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spaCy
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* Create POS model dir in training script

This commit is contained in:
Matthew Honnibal 2015-09-08 15:36:23 +02:00
parent ef58607a99
commit b2e82e55f6
1 changed files with 6 additions and 0 deletions
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6
bin/parser/train.py
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@ -85,12 +85,16 @@ def train(Language, gold_tuples, model_dir, n_iter=15, feat_set=u'basic',
use_orig_arc_eager=False):
dep_model_dir = path.join(model_dir, 'deps')
ner_model_dir = path.join(model_dir, 'ner')
pos_model_dir = path.join(model_dir, 'pos')
if path.exists(dep_model_dir):
shutil.rmtree(dep_model_dir)
if path.exists(ner_model_dir):
shutil.rmtree(ner_model_dir)
if path.exists(pos_model_dir):
shutil.rmtree(pos_model_dir)
os.mkdir(dep_model_dir)
os.mkdir(ner_model_dir)
os.mkdir(pos_model_dir)
Config.write(dep_model_dir, 'config', features=feat_set, seed=seed,
labels=ArcEager.get_labels(gold_tuples),
@ -140,7 +144,9 @@ def train(Language, gold_tuples, model_dir, n_iter=15, feat_set=u'basic',
print('%d:\t%d\t%.3f\t%.3f\t%.3f\t%.3f' % (itn, loss, scorer.uas, scorer.ents_f,
scorer.tags_acc,
scorer.token_acc))
print('end training')
nlp.end_training(model_dir)
print('done')
def evaluate(Language, gold_tuples, model_dir, gold_preproc=False, verbose=False,
beam_width=None):