Package com.google.cloud.aiplatform.v1

Class ModelEvaluation.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<ModelEvaluation.Builder>
com.google.cloud.aiplatform.v1.ModelEvaluation.Builder
All Implemented Interfaces:
ModelEvaluationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
ModelEvaluation
public static final class ModelEvaluation.Builder extends com.google.protobuf.GeneratedMessage.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.v1.ModelEvaluation

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ModelEvaluation.Builder>

    • clear

      public ModelEvaluation.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<ModelEvaluation.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<ModelEvaluation.Builder>

    • getDefaultInstanceForType

      public ModelEvaluation getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public ModelEvaluation build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public ModelEvaluation buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public ModelEvaluation.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>

    • mergeFrom

      public ModelEvaluation.Builder mergeFrom(ModelEvaluation other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ModelEvaluation.Builder>

    • mergeFrom

      public ModelEvaluation.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelEvaluation.Builder>
      Throws:
      IOException

    • getName

      public String getName()
       Output only. The resource name of the ModelEvaluation.
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getName in interface ModelEvaluationOrBuilder
      Returns:
      The name.

    • getNameBytes

      public com.google.protobuf.ByteString getNameBytes()
       Output only. The resource name of the ModelEvaluation.
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      getNameBytes in interface ModelEvaluationOrBuilder
      Returns:
      The bytes for name.

    • setName

      public ModelEvaluation.Builder setName(String value)
       Output only. The resource name of the ModelEvaluation.
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      value - The name to set.
      Returns:
      This builder for chaining.

    • clearName

      public ModelEvaluation.Builder clearName()
       Output only. The resource name of the ModelEvaluation.
      string name = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      This builder for chaining.

    • setNameBytes

      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];
      Parameters:
      value - The bytes for name to set.
      Returns:
      This builder for chaining.

    • getDisplayName

      public String getDisplayName()
       The display name of the ModelEvaluation.
      string display_name = 10;
      Specified by:
      getDisplayName in interface ModelEvaluationOrBuilder
      Returns:
      The displayName.

    • getDisplayNameBytes

      public com.google.protobuf.ByteString getDisplayNameBytes()
       The display name of the ModelEvaluation.
      string display_name = 10;
      Specified by:
      getDisplayNameBytes in interface ModelEvaluationOrBuilder
      Returns:
      The bytes for displayName.

    • setDisplayName

      public ModelEvaluation.Builder setDisplayName(String value)
       The display name of the ModelEvaluation.
      string display_name = 10;
      Parameters:
      value - The displayName to set.
      Returns:
      This builder for chaining.

    • clearDisplayName

      public ModelEvaluation.Builder clearDisplayName()
       The display name of the ModelEvaluation.
      string display_name = 10;
      Returns:
      This builder for chaining.

    • setDisplayNameBytes

      public ModelEvaluation.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)
       The display name of the ModelEvaluation.
      string display_name = 10;
      Parameters:
      value - The bytes for displayName to set.
      Returns:
      This builder for chaining.

    • getMetricsSchemaUri

      public String getMetricsSchemaUri()
       Points to a YAML file stored on Google Cloud Storage describing the
 [metrics][google.cloud.aiplatform.v1.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;
      Specified by:
      getMetricsSchemaUri in interface ModelEvaluationOrBuilder
      Returns:
      The metricsSchemaUri.

    • getMetricsSchemaUriBytes

      public com.google.protobuf.ByteString getMetricsSchemaUriBytes()
       Points to a YAML file stored on Google Cloud Storage describing the
 [metrics][google.cloud.aiplatform.v1.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;
      Specified by:
      getMetricsSchemaUriBytes in interface ModelEvaluationOrBuilder
      Returns:
      The bytes for metricsSchemaUri.

    • setMetricsSchemaUri

      public ModelEvaluation.Builder setMetricsSchemaUri(String value)
       Points to a YAML file stored on Google Cloud Storage describing the
 [metrics][google.cloud.aiplatform.v1.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;
      Parameters:
      value - The metricsSchemaUri to set.
      Returns:
      This builder for chaining.

    • clearMetricsSchemaUri

      public ModelEvaluation.Builder clearMetricsSchemaUri()
       Points to a YAML file stored on Google Cloud Storage describing the
 [metrics][google.cloud.aiplatform.v1.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;
      Returns:
      This builder for chaining.

    • setMetricsSchemaUriBytes

      public ModelEvaluation.Builder setMetricsSchemaUriBytes(com.google.protobuf.ByteString value)
       Points to a YAML file stored on Google Cloud Storage describing the
 [metrics][google.cloud.aiplatform.v1.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;
      Parameters:
      value - The bytes for metricsSchemaUri to set.
      Returns:
      This builder for chaining.

