Log Artifact
Logs a specific file or directory as an artifact for a run.
mlflow_log_artifact(path, artifact_path = NULL, run_id = NULL, client = NULL)
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. |
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.
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