Uses of Class
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.Builder
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Uses of ClassificationEvaluationMetrics.Builder in com.google.cloud.automl.v1
Methods in com.google.cloud.automl.v1 that return ClassificationEvaluationMetrics.BuilderModifier and TypeMethodDescriptionClassificationEvaluationMetrics.Builder.addAllAnnotationSpecId(Iterable<String> values) Output only.ClassificationEvaluationMetrics.Builder.addAllConfidenceMetricsEntry(Iterable<? extends ClassificationEvaluationMetrics.ConfidenceMetricsEntry> values) Output only.ClassificationEvaluationMetrics.Builder.addAnnotationSpecId(String value) Output only.ClassificationEvaluationMetrics.Builder.addAnnotationSpecIdBytes(com.google.protobuf.ByteString value) Output only.ClassificationEvaluationMetrics.Builder.addConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry value) Output only.ClassificationEvaluationMetrics.Builder.addConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue) Output only.ClassificationEvaluationMetrics.Builder.addConfidenceMetricsEntry(ClassificationEvaluationMetrics.ConfidenceMetricsEntry value) Output only.ClassificationEvaluationMetrics.Builder.addConfidenceMetricsEntry(ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue) Output only.ClassificationEvaluationMetrics.Builder.clear()ClassificationEvaluationMetrics.Builder.clearAnnotationSpecId()Output only.ClassificationEvaluationMetrics.Builder.clearAuPrc()Output only.ClassificationEvaluationMetrics.Builder.clearAuRoc()Output only.ClassificationEvaluationMetrics.Builder.clearConfidenceMetricsEntry()Output only.ClassificationEvaluationMetrics.Builder.clearConfusionMatrix()Output only.ClassificationEvaluationMetrics.Builder.clearLogLoss()Output only.ModelEvaluation.Builder.getClassificationEvaluationMetricsBuilder()Model evaluation metrics for image, text, video and tables classification.ClassificationEvaluationMetrics.Builder.mergeConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value) Output only.ClassificationEvaluationMetrics.Builder.mergeFrom(ClassificationEvaluationMetrics other) ClassificationEvaluationMetrics.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ClassificationEvaluationMetrics.Builder.mergeFrom(com.google.protobuf.Message other) ClassificationEvaluationMetrics.newBuilder()ClassificationEvaluationMetrics.newBuilder(ClassificationEvaluationMetrics prototype) ClassificationEvaluationMetrics.newBuilderForType()protected ClassificationEvaluationMetrics.BuilderClassificationEvaluationMetrics.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent) ClassificationEvaluationMetrics.Builder.removeConfidenceMetricsEntry(int index) Output only.ClassificationEvaluationMetrics.Builder.setAnnotationSpecId(int index, String value) Output only.ClassificationEvaluationMetrics.Builder.setAuPrc(float value) Output only.ClassificationEvaluationMetrics.Builder.setAuRoc(float value) Output only.ClassificationEvaluationMetrics.Builder.setConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry value) Output only.ClassificationEvaluationMetrics.Builder.setConfidenceMetricsEntry(int index, ClassificationEvaluationMetrics.ConfidenceMetricsEntry.Builder builderForValue) Output only.ClassificationEvaluationMetrics.Builder.setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix value) Output only.ClassificationEvaluationMetrics.Builder.setConfusionMatrix(ClassificationEvaluationMetrics.ConfusionMatrix.Builder builderForValue) Output only.ClassificationEvaluationMetrics.Builder.setLogLoss(float value) Output only.ClassificationEvaluationMetrics.toBuilder()Methods in com.google.cloud.automl.v1 with parameters of type ClassificationEvaluationMetrics.BuilderModifier and TypeMethodDescriptionModelEvaluation.Builder.setClassificationEvaluationMetrics(ClassificationEvaluationMetrics.Builder builderForValue) Model evaluation metrics for image, text, video and tables classification.