train_gda fails when rr and adapt=True

[emilswiderek]

Hey, I am learning network using following definition of training function:
self.network.trainf = nl.train.train_gda
But with this parameters:
error = self.network.train(trainingSample, target, goal=0.01, lr=0.001, adapt=True, lr_inc=1.1, lr_dec=0.6, max_perf_inc=2.8, rr=0.3)
I receive an error:
File "/usr/local/lib/python3.4/dist-packages/neurolab/core.py", line 165, in train return self.trainf(self, *args, **kwargs) File "/usr/local/lib/python3.4/dist-packages/neurolab/core.py", line 349, in __call__ train(net, *args) File "/usr/local/lib/python3.4/dist-packages/neurolab/train/gd.py", line 66, in __call__ e = reg_error(e, self.rr, net) NameError: name 'reg_error' is not defined
I have now found out that adapt=True is causing the problem, because when i set it to False, everything works fine.