Better model

Much simpler model definition. Just do:

class MyNewModel(PVModel):
    KERNEL_SIZE =   [25, 15, 5] # list of sizes
    CHANNELS_SIZE = [20, 5, 1] # List of channels (always ends in 1 for a single output)
    DEFAULTS = {'dropout_1':0.15, 'dropout_3':0.35} # Optional dropouts (can be set when instantiating the model, as well)

The models do have different channel names; if you want to load saved parameters from an old model with the new model definitions, do:

from model.core import modernize
d = torch.load(name)
d = modernize(d) # Only use if using the new Model definitions!
model.load_state_dict(d)

Better plotting, with extensive printouts.

Revisited model saving; fixed option saving, adding model to saved output files.