Interface ModelEvaluationSliceOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelEvaluationSlice, ModelEvaluationSlice.Builder

@Generated public interface ModelEvaluationSliceOrBuilder extends com.google.protobuf.MessageOrBuilder
  • Method Details

    • getName

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

      boolean hasSlice()
       Output only. The slice of the test data that is used to evaluate the Model.
       
      .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the slice field is set.
    • getSlice

       Output only. The slice of the test data that is used to evaluate the Model.
       
      .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The slice.
    • getSliceOrBuilder

       Output only. The slice of the test data that is used to evaluate the Model.
       
      .google.cloud.aiplatform.v1.ModelEvaluationSlice.Slice slice = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • getMetricsSchemaUri

      String getMetricsSchemaUri()
       Output only. Points to a YAML file stored on Google Cloud Storage
       describing the
       [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
       ModelEvaluationSlice. 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 = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The metricsSchemaUri.
    • getMetricsSchemaUriBytes

      com.google.protobuf.ByteString getMetricsSchemaUriBytes()
       Output only. Points to a YAML file stored on Google Cloud Storage
       describing the
       [metrics][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics] of this
       ModelEvaluationSlice. 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 = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The bytes for metricsSchemaUri.
    • hasMetrics

      boolean hasMetrics()
       Output only. Sliced evaluation metrics of the Model. The schema of the
       metrics is stored in
       [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
       
      .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the metrics field is set.
    • getMetrics

      com.google.protobuf.Value getMetrics()
       Output only. Sliced evaluation metrics of the Model. The schema of the
       metrics is stored in
       [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
       
      .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The metrics.
    • getMetricsOrBuilder

      com.google.protobuf.ValueOrBuilder getMetricsOrBuilder()
       Output only. Sliced evaluation metrics of the Model. The schema of the
       metrics is stored in
       [metrics_schema_uri][google.cloud.aiplatform.v1.ModelEvaluationSlice.metrics_schema_uri]
       
      .google.protobuf.Value metrics = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • hasCreateTime

      boolean hasCreateTime()
       Output only. Timestamp when this ModelEvaluationSlice was created.
       
      .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the createTime field is set.
    • getCreateTime

      com.google.protobuf.Timestamp getCreateTime()
       Output only. Timestamp when this ModelEvaluationSlice was created.
       
      .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The createTime.
    • getCreateTimeOrBuilder

      com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()
       Output only. Timestamp when this ModelEvaluationSlice was created.
       
      .google.protobuf.Timestamp create_time = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
    • hasModelExplanation

      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 tabular
       Models.
       
      .google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      Whether the modelExplanation field is set.
    • getModelExplanation

      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 tabular
       Models.
       
      .google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The modelExplanation.
    • getModelExplanationOrBuilder

      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 tabular
       Models.
       
      .google.cloud.aiplatform.v1.ModelExplanation model_explanation = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];