pyspark/bigdl/models/ml_pipeline/dl_classifier.py
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
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
def setBatchSize ( self , val ) : self . _paramMap [ self . batchSize ] = val pythonBigDL_method_name = "setBatchSize" + self . __class__ . __name__ callBigDlFunc ( self . bigdl_type , pythonBigDL_method_name , self . value , val ) return self
Sets the value of :py:attr:`batchSize`.
Sets the value of : py : attr : batchSize .