Struct aws_sdk_sagemaker::types::builders::ClarifyShapConfigBuilder
source · #[non_exhaustive]pub struct ClarifyShapConfigBuilder { /* private fields */ }
Expand description
A builder for ClarifyShapConfig
.
Implementations§
source§impl ClarifyShapConfigBuilder
impl ClarifyShapConfigBuilder
sourcepub fn shap_baseline_config(self, input: ClarifyShapBaselineConfig) -> Self
pub fn shap_baseline_config(self, input: ClarifyShapBaselineConfig) -> Self
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
This field is required.sourcepub fn set_shap_baseline_config(
self,
input: Option<ClarifyShapBaselineConfig>
) -> Self
pub fn set_shap_baseline_config( self, input: Option<ClarifyShapBaselineConfig> ) -> Self
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
sourcepub fn get_shap_baseline_config(&self) -> &Option<ClarifyShapBaselineConfig>
pub fn get_shap_baseline_config(&self) -> &Option<ClarifyShapBaselineConfig>
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
sourcepub fn number_of_samples(self, input: i32) -> Self
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.
sourcepub fn set_number_of_samples(self, input: Option<i32>) -> Self
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.
sourcepub fn get_number_of_samples(&self) -> &Option<i32>
pub fn get_number_of_samples(&self) -> &Option<i32>
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.
sourcepub fn use_logit(self, input: bool) -> Self
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.
sourcepub fn set_use_logit(self, input: Option<bool>) -> Self
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.
sourcepub fn get_use_logit(&self) -> &Option<bool>
pub fn get_use_logit(&self) -> &Option<bool>
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.
sourcepub fn seed(self, input: i32) -> Self
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.
sourcepub fn set_seed(self, input: Option<i32>) -> Self
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.
sourcepub fn get_seed(&self) -> &Option<i32>
pub fn get_seed(&self) -> &Option<i32>
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.
sourcepub fn text_config(self, input: ClarifyTextConfig) -> Self
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.
sourcepub fn set_text_config(self, input: Option<ClarifyTextConfig>) -> Self
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.
sourcepub fn get_text_config(&self) -> &Option<ClarifyTextConfig>
pub fn get_text_config(&self) -> &Option<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.
sourcepub fn build(self) -> ClarifyShapConfig
pub fn build(self) -> ClarifyShapConfig
Consumes the builder and constructs a ClarifyShapConfig
.
Trait Implementations§
source§impl Clone for ClarifyShapConfigBuilder
impl Clone for ClarifyShapConfigBuilder
source§fn clone(&self) -> ClarifyShapConfigBuilder
fn clone(&self) -> ClarifyShapConfigBuilder
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for ClarifyShapConfigBuilder
impl Debug for ClarifyShapConfigBuilder
source§impl Default for ClarifyShapConfigBuilder
impl Default for ClarifyShapConfigBuilder
source§fn default() -> ClarifyShapConfigBuilder
fn default() -> ClarifyShapConfigBuilder
source§impl PartialEq for ClarifyShapConfigBuilder
impl PartialEq for ClarifyShapConfigBuilder
source§fn eq(&self, other: &ClarifyShapConfigBuilder) -> bool
fn eq(&self, other: &ClarifyShapConfigBuilder) -> bool
self
and other
values to be equal, and is used
by ==
.