mlflow_log_artifact {mlflow}

Log Artifact

Description

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

Usage

mlflow_log_artifact(path, artifact_path = NULL, run_id = NULL, client = NULL)

Arguments

path

The file or directory to log as an artifact.

artifact_path

Destination path within the run's artifact URI.

run_id

Run ID.

client

(Optional) An MLflow client object returned from mlflow_client. 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.

Details

When logging to Amazon S3, ensure that you have the s3:PutObject, s3:GetObject, s3:ListBucket, and s3:GetBucketLocation permissions on your bucket.

Additionally, at least the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables must be set to the corresponding key and secrets provided by Amazon IAM.