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The thermoencoder git repo is available as PyPi package

pip install thermoencoder

Check the examples folder for notebooks.

X = [[0, 0], [1, 1], [3, 5]]  # two ordinal features with 3 samples
from thermoencoder import ThermoEncoder
enc = ThermoEncoder()
Z = enc.fit_transform(X)  # encode
X_back = enc.inverse_transform(Z)  # decode

• Check syntax: flake8 --ignore=F401
• Run Unit Tests: python -W ignore -m unittest discover
• Remove .pyc files: find . -type f -name "*.pyc" | xargs rm
• Remove __pycache__ folders: find . -type d -name "__pycache__" | xargs rm -rf
• Upload to PyPi: python setup.py sdist upload -r pypi
• Upload to PyPi with twine: python setup.py sdist && twine upload -r pypi dist/*

• Notebooks to profile python code are in the profile folder

Please open an issue for support.

Please contribute using Github Flow. Create a branch, add commits, and open a pull request.