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Changelog

Unreleased

  • Cleanup: removed unnecessary decorator @unpackable PR #233
  • Stopping criteria: fixed problem with StandardError and enable proper composition of index convergence statuses. Fixed a bug with n_jobs in truncated_montecarlo_shapley. PR #300
  • Shuffling code around to allow for simpler user imports, some cleanup and documentation fixes. PR #284
  • Bug fix: Warn instead of raising an error when n_iterations is less than the size of the dataset in Monte Carlo Least Core PR #281

0.5.0 - 💥 Fixes, nicer interfaces and... more breaking changes 😒

  • Fixed parallel and antithetic Owen sampling for Shapley values. Simplified and extended tests. PR #267
  • Added Scorer class for a cleaner interface. Fixed minor bugs around Group-Testing Shapley, added more tests and switched to cvxpy for the solver. PR #264
  • Generalised stopping criteria for valuation algorithms. Improved classes ValuationResult and Status with more operations. Some minor issues fixed. PR #252
  • Fixed a bug whereby compute_shapley_values would only spawn one process when using n_jobs=-1 and Monte Carlo methods. PR #270
  • Bugfix in RayParallelBackend: wrong semantics for kwargs. PR #268
  • Splitting of problem preparation and solution in Least-Core computation. Umbrella function for LC methods. PR #257
  • Operations on ValuationResult and Status and some cleanup PR #248
  • Bug fix and minor improvements: Fixes bug in TMCS with remote Ray cluster, raises an error for dummy sequential parallel backend with TMCS, clones model inside Utility before fitting by default, with flag clone_before_fit to disable it, catches all warnings in Utility when show_warnings is False. Adds Miner and Gloves toy games utilities PR #247

0.4.0 - 🏭💥 New algorithms and more breaking changes

  • GH action to mark issues as stale PR #201
  • Disabled caching of Utility values as well as repeated evaluations by default PR #211
  • Test and officially support Python version 3.9 and 3.10 PR #208
  • Breaking change: Introduces a class ValuationResult to gather and inspect results from all valuation algorithms PR #214
  • Fixes bug in Influence calculation with multidimensional input and adds new example notebook PR #195
  • Breaking change: Passes the input to MapReduceJob at initialization, removes chunkify_inputs argument from MapReduceJob, removes n_runs argument from MapReduceJob, calls the parallel backend's put() method for each generated chunk in _chunkify(), renames ParallelConfig's num_workers attribute to n_local_workers, fixes a bug in MapReduceJob's chunkification when n_runs >= n_jobs, and defines a sequential parallel backend to run all jobs in the current thread PR #232
  • New method: Implements exact and monte carlo Least Core for data valuation, adds from_arrays() class method to the Dataset and GroupedDataset classes, adds extra_values argument to ValuationResult, adds compute_removal_score() and compute_random_removal_score() helper functions PR #237
  • New method: Group Testing Shapley for valuation, from Jia et al. 2019 PR #240
  • Fixes bug in ray initialization in RayParallelBackend class PR #239
  • Implements "Egalitarian Least Core", adds cvxpy as a dependency and uses it instead of scipy as optimizer PR #243

0.3.0 - 💥 Breaking changes

  • Simplified and fixed powerset sampling and testing PR #181
  • Simplified and fixed publishing to PyPI from CI PR #183
  • Fixed bug in release script and updated contributing docs. PR #184
  • Added Pull Request template PR #185
  • Modified Pull Request template to automatically link PR to issue PR ##186
  • First implementation of Owen Sampling, squashed scores, better testing PR #194
  • Improved documentation on caching, Shapley, caveats of values, bibtex PR #194
  • Breaking change: Rearranging of modules to accommodate for new methods PR #194

0.2.0 - 📚 Better docs

Mostly API documentation and notebooks, plus some bugfixes.

Added

In PR #161:

  • Support for $$ math in sphinx docs.
  • Usage of sphinx extension for external links (introducing new directives like :gh:, :issue: and :tfl: to construct standardised links to external resources).
  • Only update auto-generated documentation files if there are changes. Some minor additions to update_docs.py.
  • Parallelization of exact combinatorial Shapley.
  • Integrated KNN shapley into the main interface compute_shapley_values.

Changed

In PR #161:

  • Improved main docs and Shapley notebooks. Added or fixed many docstrings, readme and documentation for contributors. Typos, grammar and style in code, documentation and notebooks.
  • Internal renaming and rearranging in the parallelization and caching modules.

Fixed

  • Bug in random matrix generation PR #161.
  • Bugs in MapReduceJob's _chunkify and _backpressure methods PR #176.

0.1.0 - 🎉 first release

This is very first release of pyDVL.

It contains:

  • Data Valuation Methods:

    • Leave-One-Out
    • Influence Functions
    • Shapley:
      • Exact Permutation and Combinatorial
      • Montecarlo Permutation and Combinatorial
      • Truncated Montecarlo Permutation

  • Caching of results with Memcached

  • Parallelization of computations with Ray

  • Documentation

  • Notebooks containing examples of different use cases