pyspark/bigdl/optim/optimizer.py
def set_validation(self, batch_size, val_rdd, trigger, val_method=None):
        """
        Configure validation settings.


        :param batch_size: validation batch size
        :param val_rdd: validation dataset
        :param trigger: validation interval
        :param val_method: the ValidationMethod to use,e.g. "Top1Accuracy", "Top5Accuracy", "Loss"
        """
        if val_method is None:
            val_method = [Top1Accuracy()]
        func_name = "setValidation"
        if isinstance(val_rdd, DataSet):
            func_name = "setValidationFromDataSet"
        callBigDlFunc(self.bigdl_type, func_name, self.value, batch_size,
                      trigger, val_rdd, to_list(val_method))
def set_validation(self, batch_size, val_rdd, trigger, val_method=None):
        """
        Configure validation settings.


        :param batch_size: validation batch size
        :param val_rdd: validation dataset
        :param trigger: validation interval
        :param val_method: the ValidationMethod to use,e.g. "Top1Accuracy", "Top5Accuracy", "Loss"
        """
        if val_method is None:
            val_method = [Top1Accuracy()]
        func_name = "setValidation"
        if isinstance(val_rdd, DataSet):
            func_name = "setValidationFromDataSet"
        callBigDlFunc(self.bigdl_type, func_name, self.value, batch_size,
                      trigger, val_rdd, to_list(val_method))
Configure validation settings.


        :param batch_size: validation batch size
        :param val_rdd: validation dataset
        :param trigger: validation interval
        :param val_method: the ValidationMethod to use,e.g. "Top1Accuracy", "Top5Accuracy", "Loss"