def do_continue(self, line):
'''
Will continue the training of the currently selected model
'''
if not self.has_model_selected():
print 'please select or create a model'
return False
m = ModelManager(self.prompt[:-1])
state = m.load_current_state(add_hidden=True)
model = m.load_currently_selected_model()
train.train2(m, state, model)
def do_train(self, line):
'''
Will start the training using the configuration stored in state.txt
'''
if not self.has_model_selected():
print 'please select or create a model'
return False
parser = argparse.ArgumentParser()
parser.add_argument('-gui', action='store_true',
help='The size of the training set given by a floating point number between 0 and 1.',
default=False)
args = parser.parse_args(line)
m = ModelManager(self.prompt[:-1])
state = m.load_current_state(add_hidden=True)
train.train2(m, state, None)
print
