mirror of https://github.com/explosion/spaCy.git
Merge branch 'develop' of https://github.com/explosion/spaCy into develop
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commit
586d695775
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@ -144,6 +144,7 @@ def train(
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max_steps=T_cfg["max_steps"],
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max_steps=T_cfg["max_steps"],
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eval_frequency=T_cfg["eval_frequency"],
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eval_frequency=T_cfg["eval_frequency"],
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raw_text=None,
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raw_text=None,
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exclude=frozen_components
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)
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)
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msg.info(f"Training. Initial learn rate: {optimizer.learn_rate}")
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msg.info(f"Training. Initial learn rate: {optimizer.learn_rate}")
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print_row = setup_printer(T_cfg, nlp)
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print_row = setup_printer(T_cfg, nlp)
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@ -355,7 +355,7 @@ class TextCategorizer(Pipe):
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for cat in y.cats:
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for cat in y.cats:
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self.add_label(cat)
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self.add_label(cat)
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self.require_labels()
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self.require_labels()
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docs = [Doc(Vocab(), words=["hello"])]
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docs = [Doc(self.vocab, words=["hello"])]
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truths, _ = self._examples_to_truth(examples)
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truths, _ = self._examples_to_truth(examples)
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self.set_output(len(self.labels))
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self.set_output(len(self.labels))
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self.model.initialize(X=docs, Y=truths)
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self.model.initialize(X=docs, Y=truths)
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