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Class ClassificationMetrics.Builder (0.122.11)
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Version 0.122.11 keyboard_arrow_down
public static final class ClassificationMetrics . Builder extends GeneratedMessageV3 . Builder<ClassificationMetrics . Builder > implements ClassificationMetricsOrBuilder
Metrics calculated for a classification model.
Protobuf type google.cloud.datalabeling.v1beta1.ClassificationMetrics
Static Methods
getDescriptor()
public static final Descriptors . Descriptor getDescriptor ()
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Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public ClassificationMetrics . Builder addRepeatedField ( Descriptors . FieldDescriptor field , Object value )
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Overrides
build()
public ClassificationMetrics build ()
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buildPartial()
public ClassificationMetrics buildPartial ()
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clear()
public ClassificationMetrics . Builder clear ()
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Overrides
clearConfusionMatrix()
public ClassificationMetrics . Builder clearConfusionMatrix ()
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
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clearField(Descriptors.FieldDescriptor field)
public ClassificationMetrics . Builder clearField ( Descriptors . FieldDescriptor field )
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clearOneof(Descriptors.OneofDescriptor oneof)
public ClassificationMetrics . Builder clearOneof ( Descriptors . OneofDescriptor oneof )
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clearPrCurve()
public ClassificationMetrics . Builder clearPrCurve ()
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
clone()
public ClassificationMetrics . Builder clone ()
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Overrides
getConfusionMatrix()
public ConfusionMatrix getConfusionMatrix ()
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
Returns
getConfusionMatrixBuilder()
public ConfusionMatrix . Builder getConfusionMatrixBuilder ()
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
Returns
getConfusionMatrixOrBuilder()
public ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder ()
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
Returns
getDefaultInstanceForType()
public ClassificationMetrics getDefaultInstanceForType ()
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getDescriptorForType()
public Descriptors . Descriptor getDescriptorForType ()
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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
getPrCurveBuilder()
public PrCurve . Builder getPrCurveBuilder ()
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
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
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.
internalGetFieldAccessorTable()
protected GeneratedMessageV3 . FieldAccessorTable internalGetFieldAccessorTable ()
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Overrides
isInitialized()
public final boolean isInitialized ()
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Overrides
mergeConfusionMatrix(ConfusionMatrix value)
public ClassificationMetrics . Builder mergeConfusionMatrix ( ConfusionMatrix value )
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
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mergeFrom(ClassificationMetrics other)
public ClassificationMetrics . Builder mergeFrom ( ClassificationMetrics other )
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public ClassificationMetrics . Builder mergeFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
mergeFrom(Message other)
public ClassificationMetrics . Builder mergeFrom ( Message other )
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Overrides
mergePrCurve(PrCurve value)
public ClassificationMetrics . Builder mergePrCurve ( PrCurve value )
Precision-recall curve based on ground truth labels, predicted labels, and
scores for the predicted labels.
.google.cloud.datalabeling.v1beta1.PrCurve pr_curve = 1;
Parameter
Returns
mergeUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationMetrics . Builder mergeUnknownFields ( UnknownFieldSet unknownFields )
Parameter
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Overrides
setConfusionMatrix(ConfusionMatrix value)
public ClassificationMetrics . Builder setConfusionMatrix ( ConfusionMatrix value )
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
Parameter
Returns
setConfusionMatrix(ConfusionMatrix.Builder builderForValue)
public ClassificationMetrics . Builder setConfusionMatrix ( ConfusionMatrix . Builder builderForValue )
Confusion matrix of predicted labels vs. ground truth labels.
.google.cloud.datalabeling.v1beta1.ConfusionMatrix confusion_matrix = 2;
Parameter
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setField(Descriptors.FieldDescriptor field, Object value)
public ClassificationMetrics . Builder setField ( Descriptors . FieldDescriptor field , Object value )
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Overrides
setPrCurve(PrCurve value)
public ClassificationMetrics . Builder setPrCurve ( PrCurve value )
Precision-recall curve based on ground truth labels, predicted labels, and
scores for the predicted labels.
.google.cloud.datalabeling.v1beta1.PrCurve pr_curve = 1;
Parameter
Returns
setPrCurve(PrCurve.Builder builderForValue)
public ClassificationMetrics . Builder setPrCurve ( PrCurve . Builder builderForValue )
Precision-recall curve based on ground truth labels, predicted labels, and
scores for the predicted labels.
.google.cloud.datalabeling.v1beta1.PrCurve pr_curve = 1;
Parameter
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setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public ClassificationMetrics . Builder setRepeatedField ( Descriptors . FieldDescriptor field , int index , Object value )
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Overrides
setUnknownFields(UnknownFieldSet unknownFields)
public final ClassificationMetrics . Builder setUnknownFields ( UnknownFieldSet unknownFields )
Parameter
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Overrides
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Last updated 2025-01-28 UTC.
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