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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 > ClassificationMetricsImplements
ClassificationMetricsOrBuilderStatic Fields
CONFUSION_MATRIX_FIELD_NUMBER
public static final int CONFUSION_MATRIX_FIELD_NUMBER
Type | Description |
int |
PR_CURVE_FIELD_NUMBER
public static final int PR_CURVE_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static ClassificationMetrics getDefaultInstance()
Type | Description |
ClassificationMetrics |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static ClassificationMetrics.Builder newBuilder()
Type | Description |
ClassificationMetrics.Builder |
newBuilder(ClassificationMetrics prototype)
public static ClassificationMetrics.Builder newBuilder(ClassificationMetrics prototype)
Name | Description |
prototype | ClassificationMetrics |
Type | Description |
ClassificationMetrics.Builder |
parseDelimitedFrom(InputStream input)
public static ClassificationMetrics parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ClassificationMetrics |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ClassificationMetrics parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ClassificationMetrics |
Type | Description |
IOException |
parseFrom(byte[] data)
public static ClassificationMetrics parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
ClassificationMetrics |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ClassificationMetrics parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ClassificationMetrics |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static ClassificationMetrics parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
ClassificationMetrics |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ClassificationMetrics parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ClassificationMetrics |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static ClassificationMetrics parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
ClassificationMetrics |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static ClassificationMetrics parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ClassificationMetrics |
Type | Description |
IOException |
parseFrom(InputStream input)
public static ClassificationMetrics parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ClassificationMetrics |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ClassificationMetrics parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ClassificationMetrics |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static ClassificationMetrics parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
ClassificationMetrics |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ClassificationMetrics parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ClassificationMetrics |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<ClassificationMetrics> parser()
Type | Description |
Parser<ClassificationMetrics> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getConfusionMatrix()
public ConfusionMatrix getConfusionMatrix()
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
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;
Type | Description |
ConfusionMatrixOrBuilder |
getDefaultInstanceForType()
public ClassificationMetrics getDefaultInstanceForType()
Type | Description |
ClassificationMetrics |
getParserForType()
public Parser<ClassificationMetrics> getParserForType()
Type | Description |
Parser<ClassificationMetrics> |
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;
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;
Type | Description |
PrCurveOrBuilder |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
hasConfusionMatrix()
public boolean hasConfusionMatrix()
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
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;
Type | Description |
boolean | Whether the prCurve field is set. |
hashCode()
public int hashCode()
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
newBuilderForType()
public ClassificationMetrics.Builder newBuilderForType()
Type | Description |
ClassificationMetrics.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ClassificationMetrics.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
ClassificationMetrics.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public ClassificationMetrics.Builder toBuilder()
Type | Description |
ClassificationMetrics.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |