2.5.2

Fix unit tests and update PyPI publishing policy

2.5.1

Small updates and fixes

2.5.0

What's Changed

• Bump actions/checkout from 3 to 4 by @dependabot in #80
• Bump scikit-learn from 1.1.3 to 1.5.2 by @dependabot in #85
• Bump actions/setup-python from 4 to 5 by @dependabot in #86
• Merge dev into feature branch due to many dev changes. by @jernsting in #90
• Feature/score train by @jernsting in #83
• Revert "Feature/score train" by @jernsting in #91
• Feature/score train v2 by @jernsting in #95
• Develop by @jernsting in #96
• Add CPM feature selection as model wrapper by @NilsWinter in #75
• Develop by @jernsting in #89

New Contributors

• @dependabot made their first contribution in #80

Full Changelog: 2.4.0...2.5.0

PHOTONAI v2.4.0

What's Changed

• Fixed issue with photon registry when multiple registry objects are i… by @jernsting in #48
• Fix/save optimum pipe by @jernsting in #51
• Added multiprocessing switch for parallel computing by @jernsting in #53
• Changed versioning to pbr, resolved circular input errors, moved base… by @jernsting in #52
• Create dependabot.yml by @jernsting in #54
• Feature/new imports by @jernsting in #55
• minor features added by @RLeenings in #56
• debug imbalanced data transform unit test by @RLeenings in #57
• Debug/debug imbalanced test by @RLeenings in #58
• Added monthly matrix testing technique by @jernsting in #60
• Revert "Develop" due to squashing. by @jernsting in #62
• Develop by @jernsting in #63
• Added switch to create json output by @jernsting in #65
• Fix/permutation importances by @julblanke in #67
• add functionality to compare model and permutation feature importances by @RLeenings in #72
• Feature/model zoo by @RLeenings in #73
• Develop by @RLeenings in #74

Full Changelog: 2.3.0...2.4.0

PHOTONAI v2.3.0

Documentation: https://wwu-mmll.github.io/photonai/

What's Changed

• Develop by @RLeenings in #50

Full Changelog: 2.2.1...2.3.0

PHOTONAI v2.2.1

Documentation: https://wwu-mmll.github.io/photonai/

Changelog:

• Removed Keras requirement
• Fixed Random Search Optimizer
• Minor bugfixes

PHOTONAI v2.2.0

Documentation: https://wwu-mmll.github.io/photonai/

Changelog
tba

PHOTONAI v2.1.0

Documentation: https://wwu-mmll.github.io/photonai/

Changelog
Features:

• enable integration of custom metrics
• integrate automatic generation of learning curves
• integrate nevergrad hyperparameter optimization strategy
• add new hyperparameter optimizer designed to compare different (learning) algorithms in a Switch (OR-element)
• add functionality to automatically find, analyze and compare the best config for each estimator (Switch) per outer fold
• added scorer method to hyperpipe that scores with best_config_metric, therefore the Hyperpipe object can be used with scikit-learn functions.
• integrated sklearn permutation feature importances into the workflow
• disable usage of test samples with the parameter use_test_set in hyperpipe
• removed the need to import Output Settings class to declare the project_folder -> moved to Hyperpipe constructor
• added inverse_transform methods to several PHOTONAI algorithm implementations

Development:

• integrate documentation into github repo based on mkdocs and material theme: https://wwu-mmll.github.io/photonai/
• switch continuos integration protocol to github actions: https://github.com/wwu-mmll/photonai/actions
• code clean ups

PHOTONAI v2.0.0

• removed investigator, instead we offer the Explorer, a Javascript web application to visualize and analyze the results
• moved photon.neuro module to an own package called photonai_neuro
• updated repository structure, moved tests and examples to root directory
• consistently named the repository photonai everywhere
• included continuous integration pipeline with travis-ci

1.1.0

Update version to 1.1.0