hklearn
About
hklearn is a scikit-learn–oriented machine learning layer for multi-sensor hyperspectral geology. It sits on hylite and provides Stack (flatten, preprocess, folds) and ModelSet (features, estimators, ensembles) for classification and regression — mineral abundance, petrophysics, and related mapping tasks.
Demonstration
For a short introduction, see demo.ipynb.
Documentation
Documentation for hklearn can be found here:
https://samthiele.github.io/hklearn/hklearn.html
Citation
If hklearn has been useful for your work, please cite:
1 maintainer
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