After some more digging I found that the example on the PyBrain’s tutorial is completely out of place. When we look at the method signature in the source code we find: def trainUntilConvergence(self, dataset=None, maxEpochs=None, verbose=None, continueEpochs=10, validationProportion=0.25): This means that 25% of the training set is used for validation. Although that is a very … Read more
PyBrain’s Neural Networks can be saved and loaded using either python’s built in pickle/cPickle module, or by using PyBrain’s XML NetworkWriter. # Using pickle from pybrain.tools.shortcuts import buildNetwork import pickle net = buildNetwork(2,4,1) fileObject = open(‘filename’, ‘w’) pickle.dump(net, fileObject) fileObject.close() fileObject = open(‘filename’,’r’) net = pickle.load(fileObject) Note cPickle is implemented in C, and therefore should … Read more
One epoch consists of one full training cycle on the training set. Once every sample in the set is seen, you start again – marking the beginning of the 2nd epoch. This has nothing to do with batch or online training per se. Batch means that you update once at the end of the epoch … Read more
Try to install it as a python package using pip. You said you already tried: sudo apt-get install python-scipy Now run: pip install scipy I ran both and it worked on my Debian-based box.