    • hasMetrics

      public boolean hasMetrics()
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;
      Specified by:
      hasMetrics in interface ModelEvaluationOrBuilder
      Returns:
      Whether the metrics field is set.

    • getMetrics

      public com.google.protobuf.Value getMetrics()
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;
      Specified by:
      getMetrics in interface ModelEvaluationOrBuilder
      Returns:
      The metrics.

    • setMetrics

      public ModelEvaluation.Builder setMetrics(com.google.protobuf.Value value)
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;

    • setMetrics

      public ModelEvaluation.Builder setMetrics(com.google.protobuf.Value.Builder builderForValue)
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;

    • mergeMetrics

      public ModelEvaluation.Builder mergeMetrics(com.google.protobuf.Value value)
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;

    • clearMetrics

      public ModelEvaluation.Builder clearMetrics()
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;

    • getMetricsBuilder

      public com.google.protobuf.Value.Builder getMetricsBuilder()
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;

    • getMetricsOrBuilder

      public com.google.protobuf.ValueOrBuilder getMetricsOrBuilder()
       Evaluation metrics of the Model. The schema of the metrics is stored in
 [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluation.metrics_schema_uri]
      .google.protobuf.Value metrics = 3;
      Specified by:
      getMetricsOrBuilder in interface ModelEvaluationOrBuilder

    • hasCreateTime

      public boolean hasCreateTime()
       Output only. Timestamp when this ModelEvaluation was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Specified by:
      hasCreateTime in interface ModelEvaluationOrBuilder
      Returns:
      Whether the createTime field is set.

    • getCreateTime

      public 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];
      Specified by:
      getCreateTime in interface ModelEvaluationOrBuilder
      Returns:
      The createTime.

    • setCreateTime

      public 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];

    • setCreateTime

      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];

    • mergeCreateTime

      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];

    • clearCreateTime

      public ModelEvaluation.Builder clearCreateTime()
       Output only. Timestamp when this ModelEvaluation was created.
      .google.protobuf.Timestamp create_time = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

    • getCreateTimeBuilder

      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];

    • getCreateTimeOrBuilder

      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];
      Specified by:
      getCreateTimeOrBuilder in interface ModelEvaluationOrBuilder

    • getSliceDimensionsList

      public com.google.protobuf.ProtocolStringList getSliceDimensionsList()
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Specified by:
      getSliceDimensionsList in interface ModelEvaluationOrBuilder
      Returns:
      A list containing the sliceDimensions.

    • getSliceDimensionsCount

      public int getSliceDimensionsCount()
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Specified by:
      getSliceDimensionsCount in interface ModelEvaluationOrBuilder
      Returns:
      The count of sliceDimensions.

    • getSliceDimensions

      public String getSliceDimensions(int index)
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Specified by:
      getSliceDimensions in interface ModelEvaluationOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The sliceDimensions at the given index.

    • getSliceDimensionsBytes

      public com.google.protobuf.ByteString getSliceDimensionsBytes(int index)
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Specified by:
      getSliceDimensionsBytes in interface ModelEvaluationOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the sliceDimensions at the given index.

    • setSliceDimensions

      public ModelEvaluation.Builder setSliceDimensions(int index, String value)
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Parameters:
      index - The index to set the value at.
      value - The sliceDimensions to set.
      Returns:
      This builder for chaining.

    • addSliceDimensions

      public ModelEvaluation.Builder addSliceDimensions(String value)
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Parameters:
      value - The sliceDimensions to add.
      Returns:
      This builder for chaining.

    • addAllSliceDimensions

      public ModelEvaluation.Builder addAllSliceDimensions(Iterable<String> values)
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Parameters:
      values - The sliceDimensions to add.
      Returns:
      This builder for chaining.

    • clearSliceDimensions

      public ModelEvaluation.Builder clearSliceDimensions()
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Returns:
      This builder for chaining.

    • addSliceDimensionsBytes

      public ModelEvaluation.Builder addSliceDimensionsBytes(com.google.protobuf.ByteString value)
       All possible
 [dimensions][google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice.dimension]
 of ModelEvaluationSlices. The dimensions can be used as the filter of the
 [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1.ModelService.ListModelEvaluationSlices]
 request, in the form of `slice.dimension = <dimension>`.
      repeated string slice_dimensions = 5;
      Parameters:
      value - The bytes of the sliceDimensions to add.
      Returns:
      This builder for chaining.

    • getDataItemSchemaUri

      public String getDataItemSchemaUri()
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.data_item_payload][] and
 [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string data_item_schema_uri = 6;
      Specified by:
      getDataItemSchemaUri in interface ModelEvaluationOrBuilder
      Returns:
      The dataItemSchemaUri.

