mirror of https://github.com/explosion/spaCy.git
simplify expression
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20b0ec5dcf
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@ -152,7 +152,7 @@ def train(
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exclude=frozen_components,
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)
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msg.info(f"Training. Initial learn rate: {optimizer.learn_rate}")
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with nlp.select_pipes(disable=[*frozen_components]):
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with nlp.select_pipes(disable=frozen_components):
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print_row, finalize_logger = train_logger(nlp)
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try:
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@ -164,7 +164,7 @@ def train(
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progress.close()
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print_row(info)
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if is_best_checkpoint and output_path is not None:
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with nlp.select_pipes(disable=[*frozen_components]):
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with nlp.select_pipes(disable=frozen_components):
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update_meta(T_cfg, nlp, info)
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with nlp.use_params(optimizer.averages):
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nlp.to_disk(output_path / "model-best")
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