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Fix evaluation during training

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This commit is contained in:
Matthew Honnibal 2017-09-24 05:01:03 -05:00
parent dc3a623d00
commit 204b58c864
1 changed files with 4 additions and 4 deletions
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8
spacy/cli/train.py
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@ -105,10 +105,10 @@ def train(cmd, lang, output_dir, train_data, dev_data, n_iter=20, n_sents=0,
nlp.to_disk(epoch_model_path)
nlp_loaded = lang_class(pipeline=pipeline)
nlp_loaded = nlp_loaded.from_disk(epoch_model_path)
scorer = nlp.evaluate(
corpus.dev_docs(
nlp,
gold_preproc=gold_preproc))
scorer = nlp_loaded.evaluate(
list(corpus.dev_docs(
nlp_loaded,
gold_preproc=gold_preproc)))
acc_loc =(output_path / ('model%d' % i) / 'accuracy.json')
with acc_loc.open('w') as file_:
file_.write(json_dumps(scorer.scores))