Package com.google.cloud.automl.v1

Class ClassificationEvaluationMetrics.ConfusionMatrix.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Builder
All Implemented Interfaces:
ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
ClassificationEvaluationMetrics.ConfusionMatrix
public static final class ClassificationEvaluationMetrics.ConfusionMatrix.Builder extends com.google.protobuf.GeneratedMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder> implements ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
 Confusion matrix of the model running the classification.
Protobuf type google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

    • clear

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

    • getDefaultInstanceForType

      public ClassificationEvaluationMetrics.ConfusionMatrix getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public ClassificationEvaluationMetrics.ConfusionMatrix build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public ClassificationEvaluationMetrics.ConfusionMatrix buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • mergeFrom

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

    • mergeFrom

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeFrom(ClassificationEvaluationMetrics.ConfusionMatrix other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

    • mergeFrom

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>
      Throws:
      IOException

    • getAnnotationSpecIdList

      public com.google.protobuf.ProtocolStringList 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;
      Specified by:
      getAnnotationSpecIdList in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Returns:
      A list containing the annotationSpecId.

    • getAnnotationSpecIdCount

      public 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;
      Specified by:
      getAnnotationSpecIdCount in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Returns:
      The count of annotationSpecId.

    • getAnnotationSpecId

      public 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;
      Specified by:
      getAnnotationSpecId in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The annotationSpecId at the given index.

    • getAnnotationSpecIdBytes

      public 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;
      Specified by:
      getAnnotationSpecIdBytes in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the annotationSpecId at the given index.

    • setAnnotationSpecId

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setAnnotationSpecId(int index, String value)
       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 to set the value at.
      value - The annotationSpecId to set.
      Returns:
      This builder for chaining.

    • addAnnotationSpecId

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAnnotationSpecId(String value)
       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:
      value - The annotationSpecId to add.
      Returns:
      This builder for chaining.

    • addAllAnnotationSpecId

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAllAnnotationSpecId(Iterable<String> values)
       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:
      values - The annotationSpecId to add.
      Returns:
      This builder for chaining.

    • clearAnnotationSpecId

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearAnnotationSpecId()
       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:
      This builder for chaining.

    • addAnnotationSpecIdBytes

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value)
       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:
      value - The bytes of the annotationSpecId to add.
      Returns:
      This builder for chaining.

    • getDisplayNameList

      public com.google.protobuf.ProtocolStringList 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;
      Specified by:
      getDisplayNameList in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Returns:
      A list containing the displayName.

    • getDisplayNameCount

      public 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;
      Specified by:
      getDisplayNameCount in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Returns:
      The count of displayName.

    • getDisplayName

      public 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;
      Specified by:
      getDisplayName in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Parameters:
      index - The index of the element to return.
      Returns:
      The displayName at the given index.

    • getDisplayNameBytes

      public 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;
      Specified by:
      getDisplayNameBytes in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder
      Parameters:
      index - The index of the value to return.
      Returns:
      The bytes of the displayName at the given index.

    • setDisplayName

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setDisplayName(int index, String value)
       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 to set the value at.
      value - The displayName to set.
      Returns:
      This builder for chaining.

    • addDisplayName

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addDisplayName(String value)
       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:
      value - The displayName to add.
      Returns:
      This builder for chaining.

    • addAllDisplayName

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAllDisplayName(Iterable<String> values)
       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:
      values - The displayName to add.
      Returns:
      This builder for chaining.

    • clearDisplayName

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearDisplayName()
       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:
      This builder for chaining.

    • addDisplayNameBytes

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addDisplayNameBytes(com.google.protobuf.ByteString value)
       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:
      value - The bytes of the displayName to add.
      Returns:
      This builder for chaining.

    • getRowList

      public 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;
      Specified by:
      getRowList in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

    • getRowCount

      public 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;
      Specified by:
      getRowCount in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

    • getRow

      public 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;
      Specified by:
      getRow in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

    • setRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value)
       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;

    • setRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)
       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;

    • addRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row value)
       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;

    • addRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value)
       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;

    • addRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)
       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;

    • addRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)
       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;

    • addAllRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAllRow(Iterable<? extends ClassificationEvaluationMetrics.ConfusionMatrix.Row> values)
       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;

    • clearRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearRow()
       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;

    • removeRow

      public ClassificationEvaluationMetrics.ConfusionMatrix.Builder removeRow(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;

    • getRowBuilder

      public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder getRowBuilder(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;

    • getRowOrBuilder

      public 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;
      Specified by:
      getRowOrBuilder in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

    • getRowOrBuilderList

      public 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;
      Specified by:
      getRowOrBuilderList in interface ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

    • addRowBuilder

      public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addRowBuilder()
       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;

    • addRowBuilder

      public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addRowBuilder(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;

    • getRowBuilderList

      public List<ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder> getRowBuilderList()
       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;