This MR adds the following:
train.py which is now the executable.
train_config which has the tagger name in it. With this, the scripts can work without relying on the args input which tagger was used. The args options is still there but not with
--dl1. Thats now the
--dips etc. to
--tagger dips for
train_config to make the Learning Rate Reducer configurable. You can set all the parameters in the
NN_structure if you want to. Otherwise the current hard-coded values are used as default.
train_*.py with the models and all inside to a folder called
models. There you can change everything you like (just to clean up and sort everything a bit).
closes #81 (closed)