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!