ModelArtifacts
Provides 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.
Contents
- S3ModelArtifacts
-
The path of the S3 object that contains the model artifacts. For example,
s3://bucket-name/keynameprefix/model.tar.gz.Type: String
Length Constraints: Minimum length of 0. Maximum length of 1024.
Pattern:
(https|s3)://([^/]+)/?(.*)Required: Yes
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
