prototorch_models/README.md

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# ProtoTorch Models
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Pre-packaged prototype-based machine learning models using ProtoTorch and
PyTorch-Lightning.
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## Installation
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To install this plugin, first install
[ProtoTorch](https://github.com/si-cim/prototorch) with:
```sh
git clone https://github.com/si-cim/prototorch.git && cd prototorch
pip install -e .
```
and then install the plugin itself with:
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```sh
git clone https://github.com/si-cim/prototorch_models.git && cd prototorch_models
pip install -e .
```
The plugin should then be available for use in your Python environment as
`prototorch.models`.
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## Development setup
It is recommended that you use a virtual environment for development. If you do
not use `conda`, the easiest way to work with virtual environments is by using
[virtualenvwrapper](https://virtualenvwrapper.readthedocs.io/en/latest/). Once
you've installed it with `pip install virtualenvwrapper`, you can do the
following:
```sh
export WORKON_HOME=~/pyenvs
mkdir -p $WORKON_HOME
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source /usr/local/bin/virtualenvwrapper.sh # location may vary
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mkvirtualenv pt
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```
Once you have a virtual environment setup, you can start install the `models`
plugin with:
```sh
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workon pt
git clone git@github.com:si-cim/prototorch_models.git
cd prototorch_models
git checkout dev
pip install -e .[all] # \[all\] if you are using zsh or MacOS
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```
To assist in the development process, you may also find it useful to install
`yapf`, `isort` and `autoflake`. You can install them easily with `pip`.
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## Available models
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- Generalized Learning Vector Quantization (GLVQ)
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- Generalized Relevance Learning Vector Quantization (GRLVQ)
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- Generalized Matrix Learning Vector Quantization (GMLVQ)
- Limited-Rank Matrix Learning Vector Quantization (LiRaMLVQ)
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- Siamese GLVQ
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- Neural Gas (NG)
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## Work in Progress
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- Classification-By-Components Network (CBC)
- Learning Vector Quantization Multi-Layer Network (LVQMLN)
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## Planned models
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- Local-Matrix GMLVQ
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- Generalized Tangent Learning Vector Quantization (GTLVQ)
- Robust Soft Learning Vector Quantization (RSLVQ)
- Probabilistic Learning Vector Quantization (PLVQ)
- Self-Incremental Learning Vector Quantization (SILVQ)
- K-Nearest Neighbors (KNN)
- Learning Vector Quantization 1 (LVQ1)
## FAQ
### How do I update the plugin?
If you have already cloned and installed `prototorch` and the
`prototorch_models` plugin with the `-e` flag via `pip`, all you have to do is
navigate to those folders from your terminal and do `git pull` to update.