diversipy

diversipy is a collection of algorithms for (super-uniform) sampling in hypercubes and polytopes, and for selecting diverse subsets and measuring diversity.

For further documentation see the submodules.

Contents:

• cube — Uniform sampling from the unit hypercube
  • Sampling algorithms
  • Helper functions
• simplex — Uniform sampling on the unit simplex
• polytope — Uniform sampling from convex polytopes
• subset — Select diverse subsets
  • Part-and-select algorithm
  • Greedy algorithms
• indicator — Useful diversity indicators
  • Diversity indicators
  • Related concepts
• distance — Some distance functions

Indices and tables

• Index
• Module Index
• Search Page