Class ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder (2.67.0) 

public static final class ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder extends GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder> implements ClassificationEvaluationMetrics.ConfusionMatrix.RowOrBuilder

Output only. A row in the confusion matrix.

Protobuf type google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addAllExampleCount(Iterable<? extends Integer> values)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addAllExampleCount(Iterable<? extends Integer> values)

Output only. Value of the specific cell in the confusion matrix. The number of values each row has (i.e. the length of the row) is equal to the length of the annotation_spec_id field or, if that one is not populated, length of the display_name field.

repeated int32 example_count = 1;

Parameter
Name Description
values Iterable<? extends java.lang.Integer>

The exampleCount to add.
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

addExampleCount(int value)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addExampleCount(int value)

Output only. Value of the specific cell in the confusion matrix. The number of values each row has (i.e. the length of the row) is equal to the length of the annotation_spec_id field or, if that one is not populated, length of the display_name field.

repeated int32 example_count = 1;

Parameter
Name Description
value int

The exampleCount to add.
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

build()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row build()
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row

buildPartial()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row buildPartial()
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row

clear()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clear()
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

clearExampleCount()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearExampleCount()

Output only. Value of the specific cell in the confusion matrix. The number of values each row has (i.e. the length of the row) is equal to the length of the annotation_spec_id field or, if that one is not populated, length of the display_name field.

repeated int32 example_count = 1;

Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

clone()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clone()
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

getDefaultInstanceForType()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row getDefaultInstanceForType()
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getExampleCount(int index)

public int getExampleCount(int index)

Output only. Value of the specific cell in the confusion matrix. The number of values each row has (i.e. the length of the row) is equal to the length of the annotation_spec_id field or, if that one is not populated, length of the display_name field.

repeated int32 example_count = 1;

Parameter
Name Description
index int

The index of the element to return.
Returns
Type Description
int

The exampleCount at the given index.

getExampleCountCount()

public int getExampleCountCount()

Output only. Value of the specific cell in the confusion matrix. The number of values each row has (i.e. the length of the row) is equal to the length of the annotation_spec_id field or, if that one is not populated, length of the display_name field.

repeated int32 example_count = 1;

Returns
Type Description
int

The count of exampleCount.

getExampleCountList()

public List<Integer> getExampleCountList()

Output only. Value of the specific cell in the confusion matrix. The number of values each row has (i.e. the length of the row) is equal to the length of the annotation_spec_id field or, if that one is not populated, length of the display_name field.

repeated int32 example_count = 1;

Returns
Type Description
List<Integer>

A list containing the exampleCount.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(ClassificationEvaluationMetrics.ConfusionMatrix.Row other)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(ClassificationEvaluationMetrics.ConfusionMatrix.Row other)
Parameter
Name Description
other ClassificationEvaluationMetrics.ConfusionMatrix.Row
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

setExampleCount(int index, int value)

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

Output only. Value of the specific cell in the confusion matrix. The number of values each row has (i.e. the length of the row) is equal to the length of the annotation_spec_id field or, if that one is not populated, length of the display_name field.

repeated int32 example_count = 1;

Parameters
Name Description
index int

The index to set the value at.
value int

The exampleCount to set.
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides