public static final class ClassificationEvaluationMetrics.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder> implements ClassificationEvaluationMetricsOrBuilder
Model evaluation metrics for classification problems. Note: For Video Classification this metrics only describe quality of the Video Classification predictions of "segment_classification" type.Protobuf type
google.cloud.automl.v1.ClassificationEvaluationMetricsgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic ClassificationEvaluationMetrics build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic ClassificationEvaluationMetrics buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic ClassificationEvaluationMetrics.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder mergeFrom(ClassificationEvaluationMetrics other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public ClassificationEvaluationMetrics.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ClassificationEvaluationMetrics.Builder>IOExceptionpublic float getAuPrc()
Output only. The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation.
float au_prc = 1;getAuPrc in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.Builder setAuPrc(float value)
Output only. The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation.
float au_prc = 1;value - The auPrc to set.public ClassificationEvaluationMetrics.Builder clearAuPrc()
Output only. The Area Under Precision-Recall Curve metric. Micro-averaged for the overall evaluation.
float au_prc = 1;public float getAuRoc()
Output only. The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.
float au_roc = 6;getAuRoc in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.Builder setAuRoc(float value)
Output only. The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.
float au_roc = 6;value - The auRoc to set.public ClassificationEvaluationMetrics.Builder clearAuRoc()
Output only. The Area Under Receiver Operating Characteristic curve metric. Micro-averaged for the overall evaluation.
float au_roc = 6;public float getLogLoss()
Output only. The Log Loss metric.
float log_loss = 7;getLogLoss in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.Builder setLogLoss(float value)
Output only. The Log Loss metric.
float log_loss = 7;value - The logLoss to set.public ClassificationEvaluationMetrics.Builder clearLogLoss()
Output only. The Log Loss metric.
float log_loss = 7;public List<ClassificationEvaluationMetrics.ConfidenceMetricsEntry> getConfidenceMetricsEntryList()
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryList in interface ClassificationEvaluationMetricsOrBuilderpublic int getConfidenceMetricsEntryCount()
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryCount in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.ConfidenceMetricsEntry getConfidenceMetricsEntry(int index)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntry in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.Builder setConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder setConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry value)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder addConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder addAllConfidenceMetricsEntry(Iterable<? extends ClassificationEvaluationMetrics.ConfidenceMetricsEntry> values)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder clearConfidenceMetricsEntry()
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.Builder removeConfidenceMetricsEntry(int index)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder getConfidenceMetricsEntryBuilder(int index)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntryOrBuilder(int index)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryOrBuilder in interface ClassificationEvaluationMetricsOrBuilderpublic List<? extends ClassificationEvaluationMetrics.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntryOrBuilderList()
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
getConfidenceMetricsEntryOrBuilderList in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntryBuilder()
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntryBuilder(int index)
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public List<ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder> getConfidenceMetricsEntryBuilderList()
Output only. Metrics for each confidence_threshold in 0.00,0.05,0.10,...,0.95,0.96,0.97,0.98,0.99 and position_threshold = INT32_MAX_VALUE. ROC and precision-recall curves, and other aggregated metrics are derived from them. The confidence metrics entries may also be supplied for additional values of position_threshold, but from these no aggregated metrics are computed.
repeated .google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfidenceMetricsEntry confidence_metrics_entry = 3;
public boolean hasConfusionMatrix()
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
hasConfusionMatrix in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.ConfusionMatrix getConfusionMatrix()
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
getConfusionMatrix in interface ClassificationEvaluationMetricsOrBuilderpublic ClassificationEvaluationMetrics.Builder setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value)
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
public ClassificationEvaluationMetrics.Builder setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix.Builder builderForValue)
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
public ClassificationEvaluationMetrics.Builder mergeConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value)
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
public ClassificationEvaluationMetrics.Builder clearConfusionMatrix()
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
public ClassificationEvaluationMetrics.ConfusionMatrix.Builder getConfusionMatrixBuilder()
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
public ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder getConfusionMatrixOrBuilder()
Output only. Confusion matrix of the evaluation. Only set for MULTICLASS classification problems where number of labels is no more than 10. Only set for model level evaluation, not for evaluation per label.
.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix confusion_matrix = 4;
getConfusionMatrixOrBuilder in interface ClassificationEvaluationMetricsOrBuilderpublic com.google.protobuf.ProtocolStringList getAnnotationSpecIdList()
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;getAnnotationSpecIdList in interface ClassificationEvaluationMetricsOrBuilderpublic int getAnnotationSpecIdCount()
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;getAnnotationSpecIdCount in interface ClassificationEvaluationMetricsOrBuilderpublic String getAnnotationSpecId(int index)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;getAnnotationSpecId in interface ClassificationEvaluationMetricsOrBuilderindex - The index of the element to return.public com.google.protobuf.ByteString getAnnotationSpecIdBytes(int index)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;getAnnotationSpecIdBytes in interface ClassificationEvaluationMetricsOrBuilderindex - The index of the value to return.public ClassificationEvaluationMetrics.Builder setAnnotationSpecId(int index, String value)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;index - The index to set the value at.value - The annotationSpecId to set.public ClassificationEvaluationMetrics.Builder addAnnotationSpecId(String value)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;value - The annotationSpecId to add.public ClassificationEvaluationMetrics.Builder addAllAnnotationSpecId(Iterable<String> values)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;values - The annotationSpecId to add.public ClassificationEvaluationMetrics.Builder clearAnnotationSpecId()
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;public ClassificationEvaluationMetrics.Builder addAnnotationSpecIdBytes(com.google.protobuf.ByteString value)
Output only. The annotation spec ids used for this evaluation.
repeated string annotation_spec_id = 5;value - The bytes of the annotationSpecId to add.public final ClassificationEvaluationMetrics.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>public final ClassificationEvaluationMetrics.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ClassificationEvaluationMetrics.Builder>Copyright © 2025 Google LLC. All rights reserved.