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
.pycfiles: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.