def main(args):
if len(args) < 2:
Log.w("Arguments Error")
return
path = args[0]
iteration = int(args[1])
Log.i("Training file: %s" % path)
Log.i("----------------")
sentences = c.readconllfile(path)
featdict, weights = train(sentences, iteration)
c.save(featdict, weights)
def main(args):
if len(args) < 2:
Log.w("Arguments Error")
return
path = args[0]
mfile = args[1]
Log.i("Training file: %s" % path)
Log.i("----------------")
sentences = c.readconllfile(path)
Log.i("Model file: %s" % mfile)
Log.i("----------------")
featdict, weights = c.load(mfile)
output, score = parse(sentences, weights)
for each in output:
for token in each:
print(token)
print()
Log.i("[DONE] accuracy: {:.2%}".format(score))
