_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-persim 0.3.2
Propagated dependencies: python-deprecated@1.2.14 python-hopcroftkarp@1.2.5-1.2846e1d python-joblib@1.4.2 python-matplotlib@3.8.2 python-numpy@1.24.4 python-scikit-learn@1.4.2 python-scipy@1.12.0
Channel: guix
Location: gnu/packages/machine-learning.scm (gnu packages machine-learning)
Home page: https://persim.scikit-tda.org
Licenses: Expat
Synopsis: Tools for analyzing persistence diagrams in Python
Description:

This package includes a variety of tools used to analyze persistence diagrams. It currently houses implementations of

  • Persistence images

  • Persistence landscapes

  • Bottleneck distance

  • Modified Gromov–Hausdorff distance

  • Sliced Wasserstein kernel

  • Heat kernel

  • Diagram plotting

Total results: 1