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Update model after optimising it instead of waiting
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@ -391,9 +391,10 @@ class Language(object):
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for name, proc in pipes:
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if not hasattr(proc, 'update'):
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continue
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grads = {}
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proc.update(docs, golds, drop=drop, sgd=get_grads, losses=losses)
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for key, (W, dW) in grads.items():
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sgd(W, dW, key=key)
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for key, (W, dW) in grads.items():
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sgd(W, dW, key=key)
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def preprocess_gold(self, docs_golds):
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"""Can be called before training to pre-process gold data. By default,
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