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public final class ClassificationMetrics extends GeneratedMessageV3 implements ClassificationMetricsOrBuilderMetrics 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 |