Class ClassificationMetrics (0.167.0) 

public final class ClassificationMetrics extends GeneratedMessageV3 implements ClassificationMetricsOrBuilder

Metrics calculated for a classification model.

Protobuf type google.cloud.datalabeling.v1beta1.ClassificationMetrics

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ClassificationMetrics

Static Fields

CONFUSION_MATRIX_FIELD_NUMBER

public static final int CONFUSION_MATRIX_FIELD_NUMBER
Field Value
Type Description
int

PR_CURVE_FIELD_NUMBER

public static final int PR_CURVE_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static ClassificationMetrics getDefaultInstance()
Returns
Type Description
ClassificationMetrics

getDescriptor()

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

newBuilder()

public static ClassificationMetrics.Builder newBuilder()
Returns
Type Description
ClassificationMetrics.Builder

newBuilder(ClassificationMetrics prototype)

public static ClassificationMetrics.Builder newBuilder(ClassificationMetrics prototype)
Parameter
Name Description
prototype ClassificationMetrics
Returns
Type Description
ClassificationMetrics.Builder

parseDelimitedFrom(InputStream input)

public static ClassificationMetrics parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static ClassificationMetrics parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static ClassificationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static ClassificationMetrics parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static ClassificationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static ClassificationMetrics parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static ClassificationMetrics parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static ClassificationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static ClassificationMetrics parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static ClassificationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
ClassificationMetrics
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<ClassificationMetrics> parser()
Returns
Type Description
Parser<ClassificationMetrics>

Methods

equals(Object obj)

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

getConfusionMatrix()

public ConfusionMatrix getConfusionMatrix()

Confusion matrix of predicted labels vs. ground truth labels.

.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;

Returns
Type Description
ConfusionMatrix

The confusionMatrix.

getConfusionMatrixOrBuilder()

public ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder()

Confusion matrix of predicted labels vs. ground truth labels.

.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;

Returns
Type Description
ConfusionMatrixOrBuilder

getDefaultInstanceForType()

public ClassificationMetrics getDefaultInstanceForType()
Returns
Type Description
ClassificationMetrics

getParserForType()

public Parser<ClassificationMetrics> getParserForType()
Returns
Type Description
Parser<ClassificationMetrics>
Overrides

getPrCurve()

public PrCurve getPrCurve()

Precision-recall curve based on ground truth labels, predicted labels, and scores for the predicted labels.

.google.cloud.datalabeling.v1beta1.PrCurve pr_curve = 1;

Returns
Type Description
PrCurve

The prCurve.

getPrCurveOrBuilder()

public PrCurveOrBuilder getPrCurveOrBuilder()

Precision-recall curve based on ground truth labels, predicted labels, and scores for the predicted labels.

.google.cloud.datalabeling.v1beta1.PrCurve pr_curve = 1;

Returns
Type Description
PrCurveOrBuilder

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

hasConfusionMatrix()

public boolean hasConfusionMatrix()

Confusion matrix of predicted labels vs. ground truth labels.

.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;

Returns
Type Description
boolean

Whether the confusionMatrix field is set.

hasPrCurve()

public boolean hasPrCurve()

Precision-recall curve based on ground truth labels, predicted labels, and scores for the predicted labels.

.google.cloud.datalabeling.v1beta1.PrCurve pr_curve = 1;

Returns
Type Description
boolean

Whether the prCurve field is set.

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 ClassificationMetrics.Builder newBuilderForType()
Returns
Type Description
ClassificationMetrics.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected ClassificationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
ClassificationMetrics.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

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

toBuilder()

public ClassificationMetrics.Builder toBuilder()
Returns
Type Description
ClassificationMetrics.Builder

writeTo(CodedOutputStream output)

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