explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-11-04 09:57:26 +03:00
Code Issues Packages Projects Releases Wiki Activity

* Fix redundant options in train.py

Browse Source
This commit is contained in:
Matthew Honnibal 2015-07-17 22:38:05 +02:00
parent e29daea85f
commit a6ff7e6ca4
1 changed files with 3 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

13
bin/parser/train.py
View File

@ -207,29 +207,22 @@ def write_parses(Language, dev_loc, model_dir, out_loc, beam_width=None):
out_loc=("Out location", "option", "o", str),
n_sents=("Number of training sentences", "option", "n", int),
n_iter=("Number of training iterations", "option", "i", int),
beam_width=("Number of candidates to maintain in the beam", "option", "k", int),
verbose=("Verbose error reporting", "flag", "v", bool),
debug=("Debug mode", "flag", "d", bool),
use_orig_arc_eager=("Use the original, monotonic arc-eager system", "flag", "m", bool)
)
def main(train_loc, dev_loc, model_dir, n_sents=0, n_iter=15, out_loc="", verbose=False,
debug=False, corruption_level=0.0, gold_preproc=False, beam_width=1,
eval_only=False, use_orig_arc_eager=False):
if use_orig_arc_eager:
English.ParserTransitionSystem = TreeArcEager
debug=False, corruption_level=0.0, gold_preproc=False, eval_only=False):
if not eval_only:
gold_train = list(read_json_file(train_loc))
train(English, gold_train, model_dir,
feat_set='basic' if not debug else 'debug',
gold_preproc=gold_preproc, n_sents=n_sents,
corruption_level=corruption_level, n_iter=n_iter,
beam_width=beam_width, verbose=verbose,
use_orig_arc_eager=use_orig_arc_eager)
verbose=verbose)
#if out_loc:
# write_parses(English, dev_loc, model_dir, out_loc, beam_width=beam_width)
scorer = evaluate(English, list(read_json_file(dev_loc)),
model_dir, gold_preproc=gold_preproc, verbose=verbose,
beam_width=beam_width)
model_dir, gold_preproc=gold_preproc, verbose=verbose)
print 'TOK', scorer.token_acc
print 'POS', scorer.tags_acc
print 'UAS', scorer.uas