sagemaker/aws.sdk.kotlin.services.sagemaker.model/ClarifyShapConfig/Builder

Builder

Properties

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

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.

shapBaselineConfig

var shapBaselineConfig: ClarifyShapBaselineConfig?

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

textConfig

var textConfig: ClarifyTextConfig?

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.

useLogit

var useLogit: Boolean?

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.

Functions

shapBaselineConfig

fun shapBaselineConfig(block: ClarifyShapBaselineConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.ClarifyShapBaselineConfig inside the given block

textConfig

fun textConfig(block: ClarifyTextConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.ClarifyTextConfig inside the given block