Self-Organizing Map algorithm.
Project description
som-learn
Implementation of Self-Organizing Map algorithm [1] that is compatible with scikit-learn API. It provides a wrapper class around Somoclu.
Documentation
Installation documentation, API documentation, and examples can be found on the documentation.
Dependencies
som-learn is tested to work under Python 3.6+. The dependencies are the following:
scikit-learn(>=0.21)
somoclu(>=1.7.5)
Additionally, to run the examples, you need matplotlib(>=2.0.0) and pandas(>=0.22).
Installation
som-learn is currently available on the PyPi’s repository and you can install it via pip:
pip install -U som-learn
The package is released also in Anaconda Cloud platform:
conda install -c algowit som-learn
If you prefer, you can clone it and run the setup.py file. Use the following commands to get a copy from GitHub and install all dependencies:
git clone https://github.com/AlgoWit/som-learn.git cd som-learn pip install .
Or install using pip and GitHub:
pip install -U git+https://github.com/AlgoWit/som-learn.git
Testing
After installation, you can use pytest to run the test suite:
make test
References:
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