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Thermometer Encoding for ordinal variables

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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 sdist upload -r pypi
  • Upload to PyPi with twine: python 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.

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