AWS::SageMaker::EndpointConfig ClarifyShapConfig - AWS CloudFormation

AWS::SageMaker::EndpointConfig ClarifyShapConfig

The configuration for SHAP analysis using SageMaker Clarify Explainer.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

Properties

NumberOfSamples

The number of samples to be used for analysis by the Kernal SHAP algorithm.

Note

The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.

Required: No

Type: Integer

Minimum: 1

Update requires: Replacement

Seed

The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.

Required: No

Type: Integer

Update requires: Replacement

ShapBaselineConfig

The configuration for the SHAP baseline of the Kernal SHAP algorithm.

Required: Yes

Type: ClarifyShapBaselineConfig

Update requires: Replacement

TextConfig

A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.

Required: No

Type: ClarifyTextConfig

Update requires: Replacement

UseLogit

A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.

Required: No

Type: Boolean

Update requires: Replacement