@Generated(value="software.amazon.awssdk:codegen") public final class ClarifyShapConfig extends Object implements SdkPojo, Serializable, ToCopyableBuilder<ClarifyShapConfig.Builder,ClarifyShapConfig>
The configuration for SHAP analysis using SageMaker Clarify Explainer.
| Modifier and Type | Class and Description |
|---|---|
static interface |
ClarifyShapConfig.Builder |
| Modifier and Type | Method and Description |
|---|---|
static ClarifyShapConfig.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
Integer |
numberOfSamples()
The number of samples to be used for analysis by the Kernal SHAP algorithm.
|
List<SdkField<?>> |
sdkFields() |
Integer |
seed()
The starting value used to initialize the random number generator in the explainer.
|
static Class<? extends ClarifyShapConfig.Builder> |
serializableBuilderClass() |
ClarifyShapBaselineConfig |
shapBaselineConfig()
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
|
ClarifyTextConfig |
textConfig()
A parameter that indicates if text features are treated as text and explanations are provided for individual
units of text.
|
ClarifyShapConfig.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
Boolean |
useLogit()
A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model
predictions.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final ClarifyShapBaselineConfig shapBaselineConfig()
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
public final Integer numberOfSamples()
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.
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.
public final Boolean useLogit()
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.
public final Integer seed()
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.
public final ClarifyTextConfig textConfig()
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.
public ClarifyShapConfig.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<ClarifyShapConfig.Builder,ClarifyShapConfig>public static ClarifyShapConfig.Builder builder()
public static Class<? extends ClarifyShapConfig.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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