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

ClarifyShapConfig

class ClarifyShapConfig

The configuration for SHAP analysis using SageMaker Clarify Explainer.

Types

Builder

class Builder

Companion

object Companion

Properties

numberOfSamples

val numberOfSamples: Int?

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

seed

val seed: Int?

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

val shapBaselineConfig: ClarifyShapBaselineConfig?

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

textConfig

val 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

val 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

copy

inline fun copy(block: ClarifyShapConfig.Builder.() -> Unit = {}): ClarifyShapConfig

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String