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Update hyperparameters section (see #3352)

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Ines Montani 2019-03-06 14:40:30 +01:00
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website/docs/api/cli.md
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@ -208,21 +208,24 @@ $ python -m spacy train [lang] [output_path] [train_path] [dev_path]
### Environment variables for hyperparameters {#train-hyperparams new="2"} ### Environment variables for hyperparameters {#train-hyperparams new="2"}
spaCy lets you set hyperparameters for training via environment variables. This spaCy lets you set hyperparameters for training via environment variables. For
is useful, because it keeps the command simple and allows you to example:
[create an alias](https://askubuntu.com/questions/17536/how-do-i-create-a-permanent-bash-alias/17537#17537)
for your custom `train` command while still being able to easily tweak the
hyperparameters. For example:
```bash ```bash
$ parser_hidden_depth=2 parser_maxout_pieces=1 spacy train [...] $ token_vector_width=256 learn_rate=0.0001 spacy train [...]
``` ```
```bash > #### Usage with alias
### Usage with alias >
alias train-parser="spacy train en /output /data /train /dev -n 1000" > Environment variables keep the command simple and allow you to to
parser_maxout_pieces=1 train-parser > [create an alias](https://askubuntu.com/questions/17536/how-do-i-create-a-permanent-bash-alias/17537#17537)
``` > for your custom `train` command while still being able to easily tweak the
> hyperparameters.
>
> ```bash
> alias train-parser="python -m spacy train en /output /data /train /dev -n 1000"
> token_vector_width=256 train-parser
> ```
| Name | Description | Default | | Name | Description | Default |
| -------------------- | --------------------------------------------------- | ------- | | -------------------- | --------------------------------------------------- | ------- |