Logs an specific file or directory as an artifact.
mlflow_log_artifact(path, artifact_path = NULL)The file or directory to log as an artifact.
Destination path within the run<U+2019>s artifact URI.
The fluent API family of functions operate with an implied MLflow client determined by the service set by `mlflow_set_tracking_uri()`. For operations involving a run it adopts the current active run, or, if one does not exist, starts one through the implied service.
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 Fluent API functions: mlflow_create_experiment,
mlflow_end_run,
mlflow_log_metric,
mlflow_log_param,
mlflow_set_experiment,
mlflow_set_tag,
mlflow_start_run