| Package | Description |
|---|---|
| software.amazon.awssdk.services.sagemaker.model |
| Modifier and Type | Method and Description |
|---|---|
static ClarifyShapConfig.Builder |
ClarifyShapConfig.builder() |
ClarifyShapConfig.Builder |
ClarifyShapConfig.Builder.numberOfSamples(Integer numberOfSamples)
The number of samples to be used for analysis by the Kernal SHAP algorithm.
|
ClarifyShapConfig.Builder |
ClarifyShapConfig.Builder.seed(Integer seed)
The starting value used to initialize the random number generator in the explainer.
|
ClarifyShapConfig.Builder |
ClarifyShapConfig.Builder.shapBaselineConfig(ClarifyShapBaselineConfig shapBaselineConfig)
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
|
default ClarifyShapConfig.Builder |
ClarifyShapConfig.Builder.shapBaselineConfig(Consumer<ClarifyShapBaselineConfig.Builder> shapBaselineConfig)
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
|
ClarifyShapConfig.Builder |
ClarifyShapConfig.Builder.textConfig(ClarifyTextConfig textConfig)
A parameter that indicates if text features are treated as text and explanations are provided for individual
units of text.
|
default ClarifyShapConfig.Builder |
ClarifyShapConfig.Builder.textConfig(Consumer<ClarifyTextConfig.Builder> textConfig)
A parameter that indicates if text features are treated as text and explanations are provided for individual
units of text.
|
ClarifyShapConfig.Builder |
ClarifyShapConfig.toBuilder() |
ClarifyShapConfig.Builder |
ClarifyShapConfig.Builder.useLogit(Boolean useLogit)
A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model
predictions.
|
| Modifier and Type | Method and Description |
|---|---|
static Class<? extends ClarifyShapConfig.Builder> |
ClarifyShapConfig.serializableBuilderClass() |
| Modifier and Type | Method and Description |
|---|---|
default ClarifyExplainerConfig.Builder |
ClarifyExplainerConfig.Builder.shapConfig(Consumer<ClarifyShapConfig.Builder> shapConfig)
The configuration for SHAP analysis.
|
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