Package com.google.cloud.automl.v1

Interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ClassificationEvaluationMetrics.ConfusionMatrix, ClassificationEvaluationMetrics.ConfusionMatrix.Builder
Enclosing class:
ClassificationEvaluationMetrics
public static interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getAnnotationSpecIdList

      List<String> getAnnotationSpecIdList()
       Output only. IDs of the annotation specs used in the confusion matrix.
 For Tables CLASSIFICATION
 [prediction_type][google.cloud.automl.v1p1beta.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.v1p1beta.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.v1p1beta.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.v1p1beta.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.v1p1beta.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.v1p1beta.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.v1p1beta.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.v1p1beta.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<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.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

    • getRow

      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.v1.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.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

    • getRowOrBuilderList

      List<? extends 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.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

    • getRowOrBuilder

      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.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;