ModelDataConfig

class aws_cdk.aws_sagemaker_alpha.ModelDataConfig(*, uri)

Bases: object

(experimental) The configuration needed to reference model artifacts.

Parameters:

uri (str) – (experimental) The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

Stability:

experimental

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_sagemaker_alpha as sagemaker_alpha

model_data_config = sagemaker_alpha.ModelDataConfig(
    uri="uri"
)

Attributes

uri

(experimental) The S3 path where the model artifacts, which result from model training, are stored.

This path must point to a single gzip compressed tar archive (.tar.gz suffix).

Stability:

experimental