Package com.google.cloud.aiplatform.v1beta1

Interface EvaluatedAnnotationOrBuilder

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

    • Method Detail

      • getTypeValue

        int getTypeValue()
         Output only. Type of the EvaluatedAnnotation.
        .google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The enum numeric value on the wire for type.

      • getType

        EvaluatedAnnotation.EvaluatedAnnotationType getType()
         Output only. Type of the EvaluatedAnnotation.
        .google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.EvaluatedAnnotationType type = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The type.

      • getPredictionsList

        List<com.google.protobuf.Value> getPredictionsList()
         Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getPredictions

        com.google.protobuf.Value getPredictions​(int index)
         Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getPredictionsCount

        int getPredictionsCount()
         Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getPredictionsOrBuilderList

        List<? extends com.google.protobuf.ValueOrBuilder> getPredictionsOrBuilderList()
         Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getPredictionsOrBuilder

        com.google.protobuf.ValueOrBuilder getPredictionsOrBuilder​(int index)
         Output only. The model predicted annotations.

 For true positive, there is one and only one prediction, which matches the
 only one ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths].

 For false positive, there is one and only one prediction, which doesn't
 match any ground truth annotation of the corresponding
 [data_item_view_id][EvaluatedAnnotation.data_item_view_id].

 For false negative, there are zero or more predictions which are similar to
 the only ground truth annotation in
 [ground_truths][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.ground_truths]
 but not enough for a match.

 The schema of the prediction is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value predictions = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getGroundTruthsList

        List<com.google.protobuf.Value> getGroundTruthsList()
         Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getGroundTruths

        com.google.protobuf.Value getGroundTruths​(int index)
         Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getGroundTruthsCount

        int getGroundTruthsCount()
         Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getGroundTruthsOrBuilderList

        List<? extends com.google.protobuf.ValueOrBuilder> getGroundTruthsOrBuilderList()
         Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getGroundTruthsOrBuilder

        com.google.protobuf.ValueOrBuilder getGroundTruthsOrBuilder​(int index)
         Output only. The ground truth Annotations, i.e. the Annotations that exist
 in the test data the Model is evaluated on.

 For true positive, there is one and only one ground truth annotation, which
 matches the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].

 For false positive, there are zero or more ground truth annotations that
 are similar to the only prediction in
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions],
 but not enough for a match.

 For false negative, there is one and only one ground truth annotation,
 which doesn't match any predictions created by the model.

 The schema of the ground truth is stored in
 [ModelEvaluation.annotation_schema_uri][]
        repeated .google.protobuf.Value ground_truths = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • hasDataItemPayload

        boolean hasDataItemPayload()
         Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.
        .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        Whether the dataItemPayload field is set.

      • getDataItemPayload

        com.google.protobuf.Value getDataItemPayload()
         Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.
        .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The dataItemPayload.

      • getDataItemPayloadOrBuilder

        com.google.protobuf.ValueOrBuilder getDataItemPayloadOrBuilder()
         Output only. The data item payload that the Model predicted this
 EvaluatedAnnotation on.
        .google.protobuf.Value data_item_payload = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

      • getEvaluatedDataItemViewId

        String getEvaluatedDataItemViewId()
         Output only. ID of the EvaluatedDataItemView under the same ancestor
 ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
 and predictions on
 [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].
        string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The evaluatedDataItemViewId.

      • getEvaluatedDataItemViewIdBytes

        com.google.protobuf.ByteString getEvaluatedDataItemViewIdBytes()
         Output only. ID of the EvaluatedDataItemView under the same ancestor
 ModelEvaluation. The EvaluatedDataItemView consists of all ground truths
 and predictions on
 [data_item_payload][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.data_item_payload].
        string evaluated_data_item_view_id = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];
        Returns:
        The bytes for evaluatedDataItemViewId.

      • getExplanationsList

        List<EvaluatedAnnotationExplanation> getExplanationsList()
         Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.
        repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

      • getExplanations

        EvaluatedAnnotationExplanation getExplanations​(int index)
         Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.
        repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

      • getExplanationsCount

        int getExplanationsCount()
         Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.
        repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

      • getExplanationsOrBuilderList

        List<? extends EvaluatedAnnotationExplanationOrBuilder> getExplanationsOrBuilderList()
         Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.
        repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

      • getExplanationsOrBuilder

        EvaluatedAnnotationExplanationOrBuilder getExplanationsOrBuilder​(int index)
         Explanations of
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions].
 Each element of the explanations indicates the explanation for one
 explanation Method.

 The attributions list in the
 [EvaluatedAnnotationExplanation.explanation][google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation.explanation]
 object corresponds to the
 [predictions][google.cloud.aiplatform.v1beta1.EvaluatedAnnotation.predictions]
 list. For example, the second element in the attributions list explains the
 second element in the predictions list.
        repeated .google.cloud.aiplatform.v1beta1.EvaluatedAnnotationExplanation explanations = 8;

      • getErrorAnalysisAnnotationsList

        List<ErrorAnalysisAnnotation> getErrorAnalysisAnnotationsList()
         Annotations of model error analysis results.
        repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

      • getErrorAnalysisAnnotations

        ErrorAnalysisAnnotation getErrorAnalysisAnnotations​(int index)
         Annotations of model error analysis results.
        repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

      • getErrorAnalysisAnnotationsCount

        int getErrorAnalysisAnnotationsCount()
         Annotations of model error analysis results.
        repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

      • getErrorAnalysisAnnotationsOrBuilderList

        List<? extends ErrorAnalysisAnnotationOrBuilder> getErrorAnalysisAnnotationsOrBuilderList()
         Annotations of model error analysis results.
        repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;

      • getErrorAnalysisAnnotationsOrBuilder

        ErrorAnalysisAnnotationOrBuilder getErrorAnalysisAnnotationsOrBuilder​(int index)
         Annotations of model error analysis results.
        repeated .google.cloud.aiplatform.v1beta1.ErrorAnalysisAnnotation error_analysis_annotations = 9;