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Remove redundant pickling during training
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@ -99,8 +99,6 @@ def train(cmd, lang, output_dir, train_data, dev_data, n_iter=20, n_sents=0,
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util.set_env_log(False)
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epoch_model_path = output_path / ('model%d' % i)
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nlp.to_disk(epoch_model_path)
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with (output_path / ('model%d.pickle' % i)).open('wb') as file_:
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dill.dump(nlp, file_, -1)
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nlp_loaded = lang_class(pipeline=pipeline)
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nlp_loaded = nlp_loaded.from_disk(epoch_model_path)
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scorer = nlp_loaded.evaluate(
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