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Update comment on Language.begin_training
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@ -347,15 +347,9 @@ class Language(object):
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"""Allocate models, pre-process training data and acquire a trainer and
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"""Allocate models, pre-process training data and acquire a trainer and
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optimizer. Used as a contextmanager.
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optimizer. Used as a contextmanager.
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gold_tuples (iterable): Gold-standard training data.
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get_gold_tuples (function): Function returning gold data
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**cfg: Config parameters.
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**cfg: Config parameters.
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YIELDS (tuple): A trainer and an optimizer.
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returns: An optimizer
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EXAMPLE:
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>>> with nlp.begin_training(gold, use_gpu=True) as (trainer, optimizer):
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>>> for epoch in trainer.epochs(gold):
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>>> for docs, golds in epoch:
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>>> state = nlp.update(docs, golds, sgd=optimizer)
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"""
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"""
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if self.parser:
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if self.parser:
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self.pipeline.append(NeuralLabeller(self.vocab))
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self.pipeline.append(NeuralLabeller(self.vocab))
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