Lesson 3 discussion

[simoneva]

If it is the statefarm one then the solution is to save the predictions to a bcolz array file after each batch:

Statefarm kaggle comp

This is great, thanks Bahram. Thing is, this is training the model - I just want to create intermediate features without blowing up the RAM. Looking through documentation & forums now, but haven’t quite found the way how. So now I know how to create features/predictions on individual or on a specific number of batches: for batch in test_batches: ... or for ...: test_batches.next() or xyz = model.predict_generator(test_batches, step) where step is (I think) a multiple of batch_size, and/or…