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 |
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 |
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_0.8.0.tgz |
Old sources: | mlflow archive |
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