Uses of Class
com.google.api.services.ml.v1.model.GoogleCloudMlV1ExplanationConfig

Packages that use GoogleCloudMlV1ExplanationConfig

Package	Description
com.google.api.services.ml.v1.model

Uses of GoogleCloudMlV1ExplanationConfig in com.google.api.services.ml.v1.model

Methods in com.google.api.services.ml.v1.model that return GoogleCloudMlV1ExplanationConfig

Modifier and Type	Method and Description
GoogleCloudMlV1ExplanationConfig	GoogleCloudMlV1ExplanationConfig.clone()
GoogleCloudMlV1ExplanationConfig	GoogleCloudMlV1Version.getExplanationConfig() Optional.
GoogleCloudMlV1ExplanationConfig	GoogleCloudMlV1ExplanationConfig.set(String fieldName, Object value)
GoogleCloudMlV1ExplanationConfig	GoogleCloudMlV1ExplanationConfig.setIntegratedGradientsAttribution(GoogleCloudMlV1IntegratedGradientsAttribution integratedGradientsAttribution) Attributes credit by computing the Aumann-Shapley value taking advantage of the model's fully differentiable structure.
GoogleCloudMlV1ExplanationConfig	GoogleCloudMlV1ExplanationConfig.setSampledShapleyAttribution(GoogleCloudMlV1SampledShapleyAttribution sampledShapleyAttribution) An attribution method that approximates Shapley values for features that contribute to the label being predicted.
GoogleCloudMlV1ExplanationConfig	GoogleCloudMlV1ExplanationConfig.setXraiAttribution(GoogleCloudMlV1XraiAttribution xraiAttribution) Attributes credit by computing the XRAI taking advantage of the model's fully differentiable structure.

Methods in com.google.api.services.ml.v1.model with parameters of type GoogleCloudMlV1ExplanationConfig

Modifier and Type	Method and Description
GoogleCloudMlV1Version	GoogleCloudMlV1Version.setExplanationConfig(GoogleCloudMlV1ExplanationConfig explanationConfig) Optional.