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fix conv-depth parameter

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svlandeg 2020-05-29 09:56:29 +02:00
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commit 5f0a91cf37
1 changed files with 12 additions and 12 deletions
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website/docs/api/cli.md
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@ -455,7 +455,7 @@ improvement.
```bash ```bash
$ python -m spacy pretrain [texts_loc] [vectors_model] [output_dir] $ python -m spacy pretrain [texts_loc] [vectors_model] [output_dir]
[--width] [--depth] [--cnn-window] [--cnn-pieces] [--use-chars] [--sa-depth] [--width] [--conv-depth] [--cnn-window] [--cnn-pieces] [--use-chars] [--sa-depth]
[--embed-rows] [--loss_func] [--dropout] [--batch-size] [--max-length] [--embed-rows] [--loss_func] [--dropout] [--batch-size] [--max-length]
[--min-length] [--seed] [--n-iter] [--use-vectors] [--n-save-every] [--min-length] [--seed] [--n-iter] [--use-vectors] [--n-save-every]
[--init-tok2vec] [--epoch-start] [--init-tok2vec] [--epoch-start]
@ -467,7 +467,7 @@ $ python -m spacy pretrain [texts_loc] [vectors_model] [output_dir]
| `vectors_model` | positional | Name or path to spaCy model with vectors to learn from. | | `vectors_model` | positional | Name or path to spaCy model with vectors to learn from. |
| `output_dir` | positional | Directory to write models to on each epoch. | | `output_dir` | positional | Directory to write models to on each epoch. |
| `--width`, `-cw` | option | Width of CNN layers. | | `--width`, `-cw` | option | Width of CNN layers. |
| `--depth`, `-cd` | option | Depth of CNN layers. | | `--conv-depth`, `-cd` | option | Depth of CNN layers. |
| `--cnn-window`, `-cW` <Tag variant="new">2.2.2</Tag> | option | Window size for CNN layers. | | `--cnn-window`, `-cW` <Tag variant="new">2.2.2</Tag> | option | Window size for CNN layers. |
| `--cnn-pieces`, `-cP` <Tag variant="new">2.2.2</Tag> | option | Maxout size for CNN layers. `1` for [Mish](https://github.com/digantamisra98/Mish). | | `--cnn-pieces`, `-cP` <Tag variant="new">2.2.2</Tag> | option | Maxout size for CNN layers. `1` for [Mish](https://github.com/digantamisra98/Mish). |
| `--use-chars`, `-chr` <Tag variant="new">2.2.2</Tag> | flag | Whether to use character-based embedding. | | `--use-chars`, `-chr` <Tag variant="new">2.2.2</Tag> | flag | Whether to use character-based embedding. |
@ -542,7 +542,7 @@ $ python -m spacy init-model [lang] [output_dir] [--jsonl-loc] [--vectors-loc]
``` ```
| Argument | Type | Description | | Argument | Type | Description |
| ----------------------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | -------------------------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `lang` | positional | Model language [ISO code](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes), e.g. `en`. | | `lang` | positional | Model language [ISO code](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes), e.g. `en`. |
| `output_dir` | positional | Model output directory. Will be created if it doesn't exist. | | `output_dir` | positional | Model output directory. Will be created if it doesn't exist. |
| `--jsonl-loc`, `-j` | option | Optional location of JSONL-formatted [vocabulary file](/api/annotation#vocab-jsonl) with lexical attributes. | | `--jsonl-loc`, `-j` | option | Optional location of JSONL-formatted [vocabulary file](/api/annotation#vocab-jsonl) with lexical attributes. |