Struct aws_sdk_sagemaker::types::builders::ClarifyShapConfigBuilder

#[non_exhaustive]
pub struct ClarifyShapConfigBuilder { /* private fields */ }

A builder for ClarifyShapConfig.

Implementations

impl ClarifyShapConfigBuilder

pub fn shap_baseline_config(self, input: ClarifyShapBaselineConfig) -> Self

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

pub fn set_shap_baseline_config( self, input: Option<ClarifyShapBaselineConfig> ) -> Self

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

pub fn number_of_samples(self, input: i32) -> Self

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

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.

pub fn set_number_of_samples(self, input: Option<i32>) -> Self

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

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.

pub fn use_logit(self, input: bool) -> Self

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.

pub fn set_use_logit(self, input: Option<bool>) -> Self

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.

pub fn seed(self, input: i32) -> Self

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.

pub fn set_seed(self, input: Option<i32>) -> Self

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.

pub fn text_config(self, input: ClarifyTextConfig) -> Self

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.

pub fn set_text_config(self, input: Option<ClarifyTextConfig>) -> Self

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.

pub fn build(self) -> ClarifyShapConfig

Consumes the builder and constructs a ClarifyShapConfig.

Trait Implementations

impl Clone for ClarifyShapConfigBuilder

fn clone(&self) -> ClarifyShapConfigBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ClarifyShapConfigBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ClarifyShapConfigBuilder

fn default() -> ClarifyShapConfigBuilder

Returns the “default value” for a type.

impl PartialEq<ClarifyShapConfigBuilder> for ClarifyShapConfigBuilder

fn eq(&self, other: &ClarifyShapConfigBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ClarifyShapConfigBuilder