v1.4.0
Added
- A new pipeline to deploy AWS SageMaker Model Quality Monitor. The new pipeline monitors the performance of a deployed model by comparing the
predictions that the model makes with the actual ground truth labels that the model attempts to predict.
Updated
- The Model Monitor pipeline's API call. Now, the Model Monitor pipeline is split into two pipelines, Data Quality Monitor pipeline, and Model Quality Monitor pipeline.
- The format of CloudFormation templates parameters' names from
PARAMETERNAME
toParameterName
. - The APIs of the Realtime Inference pipeline to support passing an optional custom endpoint name.
- The data quality baseline's Lambda to use AWS SageMaker SDK to create the baseline, instead of using Boto3.
- AWS Cloud Development Kit (AWS CDK) and AWS Solutions Constructs to version 1.117.0.
Refer to changelog for more information.