Package com.google.cloud.automl.v1beta1

Interface ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

    • Method Detail

      • getAnnotationSpecIdList

        List<String> getAnnotationSpecIdList()
         Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION

 [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
        repeated string annotation_spec_id = 1;
        Returns:
        A list containing the annotationSpecId.

      • getAnnotationSpecIdCount

        int getAnnotationSpecIdCount()
         Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION

 [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
        repeated string annotation_spec_id = 1;
        Returns:
        The count of annotationSpecId.

      • getAnnotationSpecId

        String getAnnotationSpecId​(int index)
         Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION

 [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
        repeated string annotation_spec_id = 1;
        Parameters:
        index - The index of the element to return.
        Returns:
        The annotationSpecId at the given index.

      • getAnnotationSpecIdBytes

        com.google.protobuf.ByteString getAnnotationSpecIdBytes​(int index)
         Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION

 [prediction_type][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
        repeated string annotation_spec_id = 1;
        Parameters:
        index - The index of the value to return.
        Returns:
        The bytes of the annotationSpecId at the given index.

      • getDisplayNameList

        List<String> getDisplayNameList()
         Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION

 [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
        repeated string display_name = 3;
        Returns:
        A list containing the displayName.

      • getDisplayNameCount

        int getDisplayNameCount()
         Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION

 [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
        repeated string display_name = 3;
        Returns:
        The count of displayName.

      • getDisplayName

        String getDisplayName​(int index)
         Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION

 [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
        repeated string display_name = 3;
        Parameters:
        index - The index of the element to return.
        Returns:
        The displayName at the given index.

      • getDisplayNameBytes

        com.google.protobuf.ByteString getDisplayNameBytes​(int index)
         Output only. Display name of the annotation specs used in the confusion
 matrix, as they were at the moment of the evaluation. For Tables
 CLASSIFICATION

 [prediction_type-s][google.cloud.automl.v1beta1.TablesModelMetadata.prediction_type],
 distinct values of the target column at the moment of the model
 evaluation are populated here.
        repeated string display_name = 3;
        Parameters:
        index - The index of the value to return.
        Returns:
        The bytes of the displayName at the given index.

      • getRowList

        List<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row> getRowList()
         Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
        repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

      • getRow

        ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row getRow​(int index)
         Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
        repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

      • getRowCount

        int getRowCount()
         Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
        repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

      • getRowOrBuilderList

        List<? extends ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder> getRowOrBuilderList()
         Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
        repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

      • getRowOrBuilder

        ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder getRowOrBuilder​(int index)
         Output only. Rows in the confusion matrix. The number of rows is equal to
 the size of `annotation_spec_id`.
 `row[i].example_count[j]` is the number of examples that have ground
 truth of the `annotation_spec_id[i]` and are predicted as
 `annotation_spec_id[j]` by the model being evaluated.
        repeated .google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;