class_docstr: Metric for binary(0/1) classification, support single label and multiple labels.
  
  # Arguments
  threshold_num: The number of thresholds. The quality of approximation
                 may vary depending on threshold_num.
  
  >>> meter = AUC(20)
  creating: createAUC
class_docstr_tok: ["Metric","for","binary","(","0\/1",")","classification",",","support","single","label","and","multiple","labels",".","#","Arguments","threshold_num",":","The","number","of","thresholds",".","The","quality","of","approximation","may","vary","depending","on","threshold_num",".",">",">",">","meter","=","AUC","(","20",")","creating",":","createAUC"]
code: def __init__(self, threshold_num=200, bigdl_type="float"):
      JavaValue.__init__(self, None, bigdl_type, threshold_num)
  
imports: from bigdl.util.common import *
  from zoo.pipeline.api.keras.base import ZooKerasCreator
label_desc: Use image node_id 1 to create a new AUC object from inherited base classes: JavaValue with example: obj = AUC(threshold_num, bigdl_type)