Class: Aws::SageMaker::Types::ClarifyShapConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ClarifyShapConfig

Defined in:

gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

The configuration for SHAP analysis using SageMaker Clarify Explainer.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #number_of_samples ⇒ Integer

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

• #seed ⇒ Integer

  The starting value used to initialize the random number generator in the explainer.

• #shap_baseline_config ⇒ Types::ClarifyShapBaselineConfig

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

• #text_config ⇒ Types::ClarifyTextConfig

  A parameter that indicates if text features are treated as text and explanations are provided for individual units of text.

• #use_logit ⇒ Boolean

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

Instance Attribute Details

#number_of_samples ⇒ Integer

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.

Returns:

• (Integer)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 4107

class ClarifyShapConfig < Struct.new(
  :shap_baseline_config,
  :number_of_samples,
  :use_logit,
  :seed,
  :text_config)
  SENSITIVE = []
  include Aws::Structure
end

#seed ⇒ Integer

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.

Returns:

• (Integer)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 4107

class ClarifyShapConfig < Struct.new(
  :shap_baseline_config,
  :number_of_samples,
  :use_logit,
  :seed,
  :text_config)
  SENSITIVE = []
  include Aws::Structure
end

#shap_baseline_config ⇒ Types::ClarifyShapBaselineConfig

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

Returns:

• (Types::ClarifyShapBaselineConfig)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 4107

class ClarifyShapConfig < Struct.new(
  :shap_baseline_config,
  :number_of_samples,
  :use_logit,
  :seed,
  :text_config)
  SENSITIVE = []
  include Aws::Structure
end

#text_config ⇒ Types::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.

Returns:

• (Types::ClarifyTextConfig)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 4107

class ClarifyShapConfig < Struct.new(
  :shap_baseline_config,
  :number_of_samples,
  :use_logit,
  :seed,
  :text_config)
  SENSITIVE = []
  include Aws::Structure
end

#use_logit ⇒ 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.

Returns:

• (Boolean)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 4107

class ClarifyShapConfig < Struct.new(
  :shap_baseline_config,
  :number_of_samples,
  :use_logit,
  :seed,
  :text_config)
  SENSITIVE = []
  include Aws::Structure
end