mlflow_log_artifact

The file or directory to log as an artifact.

path

Destination path within the run's artifact URI.

artifact_path

run_id

(Optional) An MLflow client object returned from <a rd-options="mlflow" href="/link/mlflow_client?package=mlflow&version=1.0.0&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

Logs a specific file or directory as an artifact for a run.

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_log_artifact 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_log_artifact: Log Artifact

Description

Usage

Arguments

Details