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Update hyperparameters section (see #3352)
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@ -208,21 +208,24 @@ $ python -m spacy train [lang] [output_path] [train_path] [dev_path]
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### Environment variables for hyperparameters {#train-hyperparams new="2"}
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spaCy lets you set hyperparameters for training via environment variables. This
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is useful, because it keeps the command simple and allows you to
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[create an alias](https://askubuntu.com/questions/17536/how-do-i-create-a-permanent-bash-alias/17537#17537)
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for your custom `train` command while still being able to easily tweak the
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hyperparameters. For example:
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spaCy lets you set hyperparameters for training via environment variables. For
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example:
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```bash
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$ parser_hidden_depth=2 parser_maxout_pieces=1 spacy train [...]
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$ token_vector_width=256 learn_rate=0.0001 spacy train [...]
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```
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```bash
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### Usage with alias
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alias train-parser="spacy train en /output /data /train /dev -n 1000"
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parser_maxout_pieces=1 train-parser
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```
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> #### Usage with alias
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>
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> Environment variables keep the command simple and allow you to to
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> [create an alias](https://askubuntu.com/questions/17536/how-do-i-create-a-permanent-bash-alias/17537#17537)
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> for your custom `train` command while still being able to easily tweak the
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> hyperparameters.
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>
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> ```bash
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> alias train-parser="python -m spacy train en /output /data /train /dev -n 1000"
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> token_vector_width=256 train-parser
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> ```
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| Name | Description | Default |
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| -------------------- | --------------------------------------------------- | ------- |
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