Values_1.ModelArtifactsSourceProvides information about the location that is configured for storing model artifacts. Model artifacts are outputs that result from training a model. They typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata. A SageMaker container stores your trained model artifacts in the /opt/ml/model directory. After training has completed, by default, these artifacts are uploaded to your Amazon S3 bucket as compressed files.
type nonrec t = {s3ModelArtifacts : Values_0.S3Uri.t option;The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.
*)}