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spaCy
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Replace labels that didn't make freq cutoff

This commit is contained in:
Matthew Honnibal 2018-02-21 15:59:22 +01:00
parent eff4ae809a
commit 4dc0fc9954
1 changed files with 7 additions and 0 deletions
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7
examples/training/conllu.py
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@ -208,6 +208,13 @@ def main(spacy_model, conllu_train_loc, text_train_loc, conllu_dev_loc, text_dev
if tag is not None: if tag is not None:
nlp.tagger.add_label(tag) nlp.tagger.add_label(tag)
optimizer = nlp.begin_training(lambda: golds_to_gold_tuples(docs, golds)) optimizer = nlp.begin_training(lambda: golds_to_gold_tuples(docs, golds))
# Replace labels that didn't make the frequency cutoff
actions = set(nlp.parser.labels)
label_set = set([act.split('-')[1] for act in actions if '-' in act])
for gold in golds:
for i, label in enumerate(gold.labels):
if label is not None and label not in label_set:
gold.labels[i] = label.split('||')[0]
n_train_words = sum(len(doc) for doc in docs) n_train_words = sum(len(doc) for doc in docs)
print(n_train_words) print(n_train_words)
print("Begin training") print("Begin training")