class_docstr: Measures top5 accuracy for multi-class classification.
  
  # Arguments
  zero_based_label: Boolean. Whether target labels start from 0. Default is True.
                    If False, labels start from 1.
  
  >>> acc = Top5Accuracy()
  creating: createZooKerasTop5Accuracy
class_docstr_tok: ["Measures","top5","accuracy","for","multi-class","classification",".","#","Arguments","zero_based_label",":","Boolean",".","Whether","target","labels","start","from","0",".","Default","is","True",".","If","False",",","labels","start","from","1",".",">",">",">","acc","=","Top5Accuracy","(",")","creating",":","createZooKerasTop5Accuracy"]
code: def __init__(self, zero_based_label=True, bigdl_type="float"):
      super(Top5Accuracy, self).__init__(
          None, bigdl_type, zero_based_label
      )
  
imports: from bigdl.dllib.utils.common import *
  from bigdl.dllib.keras.base import ZooKerasCreator
label_desc: Use image node_id 1 to create a new Top5Accuracy object from inherited base classes: ZooKerasCreator, JavaValue with example: obj = Top5Accuracy(zero_based_label, bigdl_type)