Photonai

Latest version: v2.5.0

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2.5.0

What's Changed
* Bump actions/checkout from 3 to 4 by dependabot in https://github.com/wwu-mmll/photonai/pull/80
* Bump scikit-learn from 1.1.3 to 1.5.2 by dependabot in https://github.com/wwu-mmll/photonai/pull/85
* Bump actions/setup-python from 4 to 5 by dependabot in https://github.com/wwu-mmll/photonai/pull/86
* Merge dev into feature branch due to many dev changes. by jernsting in https://github.com/wwu-mmll/photonai/pull/90
* Feature/score train by jernsting in https://github.com/wwu-mmll/photonai/pull/83
* Revert "Feature/score train" by jernsting in https://github.com/wwu-mmll/photonai/pull/91
* Feature/score train v2 by jernsting in https://github.com/wwu-mmll/photonai/pull/95
* Develop by jernsting in https://github.com/wwu-mmll/photonai/pull/96
* Add CPM feature selection as model wrapper by NilsWinter in https://github.com/wwu-mmll/photonai/pull/75
* Develop by jernsting in https://github.com/wwu-mmll/photonai/pull/89

New Contributors
* dependabot made their first contribution in https://github.com/wwu-mmll/photonai/pull/80

**Full Changelog**: https://github.com/wwu-mmll/photonai/compare/2.4.0...2.5.0

2.4.0

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


**Full Changelog**: https://github.com/wwu-mmll/photonai/compare/2.3.0...2.4.0

2.3.0

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

What's Changed
* Develop by RLeenings in https://github.com/wwu-mmll/photonai/pull/50


**Full Changelog**: https://github.com/wwu-mmll/photonai/compare/2.2.1...2.3.0

2.2.1

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

Changelog:
- Removed Keras requirement
- Fixed Random Search Optimizer
- Minor bugfixes

2.2.0

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

**Changelog**
tba

2.1.0

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

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