Class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row (2.43.0)

public static final class ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row extends GeneratedMessageV3 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<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row

Static Fields

EXAMPLE_COUNT_FIELD_NUMBER

public static final int EXAMPLE_COUNT_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row getDefaultInstance()
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row

getDescriptor()

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

newBuilder()

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilder()
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

newBuilder(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilder(ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype)
Parameter
Name Description
prototype ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

parseDelimitedFrom(InputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row> parser()
Returns
Type Description
Parser<Row>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getDefaultInstanceForType()

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

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.

getParserForType()

public Parser<ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row> getParserForType()
Returns
Type Description
Parser<Row>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilderForType()
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder toBuilder()
Returns
Type Description
ClassificationProto.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException