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DESCRIPTION
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DESCRIPTION
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Type: Package
Package: mlflow
Title: Interface to 'MLflow'
Version: 1.22.1
Authors@R:
c(person(given = "Matei",
family = "Zaharia",
role = c("aut", "cre"),
email = "matei@databricks.com"),
person(given = "Javier",
family = "Luraschi",
role = "aut",
email = "jluraschi@gmail.com"),
person(given = "Kevin",
family = "Kuo",
role = "aut",
email = "kevin.kuo@rstudio.com",
comment = c(ORCID = "0000-0001-7803-7901")),
person(family = "RStudio",
role = "cph"))
Maintainer: Matei Zaharia <matei@databricks.com>
Description: 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.
License: Apache License 2.0
URL: https://github.com/mlflow/mlflow
BugReports: https://github.com/mlflow/mlflow/issues
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,
sparklyr,
stringi (< 1.4.4),
testthat (>= 2.0.0),
xgboost
Encoding: UTF-8
RoxygenNote: 7.1.2
Collate:
'cli.R'
'databricks-utils.R'
'globals.R'
'imports.R'
'install.R'
'logging.R'
'mlflow-package.R'
'model-crate.R'
'model-python.R'
'model.R'
'model-utils.R'
'model-h2o.R'
'model-keras.R'
'model-registry.R'
'model-serve.R'
'model-swagger.R'
'model-xgboost.R'
'project-param.R'
'project-run.R'
'project-source.R'
'python.R'
'tracking-client.R'
'tracking-experiments.R'
'tracking-observer.R'
'tracking-globals.R'
'tracking-rest.R'
'tracking-runs.R'
'tracking-server.R'
'tracking-ui.R'
'tracking-utils.R'