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Releases

Skada v0.5.0

Skada v0.5.0 Release Highlights

This update brings significant enhancements and new features:

  1. API Enhancement: Fix target labels masking in shallow methods.
  2. API Enhancement: Remove the functions pack_train and pack_test for DomainAwareDataset.
  3. New Feature: Add DeepDADataset to deal with the dataset for Deep DA.
  4. Function Enhancement: Improve DomainAwareDataset to deal with tensors.
  5. New Scorer: Introduce MaNo scorer.
  6. Enhancement: Improve the dependencies of skada.
  7. Enhancement: Fix CodeCov for the main branch.

What's Changed

  • [MRG] Fix Github action version v2 -> v4 and fix test with skorch update by @tgnassou in #292
  • [WIP] Add new scorer: MaNoScorer by @ambroiseodt in #289
  • [MRG] renaming, issue #294 by @mbarneche in #299
  • [MRG] typo fix, issue #297 by @mbarneche in #298
  • [MRG] Fix test after sklearn update where the text of a Value error changed by @tgnassou in #303
  • [MRG] Add DeepDADataset by @mbarneche in #302
  • [MRG] added skada.datasets.DomainAwareDataset to the doc by @arthurdrk in #307
  • Move Contributing to root by @lionelkusch in #316
  • Update version number and add logos of projects by @rflamary in #319
  • Update README.md by @rflamary in #320
  • Update README.md by @rflamary in #321
  • Update pyproject.toml by @ambroiseodt in #318
  • Update link for download some dataset by @lionelkusch in #324
  • Add dependabot by @lionelkusch in #325
  • Fix git action of version by @lionelkusch in #327
  • [DOC] fix sklearn FutureWarning in check_array. by @vloison in #322
  • Update yml linter configuration by @lionelkusch in #331
  • Fix CodeCov parameters by @lionelkusch in #329
  • [MRG] Update CONTRIBUTING.md by @ambroiseodt in #333
  • Include pack_train and pack_test in pack to get one method by @MellotApolline in #317
  • Improve warnings in doc by @antoinecollas in #336
  • Add missing classes and functions to the doc by @MellotApolline in #335
  • Separate the test of dataset to other tests by @lionelkusch in #332
  • Fix codecov for main branch by @lionelkusch in #340
  • Add automatic labeler to PR by @rflamary in #346
  • Fix Labeler by @rflamary in #347
  • Use Flag for improving the management of CodeCov by @lionelkusch in #343
  • [MRG] Add automatic target label masking to prevent data leakage by @YanisLalou in #330
  • Bump the actions group across 1 directory with 3 updates by @dependabot[bot] in #349
  • [MRG] Handle torch tensor in DomainAwareDataset by @tom-yneuro in #337
  • [MRG] Make DeepDADAtaset deal with regression masking by @tgnassou in #352

New Contributors

  • @mbarneche made their first contribution in #299
  • @arthurdrk made their first contribution in #307
  • @lionelkusch made their first contribution in #316
  • @MellotApolline made their first contribution in #317
  • @dependabot[bot] made their first contribution in #349
  • @tom-yneuro made their first contribution in #337

Full Changelog: https://github.com/scikit-adaptation/skada/compare/0.4.0...0.5.0

Skada v0.4.0

This update brings significant enhancements and new features:

  1. New Shallow Methods: MongeAlignment and JCPOT
  2. New Deep Methods: CAN, MCC, MDD, SPA, SourceOnly, and TargetOnly models.
  3. Scorers: Introduced MixValScorer and improved scorer compatibility with deep models.
  4. Subsampling Transformers: Added StratifiedDomainSubsampler and DomainSubsampler.
  5. Deep Models: Enhanced batch handling, fixed predict_proba, stabilized MDD loss, and fixed Deep Coral.
  6. Docs & Design: Added a contributor guide, new logo, and documentation updates.

What's Changed

  • Update README.md with zenodo badge by @rflamary in #216
  • [MRG] Add multi-domain Monge alignment and JCPOT Target shift method by @rflamary in #180
  • [MRG] Add a parameter base_criterion to deep models by @tgnassou in #217
  • [MRG] Add new scorer: MixValScorer by @YanisLalou in #221
  • [MRG] Fix mixval by @antoinecollas in #222
  • [MRG] Fix batch issue when generating features + add sample_weight in deep models by @YanisLalou in #220
  • [MRG] Allow model selection cv to handle nd inputs by @YanisLalou in #225
  • [MRG] In DEV, reshape features to 2D instead of input by @YanisLalou in #226
  • [MRG] Add utilities functions to the doc by @antoinecollas in #227
  • Add new logo! by @tgnassou in #223
  • Fix ImportanceWeightedScorer compatibility with deep learning models by @YanisLalou in #232
  • [MRG] fix param for Deepjdot by @tgnassou in #234
  • [MRG] Add SourceOnly and TargetOnly models by @tgnassou in #233
  • [MRG] Fix docstring for the regulariation parameter of DA loss by @tgnassou in #230
  • [MRG] Fix order of feature acquisition for deep module by @tgnassou in #235
  • [MRG] Add recentering in DeepCoral by @tgnassou in #242
  • [MRG] Add DomainOnlySampler and DomainOnlyDataloader for SourceOnly ou TargetOnly deep methods by @tgnassou in #243
  • [MRG] Modify sampler to take the max of the two domains by @tgnassou in #241
  • Fix: Dev scorer wasn't working with SourceOnly and TargetOnly by @YanisLalou in #244
  • [MRG] Fix deep coral by @antoinecollas in #246
  • [MRG] Harmonize fixtures by @antoinecollas in #248
  • [MRG] Bug fix when None in make_da_pipeline by @antoinecollas in #256
  • [MRG] Handle edge case Mixvalscorer by @YanisLalou in #257
  • [MRG] Add CAN Method by @YanisLalou in #251
  • [MRG] Uncomment MMDTarSReweightAdapter tests by @YanisLalou in #260
  • [MRG] Enhancements to DomainAwareNet and Scorers to handle allow_source arg by @YanisLalou in #258
  • [MRG] Subsampling transformer by @rflamary in #259
  • [MRG] Add MCC method by @tgnassou in #250
  • [MRG] Fix callback issue in CAN by @YanisLalou in #265
  • [MRG] fix predict_proba for deep method by @tgnassou in #247
  • Batchnormfix2 by @antoinedemathelin in #266
  • [MRG] Handle scalar sample domain by @antoinecollas in #267
  • [MRG] Add DomainAndLabelStratifiedSubsampleTransformer + Fix DomainStratifiedSubsampleTransformer by @YanisLalou in #268
  • [MRG] Check if sample_domain have only unique domains indexes in check_*_domain by @apmellot in #261
  • [MRG] Add epsilon in MCC to prevent log(0) by @YanisLalou in #270
  • [MRG] Handle edge case for DAN by @YanisLalou in #271
  • [MRG] Handle edge cases for CAN by @YanisLalou in #269
  • [MRG] Add MDD method by @ambroiseodt in #263
  • [MRG] Fix dissimilarities computations of Deep CAN by @antoinecollas in #274
  • [MRG] Remove redundant centroid computation in spherical k-means by @YanisLalou in #275
  • [MRG] Fix mdd loss by @antoinecollas in #277
  • [MRG] Apply label smoothing to stabilize MDD by @antoinecollas in #279
  • [MRG] do not try to complete when X_source is empty by @antoinecollas in #280
  • [MRG] Add SPA method by @tgnassou in #276
  • [MRG] Add contributor guide by @tgnassou in #282

Full Changelog: https://github.com/scikit-adaptation/skada/compare/0.3.0...0.4.0