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