public static final class ModelEvaluation.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder> implements ModelEvaluationOrBuilder
A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.Protobuf type
google.cloud.aiplatform.v1beta1.ModelEvaluationgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic ModelEvaluation build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic ModelEvaluation buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic ModelEvaluation.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(ModelEvaluation other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public ModelEvaluation.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>IOExceptionpublic String getName()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getName in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ByteString getNameBytes()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];getNameBytes in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setName(String value)
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The name to set.public ModelEvaluation.Builder clearName()
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];public ModelEvaluation.Builder setNameBytes(com.google.protobuf.ByteString value)
Output only. The resource name of the ModelEvaluation.
string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The bytes for name to set.public String getMetricsSchemaUri()
Output only. Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];getMetricsSchemaUri in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ByteString getMetricsSchemaUriBytes()
Output only. Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];getMetricsSchemaUriBytes in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setMetricsSchemaUri(String value)
Output only. Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The metricsSchemaUri to set.public ModelEvaluation.Builder clearMetricsSchemaUri()
Output only. Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];public ModelEvaluation.Builder setMetricsSchemaUriBytes(com.google.protobuf.ByteString value)
Output only. Points to a YAML file stored on Google Cloud Storage describing the [metrics][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics] of this ModelEvaluation. The schema is defined as an OpenAPI 3.0.2 [Schema Object](https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.2.md#schemaObject).
string metrics_schema_uri = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];value - The bytes for metricsSchemaUri to set.public boolean hasMetrics()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];hasMetrics in interface ModelEvaluationOrBuilderpublic com.google.protobuf.Value getMetrics()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];getMetrics in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setMetrics(com.google.protobuf.Value value)
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];public ModelEvaluation.Builder setMetrics(com.google.protobuf.Value.Builder builderForValue)
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];public ModelEvaluation.Builder mergeMetrics(com.google.protobuf.Value value)
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];public ModelEvaluation.Builder clearMetrics()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];public com.google.protobuf.Value.Builder getMetricsBuilder()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder()
Output only. Evaluation metrics of the Model. The schema of the metrics is stored in [metrics_schema_uri][google.cloud.aiplatform.v1beta1.ModelEvaluation.metrics_schema_uri]
.google.protobuf.Value metrics = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];getMetricsOrBuilder in interface ModelEvaluationOrBuilderpublic boolean hasCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasCreateTime in interface ModelEvaluationOrBuilderpublic com.google.protobuf.Timestamp getCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTime in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setCreateTime(com.google.protobuf.Timestamp value)
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder mergeCreateTime(com.google.protobuf.Timestamp value)
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder clearCreateTime()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
Output only. Timestamp when this ModelEvaluation was created.
.google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
getCreateTimeOrBuilder in interface ModelEvaluationOrBuilderpublic com.google.protobuf.ProtocolStringList getSliceDimensionsList()
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
getSliceDimensionsList in interface ModelEvaluationOrBuilderpublic int getSliceDimensionsCount()
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
getSliceDimensionsCount in interface ModelEvaluationOrBuilderpublic String getSliceDimensions(int index)
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
getSliceDimensions in interface ModelEvaluationOrBuilderindex - The index of the element to return.public com.google.protobuf.ByteString getSliceDimensionsBytes(int index)
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
getSliceDimensionsBytes in interface ModelEvaluationOrBuilderindex - The index of the value to return.public ModelEvaluation.Builder setSliceDimensions(int index, String value)
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
index - The index to set the value at.value - The sliceDimensions to set.public ModelEvaluation.Builder addSliceDimensions(String value)
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
value - The sliceDimensions to add.public ModelEvaluation.Builder addAllSliceDimensions(Iterable<String> values)
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
values - The sliceDimensions to add.public ModelEvaluation.Builder clearSliceDimensions()
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder addSliceDimensionsBytes(com.google.protobuf.ByteString value)
Output only. All possible [dimensions][ModelEvaluationSlice.slice.dimension] of ModelEvaluationSlices. The dimensions can be used as the filter of the [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] request, in the form of `slice.dimension = <dimension>`.
repeated string slice_dimensions = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
value - The bytes of the sliceDimensions to add.public boolean hasModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
hasModelExplanation in interface ModelEvaluationOrBuilderpublic ModelExplanation getModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
getModelExplanation in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setModelExplanation(ModelExplanation value)
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder setModelExplanation(ModelExplanation.Builder builderForValue)
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder mergeModelExplanation(ModelExplanation value)
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder clearModelExplanation()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelExplanation.Builder getModelExplanationBuilder()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelExplanationOrBuilder getModelExplanationOrBuilder()
Output only. Aggregated explanation metrics for the Model's prediction output over the data this ModelEvaluation uses. This field is populated only if the Model is evaluated with explanations, and only for AutoML tabular Models.
.google.cloud.aiplatform.v1beta1.ModelExplanation model_explanation = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];
getModelExplanationOrBuilder in interface ModelEvaluationOrBuilderpublic List<ModelEvaluation.ModelEvaluationExplanationSpec> getExplanationSpecsList()
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getExplanationSpecsList in interface ModelEvaluationOrBuilderpublic int getExplanationSpecsCount()
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getExplanationSpecsCount in interface ModelEvaluationOrBuilderpublic ModelEvaluation.ModelEvaluationExplanationSpec getExplanationSpecs(int index)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getExplanationSpecs in interface ModelEvaluationOrBuilderpublic ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec value)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder addAllExplanationSpecs(Iterable<? extends ModelEvaluation.ModelEvaluationExplanationSpec> values)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder clearExplanationSpecs()
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.Builder removeExplanationSpecs(int index)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.ModelEvaluationExplanationSpec.Builder getExplanationSpecsBuilder(int index)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder getExplanationSpecsOrBuilder(int index)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getExplanationSpecsOrBuilder in interface ModelEvaluationOrBuilderpublic List<? extends ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> getExplanationSpecsOrBuilderList()
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
getExplanationSpecsOrBuilderList in interface ModelEvaluationOrBuilderpublic ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder()
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder(int index)
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public List<ModelEvaluation.ModelEvaluationExplanationSpec.Builder> getExplanationSpecsBuilderList()
Output only. Describes the values of [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] that are used for explaining the predicted values on the evaluated data.
repeated .google.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9 [(.google.api.field_behavior) = OUTPUT_ONLY];
public final ModelEvaluation.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>public final ModelEvaluation.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ModelEvaluation.Builder>Copyright © 2021 Google LLC. All rights reserved.