Warning: this code is no longer maintained as it is now part of the Gudhi library. See https://gudhi.inria.fr/python/latest/cover_complex_sklearn_isk_ref.html and https://github.com/GUDHI/TDA-tutorial/blob/master/Tuto-GUDHI-cover-complex.ipynb.
This package provides code for various statistics to be run on the Mapper. Install with:
git clone https://github.com/MathieuCarriere/statmapper.git && cd statmapper && pip install .
The functions included in this package allow to compute representative nodes for the different topological features of a Mapper computed with sklearn_tda, as well as an evaluation of their significance. A complete example is provided in the notebook example/statmapper.ipynb. This package has the same dependencies as sklearn_tda.