Welcome to RAFT’s documentation!

RAFT contains fundamental widely-used algorithms and primitives for data science, graph and machine learning.

Contents:

• RAFT C++ API Reference
  • Core
  • Clustering
  • Linear Algebra
  • Matrix
  • Optimization
  • Random
  • Spatial
  • Sparse
  • Stats
• PyRAFT API Reference
  • RAFT Handle
  • Dask-based Multi-Node Multi-GPU Communicator
• PyLibRAFT API Reference
  • Pairwise Distances

Indices and tables

• Index

• Module Index

• Search Page