class_docstr: Preprocessing defines data transform action during feature preprocessing. Python wrapper for
  the scala Preprocessing
class_docstr_tok: ["Preprocessing","defines","data","transform","action","during","feature","preprocessing",".","Python","wrapper","for","the","scala","Preprocessing"]
code: def __init__(self, bigdl_type="float", *args):
      self.bigdl_type = bigdl_type
      self.value = callZooFunc(
          bigdl_type, JavaValue.jvm_class_constructor(self), *args
      )
  
imports: from bigdl.util.common import *
  from zoo.common.utils import callZooFunc
  from bigdl.dataset.dataset import DataSet
  from pyspark.serializers import CloudPickleSerializer
  import sys
  import math
  import warnings
label_desc: Use image node_id 1 to create a new Preprocessing object from inherited base classes: JavaValue with example: obj = Preprocessing(bigdl_type)