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	Merge pull request #6523 from adrianeboyd/bugfix/remove-use-chars
Remove non-working --use-chars from train CLI
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				|  | @ -38,7 +38,6 @@ from .. import about | |||
|     conv_depth=("Depth of CNN layers of Tok2Vec component", "option", "cd", int), | ||||
|     cnn_window=("Window size for CNN layers of Tok2Vec component", "option", "cW", int), | ||||
|     cnn_pieces=("Maxout size for CNN layers of Tok2Vec component. 1 for Mish", "option", "cP", int), | ||||
|     use_chars=("Whether to use character-based embedding of Tok2Vec component", "flag", "chr", bool), | ||||
|     bilstm_depth=("Depth of BiLSTM layers of Tok2Vec component (requires PyTorch)", "option", "lstm", int), | ||||
|     embed_rows=("Number of embedding rows of Tok2Vec component", "option", "er", int), | ||||
|     n_iter=("Number of iterations", "option", "n", int), | ||||
|  | @ -78,7 +77,6 @@ def train( | |||
|     conv_depth=4, | ||||
|     cnn_window=1, | ||||
|     cnn_pieces=3, | ||||
|     use_chars=False, | ||||
|     bilstm_depth=0, | ||||
|     embed_rows=2000, | ||||
|     n_iter=30, | ||||
|  | @ -294,7 +292,6 @@ def train( | |||
|         cfg["cnn_maxout_pieces"] = cnn_pieces | ||||
|         cfg["embed_size"] = embed_rows | ||||
|         cfg["conv_window"] = cnn_window | ||||
|         cfg["subword_features"] = not use_chars | ||||
|         optimizer = nlp.begin_training(lambda: corpus.train_tuples, **cfg) | ||||
| 
 | ||||
|     nlp._optimizer = None | ||||
|  |  | |||
|  | @ -384,7 +384,6 @@ $ python -m spacy train [lang] [output_path] [train_path] [dev_path] | |||
| | `--conv-depth`, `-cd` <Tag variant="new">2.2.4</Tag>            | option        | Depth of CNN layers of `Tok2Vec` component.                                                                                                                       | | ||||
| | `--cnn-window`, `-cW` <Tag variant="new">2.2.4</Tag>            | option        | Window size for CNN layers of `Tok2Vec` component.                                                                                                                | | ||||
| | `--cnn-pieces`, `-cP` <Tag variant="new">2.2.4</Tag>            | option        | Maxout size for CNN layers of `Tok2Vec` component.                                                                                                                | | ||||
| | `--use-chars`, `-chr` <Tag variant="new">2.2.4</Tag>            | flag          | Whether to use character-based embedding of `Tok2Vec` component.                                                                                                  | | ||||
| | `--bilstm-depth`, `-lstm` <Tag variant="new">2.2.4</Tag>        | option        | Depth of BiLSTM layers of `Tok2Vec` component (requires PyTorch).                                                                                                 | | ||||
| | `--embed-rows`, `-er` <Tag variant="new">2.2.4</Tag>            | option        | Number of embedding rows of `Tok2Vec` component.                                                                                                                  | | ||||
| | `--noise-level`, `-nl`                                          | option        | Float indicating the amount of corruption for data augmentation.                                                                                                  | | ||||
|  |  | |||
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