pyspark/bigdl/optim/optimizer.py
def set_traindata(self, training_rdd, batch_size):
        """
        Set new training dataset, for optimizer reuse

        :param training_rdd: the training dataset
        :param batch_size: training batch size
        :return:
        """
        callBigDlFunc(self.bigdl_type, "setTrainData", self.value,
                     training_rdd, batch_size)
def set_traindata(self, training_rdd, batch_size):
        callBigDlFunc(self.bigdl_type, "setTrainData", self.value,
                     training_rdd, batch_size)
def set_traindata ( self , training_rdd , batch_size ) : callBigDlFunc ( self . bigdl_type , "setTrainData" , self . value , training_rdd , batch_size )
Set new training dataset, for optimizer reuse

        :param training_rdd: the training dataset
        :param batch_size: training batch size
        :return:
Set new training dataset for optimizer reuse