Logs a specific file or directory as an artifact for this run.
mlflow_log_artifact(path, artifact_path = NULL)The file or directory to log as an artifact.
Destination path within the run'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 attached 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.