Uses of Class
com.google.cloud.aiplatform.v1beta1.ModelEvaluation.Builder
Packages that use ModelEvaluation.Builder
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Uses of ModelEvaluation.Builder in com.google.cloud.aiplatform.v1beta1
Methods in com.google.cloud.aiplatform.v1beta1 that return ModelEvaluation.BuilderModifier and TypeMethodDescriptionModelEvaluation.Builder.addAllExplanationSpecs(Iterable<? extends ModelEvaluation.ModelEvaluationExplanationSpec> values) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.addAllSliceDimensions(Iterable<String> values) All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices.ModelEvaluation.Builder.addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec value) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ListModelEvaluationsResponse.Builder.addModelEvaluationsBuilder()List of ModelEvaluations in the requested page.ListModelEvaluationsResponse.Builder.addModelEvaluationsBuilder(int index) List of ModelEvaluations in the requested page.ModelEvaluation.Builder.addSliceDimensions(String value) All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices.ModelEvaluation.Builder.addSliceDimensionsBytes(com.google.protobuf.ByteString value) All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices.ModelEvaluation.Builder.clear()ModelEvaluation.Builder.clearBiasConfigs()Specify the configuration for bias detection.ModelEvaluation.Builder.clearCreateTime()Output only.ModelEvaluation.Builder.clearDisplayName()The display name of the ModelEvaluation.ModelEvaluation.Builder.clearExplanationSpecs()Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.clearMetadata()The metadata of the ModelEvaluation.ModelEvaluation.Builder.clearMetrics()Evaluation metrics of the Model.ModelEvaluation.Builder.clearMetricsSchemaUri()Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation.ModelEvaluation.Builder.clearModelExplanation()Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses.ModelEvaluation.Builder.clearName()Output only.ModelEvaluation.Builder.clearSliceDimensions()All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices.ImportModelEvaluationRequest.Builder.getModelEvaluationBuilder()Required.ListModelEvaluationsResponse.Builder.getModelEvaluationsBuilder(int index) List of ModelEvaluations in the requested page.ModelEvaluation.Builder.mergeBiasConfigs(ModelEvaluation.BiasConfig value) Specify the configuration for bias detection.ModelEvaluation.Builder.mergeCreateTime(com.google.protobuf.Timestamp value) Output only.ModelEvaluation.Builder.mergeFrom(ModelEvaluation other) ModelEvaluation.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ModelEvaluation.Builder.mergeFrom(com.google.protobuf.Message other) ModelEvaluation.Builder.mergeMetadata(com.google.protobuf.Value value) The metadata of the ModelEvaluation.ModelEvaluation.Builder.mergeMetrics(com.google.protobuf.Value value) Evaluation metrics of the Model.ModelEvaluation.Builder.mergeModelExplanation(ModelExplanation value) Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses.static ModelEvaluation.BuilderModelEvaluation.newBuilder()static ModelEvaluation.BuilderModelEvaluation.newBuilder(ModelEvaluation prototype) ModelEvaluation.newBuilderForType()protected ModelEvaluation.BuilderModelEvaluation.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) ModelEvaluation.Builder.removeExplanationSpecs(int index) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.setBiasConfigs(ModelEvaluation.BiasConfig value) Specify the configuration for bias detection.ModelEvaluation.Builder.setBiasConfigs(ModelEvaluation.BiasConfig.Builder builderForValue) Specify the configuration for bias detection.ModelEvaluation.Builder.setCreateTime(com.google.protobuf.Timestamp value) Output only.ModelEvaluation.Builder.setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.ModelEvaluation.Builder.setDisplayName(String value) The display name of the ModelEvaluation.ModelEvaluation.Builder.setDisplayNameBytes(com.google.protobuf.ByteString value) The display name of the ModelEvaluation.ModelEvaluation.Builder.setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue) Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.ModelEvaluation.Builder.setMetadata(com.google.protobuf.Value value) The metadata of the ModelEvaluation.ModelEvaluation.Builder.setMetadata(com.google.protobuf.Value.Builder builderForValue) The metadata of the ModelEvaluation.ModelEvaluation.Builder.setMetrics(com.google.protobuf.Value value) Evaluation metrics of the Model.ModelEvaluation.Builder.setMetrics(com.google.protobuf.Value.Builder builderForValue) Evaluation metrics of the Model.ModelEvaluation.Builder.setMetricsSchemaUri(String value) Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation.ModelEvaluation.Builder.setMetricsSchemaUriBytes(com.google.protobuf.ByteString value) Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation.ModelEvaluation.Builder.setModelExplanation(ModelExplanation value) Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses.ModelEvaluation.Builder.setModelExplanation(ModelExplanation.Builder builderForValue) Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses.Output only.ModelEvaluation.Builder.setNameBytes(com.google.protobuf.ByteString value) Output only.ModelEvaluation.Builder.setSliceDimensions(int index, String value) All possible [dimensions][google.cloud.aiplatform.v1beta1.ModelEvaluationSlice.Slice.dimension] of ModelEvaluationSlices.ModelEvaluation.toBuilder()Methods in com.google.cloud.aiplatform.v1beta1 that return types with arguments of type ModelEvaluation.BuilderModifier and TypeMethodDescriptionListModelEvaluationsResponse.Builder.getModelEvaluationsBuilderList()List of ModelEvaluations in the requested page.Methods in com.google.cloud.aiplatform.v1beta1 with parameters of type ModelEvaluation.BuilderModifier and TypeMethodDescriptionListModelEvaluationsResponse.Builder.addModelEvaluations(int index, ModelEvaluation.Builder builderForValue) List of ModelEvaluations in the requested page.ListModelEvaluationsResponse.Builder.addModelEvaluations(ModelEvaluation.Builder builderForValue) List of ModelEvaluations in the requested page.ImportModelEvaluationRequest.Builder.setModelEvaluation(ModelEvaluation.Builder builderForValue) Required.ListModelEvaluationsResponse.Builder.setModelEvaluations(int index, ModelEvaluation.Builder builderForValue) List of ModelEvaluations in the requested page.