pyspark/bigdl/optim/optimizer.py
def add(self, scheduler, max_iteration, bigdl_type="float"):
        """
        Add a learning rate scheduler to the contained `schedules`

        :param scheduler: learning rate scheduler to be add
        :param max_iteration: iteration numbers this scheduler will run
        """
        return callBigDlFunc(bigdl_type, "addScheduler", self.value, scheduler, max_iteration)
def add(self, scheduler, max_iteration, bigdl_type="float"):
        return callBigDlFunc(bigdl_type, "addScheduler", self.value, scheduler, max_iteration)
def add ( self , scheduler , max_iteration , bigdl_type = "float" ) : return callBigDlFunc ( bigdl_type , "addScheduler" , self . value , scheduler , max_iteration )
Add a learning rate scheduler to the contained `schedules`

        :param scheduler: learning rate scheduler to be add
        :param max_iteration: iteration numbers this scheduler will run
Add a learning rate scheduler to the contained schedules