Class ClassificationEvaluationMetrics.ConfusionMatrix.Row (2.3.10)

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

Output only. A row in the confusion matrix.

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

Inheritance

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

Static Fields

EXAMPLE_COUNT_FIELD_NUMBER

public static final int EXAMPLE_COUNT_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row getDefaultInstance()
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row

getDescriptor()

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

newBuilder()

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilder()
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

newBuilder(ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilder(ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype)
Parameter
NameDescription
prototypeClassificationEvaluationMetrics.ConfusionMatrix.Row
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

parseDelimitedFrom(InputStream input)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ClassificationEvaluationMetrics.ConfusionMatrix.Row parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<ClassificationEvaluationMetrics.ConfusionMatrix.Row> parser()
Returns
TypeDescription
Parser<Row>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getDefaultInstanceForType()

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

getParserForType()

public Parser<ClassificationEvaluationMetrics.ConfusionMatrix.Row> getParserForType()
Returns
TypeDescription
Parser<Row>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
TypeDescription
UnknownFieldSet
Overrides

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilderForType()
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder toBuilder()
Returns
TypeDescription
ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides Exceptions
TypeDescription
IOException