mlflow_set_experiment_tag

Name of the tag. All storage backends are guaranteed to support
key values up to 250 bytes in size. This field is required.

String value of the tag being logged. All storage backends are
guaranteed to support key values up to 5000 bytes in size. This field is required.

value

experiment_id

(Optional) An MLflow client object returned from <a rd-options="mlflow" href="/link/mlflow_client?package=mlflow&version=1.9.0&to=mlflow" data-mini-rdoc="mlflow::mlflow_client">mlflow_client</a>.
If specified, MLflow will use the tracking server associated with the passed-in client. If
unspecified (the common case),
MLflow will use the tracking server associated with the current tracking URI.

client

Sets a tag on an experiment with the specified ID. Tags are experiment metadata that can be updated.

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.

Matei Zaharia

mlflow

Interface to 'MLflow'

Javier Luraschi

Kevin Kuo

 RStudio

mlflow_set_experiment_tag function

(Optional) An MLflow client object returned from <a rd-options='mlflow' href='mlflow_client'>mlflow_client</a>.
If specified, MLflow will use the tracking server associated with the passed-in client. If
unspecified (the common case),
MLflow will use the tracking server associated with the current tracking URI.

mlflow_set_experiment_tag: Set Experiment Tag

Description

Usage

Arguments