0.4.5

Changes

• Update setup.py @antoinedemathelin (#134)

🐛 Bug Fixes

• fix: new sklearn version compatibility @antoinedemathelin (#121)

0.4.4

Changes

• Update setup.py @antoinedemathelin (#107)

🐛 Bug Fixes

• fix: Fix compatibility issue with latest Tensorflow version @antoinedemathelin (#119)

0.4.3

Changes

• Set tf version below 2.12 and cvxopt below 1.3.0 @antoinedemathelin (#104)
• remove dummy prints @antoinedemathelin (#88)

🚀 Features

• feat: RegularTransfer Gaussian Process @antoinedemathelin (#106)
• feat: Model selection using combination of different Transfer algorithms @atiqm (#105)

🐛 Bug Fixes

• fix: Tensorflow, sklearn updates @antoinedemathelin (#100)

📚 Documentation

• docs: fix typos @antoinedemathelin (#101)
• docs: Fixed some typos @BastienZim (#99)
• docs: Updates doc and test @antoinedemathelin (#85)

0.4.2

Changes

• Add IWC @antoinedemathelin (#82)
• test: Add test ULSIF RULSIF @antoinedemathelin (#81)
• Add placeholders links for missing algorithm in the flowchart @antoinedemathelin (#59)
• Add n_features_in_ to BaseAdapt @antoinedemathelin (#55)

🚀 Features

• feat: ULSIF and RULSIF @AlejandrodelaConcha (#80)
• feat: Add IWN @antoinedemathelin (#79)
• feat: Add LinInt @antoinedemathelin (#78)
• feat: Add PRED @antoinedemathelin (#77)
• feat: Add balanced Weighting @antoinedemathelin (#76)
• feat: Add TCA @antoinedemathelin (#75)
• feat: Update _kliep.py @ymouad (#70)

🐛 Bug Fixes

• fix: Modif KLIEP original @antoinedemathelin (#83)
• fix: Add kernel initializers @antoinedemathelin (#71)
• fix: KLIEP + DANN + RegularTransfer for Tensorflow 2.3.1 @antoinedemathelin (#64)
• fix: Remove test on high dataset @antoinedemathelin (#56)

📚 Documentation

• docs: Add doc ULSIF, RULSIF, IWN, IWC, PRED... @antoinedemathelin (#84)
• docs: Update _kliep.py @ymouad (#73)

0.4.1

Changes

🐛 Bug Fixes

• fix: change prediction in TrAdaBoost @antoinedemathelin (#54)
• fix: modify BaseAdaptDeep because of batch and dataset length issues @antoinedemathelin (#52)

📚 Documentation

• docs: Add examples on real datasets @antoinedemathelin (#51)
• docs: Update examples @antoinedemathelin (#49)

0.4.0

Changes

• change pairwise distance @antoinedemathelin (#38)
• fix ser/strut options and parameters @atiqm (#39)
• Create .gitattributes @antoinedemathelin (#37)

🚀 Features

• feat: Add TransferForestClassifier @atiqm (#35)
• feat: first commit ser strut @atiqm (#25)
• feat: Add methods CCSA+LDM+fMMD+NNW+SA+FineTuning @antoinedemathelin (#26)

🐛 Bug Fixes

• fix: Update transfer tree + Fix clone for parameter based methods @antoinedemathelin (#31)

📚 Documentation

• docs: Add TrAdaBoost experiments @antoinedemathelin (#45)
• docs: correct typos @antoinedemathelin (#42)
• docs: fix typos kmm @antoinedemathelin (#43)
• docs: add python 39 @antoinedemathelin (#36)
• docs: Add flowchart @antoinedemathelin (#29)
• docs: remove new tf methods from doc @antoinedemathelin (#28)
• docs: Update docs for SA+LDM+fMMD+FineTuning+... @antoinedemathelin (#27)
• docs: Update _kliep.py @ymouad (#24)

0.3.1

Changes

🐛 Bug Fixes

• fix: Remove tests from package @antoinedemathelin (#20)

0.3.0

Changes

• test: Add test WANN @antoinedemathelin (#16)

🚀 Features

• feat: Override predict of network to gain speed @antoinedemathelin (#17)
• feat: Add WANN @antoinedemathelin (#15)
• feat: Add CDAN @antoinedemathelin (#14)

🐛 Bug Fixes

• fix: Fix bugs Deep methods @antoinedemathelin (#19)

🧰 Maintenance

• refactor: Refactoring Adapt @antoinedemathelin (#18)

0.2.9

Changes

• test: Fix bug with TransformedTargetRegressor @antoinedemathelin (#8)

🚀 Features

• feat: Add WDGRL method @antoinedemathelin (#12)

🐛 Bug Fixes

• fix: coral, kliep, GradientHandler @antoinedemathelin (#9)

📚 Documentation

• docs: Fix references links in MCD and MDD @antoinedemathelin (#13)
• docs: Fix navigation bar @antoinedemathelin (#11)

0.2.8

Changes

🧰 Maintenance

• ci: Update publish-doc-to-remote.yml @antoinedemathelin (#7)