class_docstr: Mixin for param batchSize: batch size.
class_docstr_tok: ["Mixin","for","param","batchSize",":","batch","size","."]
docstr: Sets the value of :py:attr:`batchSize`.
code: def setBatchSize(self, val):
      """
      Sets the value of :py:attr:`batchSize`.
      """
      self._paramMap[self.batchSize] = val
      pythonBigDL_method_name = "setBatchSize" + self.__class__.__name__
      callBigDlFunc(
          self.bigdl_type, pythonBigDL_method_name, self.value, val
      )
      return self
  
imports: from pyspark.ml.pipeline import Estimator, Model
  from pyspark.ml.param.shared import *
  from bigdl.dllib.utils.common import *
  import sys
label_desc: Use image node_id 2 for calling the HasBatchSize obj's underlying member method code with example usage: obj.setBatchSize(val) and returns: self