    • getDataItemSchemaUriBytes

      public com.google.protobuf.ByteString getDataItemSchemaUriBytes()
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.data_item_payload][] and
 [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string data_item_schema_uri = 6;
      Specified by:
      getDataItemSchemaUriBytes in interface ModelEvaluationOrBuilder
      Returns:
      The bytes for dataItemSchemaUri.

    • setDataItemSchemaUri

      public ModelEvaluation.Builder setDataItemSchemaUri(String value)
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.data_item_payload][] and
 [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string data_item_schema_uri = 6;
      Parameters:
      value - The dataItemSchemaUri to set.
      Returns:
      This builder for chaining.

    • clearDataItemSchemaUri

      public ModelEvaluation.Builder clearDataItemSchemaUri()
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.data_item_payload][] and
 [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string data_item_schema_uri = 6;
      Returns:
      This builder for chaining.

    • setDataItemSchemaUriBytes

      public ModelEvaluation.Builder setDataItemSchemaUriBytes(com.google.protobuf.ByteString value)
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.data_item_payload][] and
 [EvaluatedAnnotation.data_item_payload][google.cloud.aiplatform.v1.EvaluatedAnnotation.data_item_payload].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string data_item_schema_uri = 6;
      Parameters:
      value - The bytes for dataItemSchemaUri to set.
      Returns:
      This builder for chaining.

    • getAnnotationSchemaUri

      public String getAnnotationSchemaUri()
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.predictions][],
 [EvaluatedDataItemView.ground_truths][],
 [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
 and
 [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string annotation_schema_uri = 7;
      Specified by:
      getAnnotationSchemaUri in interface ModelEvaluationOrBuilder
      Returns:
      The annotationSchemaUri.

    • getAnnotationSchemaUriBytes

      public com.google.protobuf.ByteString getAnnotationSchemaUriBytes()
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.predictions][],
 [EvaluatedDataItemView.ground_truths][],
 [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
 and
 [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string annotation_schema_uri = 7;
      Specified by:
      getAnnotationSchemaUriBytes in interface ModelEvaluationOrBuilder
      Returns:
      The bytes for annotationSchemaUri.

    • setAnnotationSchemaUri

      public ModelEvaluation.Builder setAnnotationSchemaUri(String value)
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.predictions][],
 [EvaluatedDataItemView.ground_truths][],
 [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
 and
 [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string annotation_schema_uri = 7;
      Parameters:
      value - The annotationSchemaUri to set.
      Returns:
      This builder for chaining.

    • clearAnnotationSchemaUri

      public ModelEvaluation.Builder clearAnnotationSchemaUri()
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.predictions][],
 [EvaluatedDataItemView.ground_truths][],
 [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
 and
 [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string annotation_schema_uri = 7;
      Returns:
      This builder for chaining.

    • setAnnotationSchemaUriBytes

      public ModelEvaluation.Builder setAnnotationSchemaUriBytes(com.google.protobuf.ByteString value)
       Points to a YAML file stored on Google Cloud Storage describing
 [EvaluatedDataItemView.predictions][],
 [EvaluatedDataItemView.ground_truths][],
 [EvaluatedAnnotation.predictions][google.cloud.aiplatform.v1.EvaluatedAnnotation.predictions],
 and
 [EvaluatedAnnotation.ground_truths][google.cloud.aiplatform.v1.EvaluatedAnnotation.ground_truths].
 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).

 This field is not populated if there are neither EvaluatedDataItemViews nor
 EvaluatedAnnotations under this ModelEvaluation.
      string annotation_schema_uri = 7;
      Parameters:
      value - The bytes for annotationSchemaUri to set.
      Returns:
      This builder for chaining.

    • hasModelExplanation

      public boolean hasModelExplanation()
       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.v1.ModelExplanation model_explanation = 8;
      Specified by:
      hasModelExplanation in interface ModelEvaluationOrBuilder
      Returns:
      Whether the modelExplanation field is set.

    • getModelExplanation

      public ModelExplanation getModelExplanation()
       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.v1.ModelExplanation model_explanation = 8;
      Specified by:
      getModelExplanation in interface ModelEvaluationOrBuilder
      Returns:
      The modelExplanation.

