Logs an specific file or directory as an artifact.
mlflow_client_log_artifact(client, run_id, path, artifact_path = NULL)An `mlflow_client` object.
Run ID.
The file or directory to log as an artifact.
Destination path within the run<U+2019>s artifact URI.
The Tracking Client family of functions require an MLflow client to be specified explicitly. These functions allow for greater control of where the operations take place in terms of services and runs, but are more verbose compared to the Fluent API.
When logging to Amazon S3, ensure that the user has a proper policy attach to it, for instance:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "VisualEditor0",
"Effect": "Allow",
"Action": [
"s3:PutObject",
"s3:GetObject",
"s3:ListBucket",
"s3:GetBucketLocation"
],
"Resource": [
"arn:aws:s3:::mlflow-test/*",
"arn:aws:s3:::mlflow-test"
]
}
]
}
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.
Other Tracking client functions: mlflow_client_create_experiment,
mlflow_client_create_run,
mlflow_client_delete_experiment,
mlflow_client_delete_run,
mlflow_client_download_artifacts,
mlflow_client_get_experiment_by_name,
mlflow_client_get_experiment,
mlflow_client_get_run,
mlflow_client_list_artifacts,
mlflow_client_list_experiments,
mlflow_client_log_metric,
mlflow_client_log_param,
mlflow_client_restore_experiment,
mlflow_client_restore_run,
mlflow_client_set_tag,
mlflow_client_set_terminated