Package com.google.cloud.automl.v1

Class ClassificationEvaluationMetrics.ConfusionMatrix.Builder

    • Method Detail

      • getDescriptor

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

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.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.GeneratedMessageV3.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

      • 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

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

      • 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.

      • 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;

      • 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;

      • 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;

      • 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;