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:	1.14.1
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:	2021-03-02
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

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