Uses of Class
com.google.cloud.aiplatform.v1.ExplanationParameters.Builder
Packages that use ExplanationParameters.Builder
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Uses of ExplanationParameters.Builder in com.google.cloud.aiplatform.v1
Methods in com.google.cloud.aiplatform.v1 that return ExplanationParameters.BuilderModifier and TypeMethodDescriptionExplanationParameters.Builder.clear()ExplanationParameters.Builder.clearExamples()Example-based explanations that returns the nearest neighbors from the provided dataset.ExplanationParameters.Builder.clearIntegratedGradientsAttribution()An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.ExplanationParameters.Builder.clearMethod()ExplanationParameters.Builder.clearOutputIndices()If populated, only returns attributions that have [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices.ExplanationParameters.Builder.clearSampledShapleyAttribution()An attribution method that approximates Shapley values for features that contribute to the label being predicted.ExplanationParameters.Builder.clearTopK()If populated, returns attributions for top K indices of outputs (defaults to 1).ExplanationParameters.Builder.clearXraiAttribution()An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.ExplanationSpec.Builder.getParametersBuilder()Required.ExplanationSpecOverride.Builder.getParametersBuilder()The parameters to be overridden.ExplanationParameters.Builder.mergeExamples(Examples value) Example-based explanations that returns the nearest neighbors from the provided dataset.ExplanationParameters.Builder.mergeFrom(ExplanationParameters other) ExplanationParameters.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ExplanationParameters.Builder.mergeFrom(com.google.protobuf.Message other) ExplanationParameters.Builder.mergeIntegratedGradientsAttribution(IntegratedGradientsAttribution value) An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.ExplanationParameters.Builder.mergeOutputIndices(com.google.protobuf.ListValue value) If populated, only returns attributions that have [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices.ExplanationParameters.Builder.mergeSampledShapleyAttribution(SampledShapleyAttribution value) An attribution method that approximates Shapley values for features that contribute to the label being predicted.ExplanationParameters.Builder.mergeXraiAttribution(XraiAttribution value) An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.ExplanationParameters.newBuilder()ExplanationParameters.newBuilder(ExplanationParameters prototype) ExplanationParameters.newBuilderForType()protected ExplanationParameters.BuilderExplanationParameters.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) ExplanationParameters.Builder.setExamples(Examples value) Example-based explanations that returns the nearest neighbors from the provided dataset.ExplanationParameters.Builder.setExamples(Examples.Builder builderForValue) Example-based explanations that returns the nearest neighbors from the provided dataset.ExplanationParameters.Builder.setIntegratedGradientsAttribution(IntegratedGradientsAttribution value) An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.ExplanationParameters.Builder.setIntegratedGradientsAttribution(IntegratedGradientsAttribution.Builder builderForValue) An attribution method that computes Aumann-Shapley values taking advantage of the model's fully differentiable structure.ExplanationParameters.Builder.setOutputIndices(com.google.protobuf.ListValue value) If populated, only returns attributions that have [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices.ExplanationParameters.Builder.setOutputIndices(com.google.protobuf.ListValue.Builder builderForValue) If populated, only returns attributions that have [output_index][google.cloud.aiplatform.v1.Attribution.output_index] contained in output_indices.ExplanationParameters.Builder.setSampledShapleyAttribution(SampledShapleyAttribution value) An attribution method that approximates Shapley values for features that contribute to the label being predicted.ExplanationParameters.Builder.setSampledShapleyAttribution(SampledShapleyAttribution.Builder builderForValue) An attribution method that approximates Shapley values for features that contribute to the label being predicted.ExplanationParameters.Builder.setTopK(int value) If populated, returns attributions for top K indices of outputs (defaults to 1).ExplanationParameters.Builder.setXraiAttribution(XraiAttribution value) An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.ExplanationParameters.Builder.setXraiAttribution(XraiAttribution.Builder builderForValue) An attribution method that redistributes Integrated Gradients attribution to segmented regions, taking advantage of the model's fully differentiable structure.ExplanationParameters.toBuilder()Methods in com.google.cloud.aiplatform.v1 with parameters of type ExplanationParameters.BuilderModifier and TypeMethodDescriptionExplanationSpec.Builder.setParameters(ExplanationParameters.Builder builderForValue) Required.ExplanationSpecOverride.Builder.setParameters(ExplanationParameters.Builder builderForValue) The parameters to be overridden.