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REDDIT-BINARY
Shakespeare
LICENSE.md
README.md
run_comparison.sh
test_knn.py
test_supervised_algorithms.py
test_unsupervised_algorithms.py

README.md

TML—Experiments in topological machine learning

This repository contains some of my experiments in topological machine learning. At present, the following things are here:

  • Persistence diagrams for all of Shakespeare's plays
  • Kernel matrices and distances matrices for...
    • persistence indicator functions
    • Wasserstein matchings
  • Basic classifier code

You need Python and scikit-learn to run the experiments in this repository. In order to reproduce the results of this blog post, it should be sufficient to call

./run_comparison.sh

from the main directory of this repository.

I hope to populate this repository with more results and more applications in order to show the benefits of topological methods in machine learning.

Feel free to contact me for discussions & requests!