    • setModelExplanation

      public ModelEvaluation.Builder setModelExplanation(ModelExplanation value)
       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.v1.ModelExplanation model_explanation = 8;

    • setModelExplanation

      public ModelEvaluation.Builder setModelExplanation(ModelExplanation.Builder builderForValue)
       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.v1.ModelExplanation model_explanation = 8;

    • mergeModelExplanation

      public ModelEvaluation.Builder mergeModelExplanation(ModelExplanation value)
       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.v1.ModelExplanation model_explanation = 8;

    • clearModelExplanation

      public ModelEvaluation.Builder clearModelExplanation()
       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.v1.ModelExplanation model_explanation = 8;

    • getModelExplanationBuilder

      public ModelExplanation.Builder getModelExplanationBuilder()
       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.v1.ModelExplanation model_explanation = 8;

    • getModelExplanationOrBuilder

      public ModelExplanationOrBuilder getModelExplanationOrBuilder()
       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.v1.ModelExplanation model_explanation = 8;
      Specified by:
      getModelExplanationOrBuilder in interface ModelEvaluationOrBuilder

    • getExplanationSpecsList

      public List<ModelEvaluation.ModelEvaluationExplanationSpec> getExplanationSpecsList()
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
      Specified by:
      getExplanationSpecsList in interface ModelEvaluationOrBuilder

    • getExplanationSpecsCount

      public int getExplanationSpecsCount()
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
      Specified by:
      getExplanationSpecsCount in interface ModelEvaluationOrBuilder

    • getExplanationSpecs

      public ModelEvaluation.ModelEvaluationExplanationSpec getExplanationSpecs(int index)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
      Specified by:
      getExplanationSpecs in interface ModelEvaluationOrBuilder

    • setExplanationSpecs

      public ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • setExplanationSpecs

      public ModelEvaluation.Builder setExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • addExplanationSpecs

      public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec value)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • addExplanationSpecs

      public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec value)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • addExplanationSpecs

      public ModelEvaluation.Builder addExplanationSpecs(ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • addExplanationSpecs

      public ModelEvaluation.Builder addExplanationSpecs(int index, ModelEvaluation.ModelEvaluationExplanationSpec.Builder builderForValue)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • addAllExplanationSpecs

      public ModelEvaluation.Builder addAllExplanationSpecs(Iterable<? extends ModelEvaluation.ModelEvaluationExplanationSpec> values)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • clearExplanationSpecs

      public ModelEvaluation.Builder clearExplanationSpecs()
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • removeExplanationSpecs

      public ModelEvaluation.Builder removeExplanationSpecs(int index)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • getExplanationSpecsBuilder

      public ModelEvaluation.ModelEvaluationExplanationSpec.Builder getExplanationSpecsBuilder(int index)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • getExplanationSpecsOrBuilder

      public ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder getExplanationSpecsOrBuilder(int index)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
      Specified by:
      getExplanationSpecsOrBuilder in interface ModelEvaluationOrBuilder

    • getExplanationSpecsOrBuilderList

      public List<? extends ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> getExplanationSpecsOrBuilderList()
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;
      Specified by:
      getExplanationSpecsOrBuilderList in interface ModelEvaluationOrBuilder

    • addExplanationSpecsBuilder

      public ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder()
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • addExplanationSpecsBuilder

      public ModelEvaluation.ModelEvaluationExplanationSpec.Builder addExplanationSpecsBuilder(int index)
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • getExplanationSpecsBuilderList

      public List<ModelEvaluation.ModelEvaluationExplanationSpec.Builder> getExplanationSpecsBuilderList()
       Describes the values of
 [ExplanationSpec][google.cloud.aiplatform.v1.ExplanationSpec] that are used
 for explaining the predicted values on the evaluated data.
      repeated .google.cloud.aiplatform.v1.ModelEvaluation.ModelEvaluationExplanationSpec explanation_specs = 9;

    • hasMetadata

      public boolean hasMetadata()
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;
      Specified by:
      hasMetadata in interface ModelEvaluationOrBuilder
      Returns:
      Whether the metadata field is set.

    • getMetadata

      public com.google.protobuf.Value getMetadata()
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;
      Specified by:
      getMetadata in interface ModelEvaluationOrBuilder
      Returns:
      The metadata.

    • setMetadata

      public ModelEvaluation.Builder setMetadata(com.google.protobuf.Value value)
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;

    • setMetadata

      public ModelEvaluation.Builder setMetadata(com.google.protobuf.Value.Builder builderForValue)
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;

    • mergeMetadata

      public ModelEvaluation.Builder mergeMetadata(com.google.protobuf.Value value)
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;

    • clearMetadata

      public ModelEvaluation.Builder clearMetadata()
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;

    • getMetadataBuilder

      public com.google.protobuf.Value.Builder getMetadataBuilder()
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;

    • getMetadataOrBuilder

      public com.google.protobuf.ValueOrBuilder getMetadataOrBuilder()
       The metadata of the ModelEvaluation.
 For the ModelEvaluation uploaded from Managed Pipeline, metadata contains a
 structured value with keys of "pipeline_job_id", "evaluation_dataset_type",
 "evaluation_dataset_path", "row_based_metrics_path".
      .google.protobuf.Value metadata = 11;
      Specified by:
      getMetadataOrBuilder in interface ModelEvaluationOrBuilder