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 [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

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