Uses of Class
com.amazonaws.services.sagemaker.model.ClarifyInferenceConfig

Packages that use ClarifyInferenceConfig

Package	Description
com.amazonaws.services.sagemaker.model

Uses of ClarifyInferenceConfig in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return ClarifyInferenceConfig

Modifier and Type	Method and Description
ClarifyInferenceConfig	ClarifyInferenceConfig.clone()
ClarifyInferenceConfig	ClarifyExplainerConfig.getInferenceConfig() The inference configuration parameter for the model container.
ClarifyInferenceConfig	ClarifyInferenceConfig.withContentTemplate(String contentTemplate) A template string used to format a JSON record into an acceptable model container input.
ClarifyInferenceConfig	ClarifyInferenceConfig.withFeatureHeaders(Collection<String> featureHeaders) The names of the features.
ClarifyInferenceConfig	ClarifyInferenceConfig.withFeatureHeaders(String... featureHeaders) The names of the features.
ClarifyInferenceConfig	ClarifyInferenceConfig.withFeaturesAttribute(String featuresAttribute) Provides the JMESPath expression to extract the features from a model container input in JSON Lines format.
ClarifyInferenceConfig	ClarifyInferenceConfig.withFeatureTypes(ClarifyFeatureType... featureTypes) A list of data types of the features (optional).
ClarifyInferenceConfig	ClarifyInferenceConfig.withFeatureTypes(Collection<String> featureTypes) A list of data types of the features (optional).
ClarifyInferenceConfig	ClarifyInferenceConfig.withFeatureTypes(String... featureTypes) A list of data types of the features (optional).
ClarifyInferenceConfig	ClarifyInferenceConfig.withLabelAttribute(String labelAttribute) A JMESPath expression used to locate the list of label headers in the model container output.
ClarifyInferenceConfig	ClarifyInferenceConfig.withLabelHeaders(Collection<String> labelHeaders) For multiclass classification problems, the label headers are the names of the classes.
ClarifyInferenceConfig	ClarifyInferenceConfig.withLabelHeaders(String... labelHeaders) For multiclass classification problems, the label headers are the names of the classes.
ClarifyInferenceConfig	ClarifyInferenceConfig.withLabelIndex(Integer labelIndex) A zero-based index used to extract a label header or list of label headers from model container output in CSV format.
ClarifyInferenceConfig	ClarifyInferenceConfig.withMaxPayloadInMB(Integer maxPayloadInMB) The maximum payload size (MB) allowed of a request from the explainer to the model container.
ClarifyInferenceConfig	ClarifyInferenceConfig.withMaxRecordCount(Integer maxRecordCount) The maximum number of records in a request that the model container can process when querying the model container for the predictions of a synthetic dataset.
ClarifyInferenceConfig	ClarifyInferenceConfig.withProbabilityAttribute(String probabilityAttribute) A JMESPath expression used to extract the probability (or score) from the model container output if the model container is in JSON Lines format.
ClarifyInferenceConfig	ClarifyInferenceConfig.withProbabilityIndex(Integer probabilityIndex) A zero-based index used to extract a probability value (score) or list from model container output in CSV format.

Methods in com.amazonaws.services.sagemaker.model with parameters of type ClarifyInferenceConfig

Modifier and Type	Method and Description
void	ClarifyExplainerConfig.setInferenceConfig(ClarifyInferenceConfig inferenceConfig) The inference configuration parameter for the model container.
ClarifyExplainerConfig	ClarifyExplainerConfig.withInferenceConfig(ClarifyInferenceConfig inferenceConfig) The inference configuration parameter for the model container.