Package com.google.cloud.aiplatform.v1

Interface ModelEvaluationSliceOrBuilder

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

    • Method Detail

      • 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

        ModelEvaluationSlice.Slice 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

        ModelEvaluationSlice.SliceOrBuilder 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];