Class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

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

Output only. A row in the confusion matrix.

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

Inheritance

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

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addAllExampleCount(Iterable<? extends Integer> values)

public ClassificationProto.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
NameDescription
valuesIterable<? extends java.lang.Integer>

The exampleCount to add.

Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

addExampleCount(int value)

public ClassificationProto.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
NameDescription
valueint

The exampleCount to add.

Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

build()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row build()
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row

buildPartial()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row buildPartial()
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row

clear()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clear()
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

clearExampleCount()

public ClassificationProto.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
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

clone()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder clone()
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

getDefaultInstanceForType()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row getDefaultInstanceForType()
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
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
NameDescription
indexint

The index of the element to return.

Returns
TypeDescription
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
TypeDescription
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
TypeDescription
List<Integer>

A list containing the exampleCount.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row other)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row other)
Parameter
NameDescription
otherClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

setExampleCount(int index, int value)

public ClassificationProto.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
NameDescription
indexint

The index to set the value at.

valueint

The exampleCount to set.

Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

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

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides