Package com.google.cloud.aiplatform.v1beta1

Interface ModelEvaluationOrBuilder

  • All Superinterfaces:
    com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
    All Known Implementing Classes:
    ModelEvaluation, ModelEvaluation.Builder
    public interface ModelEvaluationOrBuilder
extends com.google.protobuf.MessageOrBuilder

    • Method Detail

      • getName

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

      • getNameBytes

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

      • getDisplayName

        String getDisplayName()
         The display name of the ModelEvaluation.
        string display_name = 10;
        Returns:
        The displayName.

      • getDisplayNameBytes

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

      • getMetricsSchemaUri

        String getMetricsSchemaUri()
         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;
        Returns:
        The metricsSchemaUri.

      • getMetricsSchemaUriBytes

        com.google.protobuf.ByteString getMetricsSchemaUriBytes()
         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;
        Returns:
        The bytes for metricsSchemaUri.

      • hasMetrics

        boolean hasMetrics()
         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;
        Returns:
        Whether the metrics field is set.

      • getMetrics

        com.google.protobuf.Value getMetrics()
         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;
        Returns:
        The metrics.

      • getMetricsOrBuilder

        com.google.protobuf.ValueOrBuilder getMetricsOrBuilder()
         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;

      • hasCreateTime

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

      • getCreateTime

        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];
        Returns:
        The createTime.

      • getCreateTimeOrBuilder

        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];

      • getSliceDimensionsList

        List<String> getSliceDimensionsList()
         All possible
 [dimensions][google.cloud.aiplatform.v1beta1.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;
        Returns:
        A list containing the sliceDimensions.

      • getSliceDimensionsCount

        int getSliceDimensionsCount()
         All possible
 [dimensions][google.cloud.aiplatform.v1beta1.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;
        Returns:
        The count of sliceDimensions.

      • getSliceDimensions

        String getSliceDimensions​(int index)
         All possible
 [dimensions][google.cloud.aiplatform.v1beta1.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;
        Parameters:
        index - The index of the element to return.
        Returns:
        The sliceDimensions at the given index.

      • getSliceDimensionsBytes

        com.google.protobuf.ByteString getSliceDimensionsBytes​(int index)
         All possible
 [dimensions][google.cloud.aiplatform.v1beta1.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;
        Parameters:
        index - The index of the value to return.
        Returns:
        The bytes of the sliceDimensions at the given index.

      • hasModelExplanation

        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.v1beta1.ModelExplanation model_explanation = 8;
        Returns:
        Whether the modelExplanation field is set.

      • getModelExplanation

        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.v1beta1.ModelExplanation model_explanation = 8;
        Returns:
        The modelExplanation.

      • getModelExplanationOrBuilder

        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.v1beta1.ModelExplanation model_explanation = 8;

      • getExplanationSpecsList

        List<ModelEvaluation.ModelEvaluationExplanationSpec> getExplanationSpecsList()
         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;

      • getExplanationSpecs

        ModelEvaluation.ModelEvaluationExplanationSpec getExplanationSpecs​(int index)
         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;

      • getExplanationSpecsCount

        int getExplanationSpecsCount()
         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;

      • getExplanationSpecsOrBuilderList

        List<? extends ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder> getExplanationSpecsOrBuilderList()
         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;

      • getExplanationSpecsOrBuilder

        ModelEvaluation.ModelEvaluationExplanationSpecOrBuilder getExplanationSpecsOrBuilder​(int index)
         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;

      • hasMetadata

        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".
        .google.protobuf.Value metadata = 11;
        Returns:
        Whether the metadata field is set.

      • getMetadata

        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".
        .google.protobuf.Value metadata = 11;
        Returns:
        The metadata.

      • getMetadataOrBuilder

        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".
        .google.protobuf.Value metadata = 11;

      • hasBiasConfigs

        boolean hasBiasConfigs()
         Specify the configuration for bias detection.
        .google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;
        Returns:
        Whether the biasConfigs field is set.

      • getBiasConfigs

        ModelEvaluation.BiasConfig getBiasConfigs()
         Specify the configuration for bias detection.
        .google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;
        Returns:
        The biasConfigs.

      • getBiasConfigsOrBuilder

        ModelEvaluation.BiasConfigOrBuilder getBiasConfigsOrBuilder()
         Specify the configuration for bias detection.
        .google.cloud.aiplatform.v1beta1.ModelEvaluation.BiasConfig bias_configs = 12;