Class: Aws::SageMaker::Types::ClarifyShapConfig
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::ClarifyShapConfig
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
The configuration for SHAP analysis using SageMaker Clarify Explainer.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#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.
<note markdown=“1”> 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].
</note>
[1]: docs.aws.amazon.com/sagemaker/latest/dg/clarify-online-explainability-create-endpoint.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 3867 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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 3867 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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 3867 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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 3867 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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 3867 class ClarifyShapConfig < Struct.new( :shap_baseline_config, :number_of_samples, :use_logit, :seed, :text_config) SENSITIVE = [] include Aws::Structure end |