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PHOTONAI v2.1.0
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@ksarink ksarink released this 05 Mar 12:29
2.1.0
bc337ac
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Learn about vigilant mode.

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:

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