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Evaluate loaded class, to ensure save/load works
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@ -84,11 +84,11 @@ def train(_, lang, output_dir, train_data, dev_data, n_iter=20, n_sents=0,
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pbar.update(len(docs))
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pbar.update(len(docs))
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with nlp.use_params(optimizer.averages):
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with nlp.use_params(optimizer.averages):
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scorer = nlp.evaluate(corpus.dev_docs(nlp, gold_preproc=False))
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with (output_path / ('model%d.pickle' % i)).open('wb') as file_:
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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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dill.dump(nlp, file_, -1)
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with (output_path / ('model%d.pickle' % i)).open('rb') as file_:
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nlp_loaded = dill.load(file_)
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scorer = nlp_loaded.evaluate(corpus.dev_docs(nlp_loaded, gold_preproc=False))
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print_progress(i, losses, scorer.scores)
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print_progress(i, losses, scorer.scores)
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finally:
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finally:
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print("Saving model...")
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print("Saving model...")
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