Uses of Class
com.google.cloud.automl.v1.ClassificationEvaluationMetrics.ConfusionMatrix.Row
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Uses of ClassificationEvaluationMetrics.ConfusionMatrix.Row in com.google.cloud.automl.v1
Methods in com.google.cloud.automl.v1 that return ClassificationEvaluationMetrics.ConfusionMatrix.RowModifier and TypeMethodDescriptionClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.build()ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.buildPartial()ClassificationEvaluationMetrics.ConfusionMatrix.Row.getDefaultInstance()ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.getDefaultInstanceForType()ClassificationEvaluationMetrics.ConfusionMatrix.Row.getDefaultInstanceForType()ClassificationEvaluationMetrics.ConfusionMatrix.Builder.getRow(int index) Output only.ClassificationEvaluationMetrics.ConfusionMatrix.getRow(int index) Output only.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder.getRow(int index) Output only.ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseDelimitedFrom(InputStream input) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(byte[] data) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(com.google.protobuf.ByteString data) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(com.google.protobuf.CodedInputStream input) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(InputStream input) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(ByteBuffer data) ClassificationEvaluationMetrics.ConfusionMatrix.Row.parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) Methods in com.google.cloud.automl.v1 that return types with arguments of type ClassificationEvaluationMetrics.ConfusionMatrix.RowModifier and TypeMethodDescriptioncom.google.protobuf.Parser<ClassificationEvaluationMetrics.ConfusionMatrix.Row>ClassificationEvaluationMetrics.ConfusionMatrix.Row.getParserForType()ClassificationEvaluationMetrics.ConfusionMatrix.Builder.getRowList()Output only.ClassificationEvaluationMetrics.ConfusionMatrix.getRowList()Output only.ClassificationEvaluationMetrics.ConfusionMatrixOrBuilder.getRowList()Output only.static com.google.protobuf.Parser<ClassificationEvaluationMetrics.ConfusionMatrix.Row>ClassificationEvaluationMetrics.ConfusionMatrix.Row.parser()Methods in com.google.cloud.automl.v1 with parameters of type ClassificationEvaluationMetrics.ConfusionMatrix.RowModifier and TypeMethodDescriptionClassificationEvaluationMetrics.ConfusionMatrix.Builder.addRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value) Output only.ClassificationEvaluationMetrics.ConfusionMatrix.Builder.addRow(ClassificationEvaluationMetrics.ConfusionMatrix.Row value) Output only.ClassificationEvaluationMetrics.ConfusionMatrix.Row.Builder.mergeFrom(ClassificationEvaluationMetrics.ConfusionMatrix.Row other) ClassificationEvaluationMetrics.ConfusionMatrix.Row.newBuilder(ClassificationEvaluationMetrics.ConfusionMatrix.Row prototype) ClassificationEvaluationMetrics.ConfusionMatrix.Builder.setRow(int index, ClassificationEvaluationMetrics.ConfusionMatrix.Row value) Output only.Method parameters in com.google.cloud.automl.v1 with type arguments of type ClassificationEvaluationMetrics.ConfusionMatrix.RowModifier and TypeMethodDescriptionClassificationEvaluationMetrics.ConfusionMatrix.Builder.addAllRow(Iterable<? extends ClassificationEvaluationMetrics.ConfusionMatrix.Row> values) Output only.