Package com.google.cloud.automl.v1beta1

Class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

com.google.cloud.automl.v1beta1.ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder

All Implemented Interfaces:

ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix

public static final class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>
implements ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

 Confusion matrix of the model running the classification.
 

Protobuf type google.cloud.automl.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix

Method Summary

Modifier and Type	Method	Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addAllAnnotationSpecId(Iterable<String> values)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addAllDisplayName(Iterable<String> values)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addAllRow(Iterable<? extends ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row> values)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addAnnotationSpecId(String value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addAnnotationSpecIdBytes(com.google.protobuf.ByteString value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addDisplayName(String value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addDisplayNameBytes(com.google.protobuf.ByteString value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addRow(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addRow(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addRow(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	addRow(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	addRowBuilder()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	addRowBuilder(int index)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix	build()
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix	buildPartial()
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	clear()
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	clearAnnotationSpecId()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	clearDisplayName()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	clearRow()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	clone()
String	getAnnotationSpecId(int index)	Output only.
com.google.protobuf.ByteString	getAnnotationSpecIdBytes(int index)	Output only.
int	getAnnotationSpecIdCount()	Output only.
com.google.protobuf.ProtocolStringList	getAnnotationSpecIdList()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
String	getDisplayName(int index)	Output only.
com.google.protobuf.ByteString	getDisplayNameBytes(int index)	Output only.
int	getDisplayNameCount()	Output only.
com.google.protobuf.ProtocolStringList	getDisplayNameList()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row	getRow(int index)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder	getRowBuilder(int index)	Output only.
List<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder>	getRowBuilderList()	Output only.
int	getRowCount()	Output only.
List<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row>	getRowList()	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder	getRowOrBuilder(int index)	Output only.
List<? extends ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder>	getRowOrBuilderList()	Output only.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	mergeFrom(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix other)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	mergeFrom(com.google.protobuf.Message other)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	removeRow(int index)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	setAnnotationSpecId(int index, String value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	setDisplayName(int index, String value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	setRow(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row value)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	setRow(int index, ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder builderForValue)	Output only.
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Methods inherited from interface com.google.protobuf.MessageLite.Builder

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

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<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

clear

public ClassificationProto.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.GeneratedMessageV3.Builder<ClassificationProto.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<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

getDefaultInstanceForType

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ClassificationProto.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 ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

setField

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                            Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

clearField

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

clearOneof

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

setRepeatedField

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                                    int index,
                                                                                                    Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

addRepeatedField

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                                                                    Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

mergeFrom

public ClassificationProto.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<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

mergeFrom

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

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

mergeFrom

public ClassificationProto.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<ClassificationProto.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.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Specified by:

getAnnotationSpecIdList in interface ClassificationProto.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.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Specified by:

getAnnotationSpecIdCount in interface ClassificationProto.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.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Specified by:

getAnnotationSpecId in interface ClassificationProto.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.v1beta1.TablesModelMetadata.prediction_type]
 only list of [annotation_spec_display_name-s][] is populated.
 

repeated string annotation_spec_id = 1;

Specified by:

getAnnotationSpecIdBytes in interface ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the annotationSpecId at the given index.

setAnnotationSpecId

public ClassificationProto.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.v1beta1.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 ClassificationProto.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.v1beta1.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 ClassificationProto.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.v1beta1.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 ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder clearAnnotationSpecId()

 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:

This builder for chaining.

addAnnotationSpecIdBytes

public ClassificationProto.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.v1beta1.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.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;

Specified by:

getDisplayNameList in interface ClassificationProto.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.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;

Specified by:

getDisplayNameCount in interface ClassificationProto.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.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;

Specified by:

getDisplayName in interface ClassificationProto.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.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;

Specified by:

getDisplayNameBytes in interface ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the displayName at the given index.

setDisplayName

public ClassificationProto.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.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 to set the value at.

value - The displayName to set.

Returns:

This builder for chaining.

addDisplayName

public ClassificationProto.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.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:

value - The displayName to add.

Returns:

This builder for chaining.

addAllDisplayName

public ClassificationProto.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.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:

values - The displayName to add.

Returns:

This builder for chaining.

clearDisplayName

public ClassificationProto.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.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:

This builder for chaining.

addDisplayNameBytes

public ClassificationProto.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.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:

value - The bytes of the displayName to add.

Returns:

This builder for chaining.

getRowList

public 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;

Specified by:

getRowList in interface ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

Specified by:

getRowCount in interface ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getRow

public 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;

Specified by:

getRow in interface ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

setRow

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRow(int index,
                                                                                          ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

setRow

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder setRow(int index,
                                                                                          ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

addRow

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

addRow

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(int index,
                                                                                          ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

addRow

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

addRow

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder addRow(int index,
                                                                                          ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

addAllRow

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder addAllRow(Iterable<? extends ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

clearRow

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

removeRow

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

getRowBuilder

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

getRowOrBuilder

public 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;

Specified by:

getRowOrBuilder in interface ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

getRowOrBuilderList

public 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;

Specified by:

getRowOrBuilderList in interface ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder

addRowBuilder

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

addRowBuilder

public ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

getRowBuilderList

public List<ClassificationProto.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.v1beta1.ClassificationEvaluationMetrics.ConfusionMatrix.Row row = 2;

setUnknownFields

public final ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>

mergeUnknownFields

public final ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Builder>