v0.7.0

📚🆕 Documentation and IF overhaul, new methods and bug fixes 💥🐞

This is our first β release! We have worked hard to deliver improvements across
the board, with a focus on documentation and usability. We have also reworked
the internals of the influence module, improved parallelism and handling of
randomness.

Added

• Implemented solving the Hessian equation via spectral low-rank approximation PR #365
• Enabled parallel computation for Leave-One-Out values PR #406
• Added more abbreviations to documentation PR #415
• Added seed to functions from pydvl.utils.numeric, pydvl.value.shapley and pydvl.value.semivalues. Introduced new type Seed and conversion function ensure_seed_sequence. PR #396

Changed

• Replaced sphinx with mkdocs for documentation. Major overhaul of documentation PR #352
• Made ray an optional dependency, relying on joblib as default parallel backend PR #408
• Decoupled ray.init from ParallelConfig PR #373
• Breaking Changes
  • Signature change: return information about Hessian inversion from compute_influence_factors PR #375
  • Major changes to IF interface and functionality. Foundation for a framework abstraction for IF computation. PR #278, PR #394
  • Renamed semivalues to compute_generic_semivalues PR #413
  • New joblib backend as default instead of ray. Simplify MapReduceJob. PR #355
  • Bump torch dependency for influence package to 2.0. PR #365

Fixed

• Fixes to parallel computation of generic semi-values: properly handle all samplers and stopping criteria, irrespective of parallel backend. PR #372
• Optimize memory usage in IF calculation PR #375
• Fix adding valuation results with overlapping indices and different lengths PR #370
• Fixed bugs in conjugate gradient and linear_solve PR #358
• Fix installation of dev requirements for Python 3.10 PR #382
• Improvements to IF documentation PR #371

New Contributors

• @schroedk made their first contribution in #378

Full Changelog: v0.6.1...v0.7.0