar.gz
Windows binaries: r-devel: mlflow_0.9.0.1.zip, r-release: mlflow_0.9.0.1.zip, r-oldrel: mlflow_0.9.0.1.zip
OS X binaries: r-release: mlflow_0.9.0.1.tgz, r-oldrel: mlflow_0.9.0.1.tgz
Old sources: mlflow archive

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