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: |
1.27.0 |
| 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, yaml, zeallot |
| Suggests: |
carrier, covr, h2o, keras, lintr, sparklyr, stringi (<
1.4.4), testthat (≥ 2.0.0), xgboost |
| Published: |
2022-08-10 |
| 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 |