🌀 Updates:

• roerich.change_point.SlidingWindows change point detection method is added by @maxslamdunk in #20
• roerich.change_point.ChangePointDetectionClassifier was improved by @hushchyn-mikhail in #17
• roerich.change_point.ChangePointDetectionClassifierCV was improved similarly by @hushchyn-mikhail in #18
• roerich.change_point.ChangePointDetectionRuLSIF was updated by @hushchyn-mikhail in #19
• Fixed a typo in the 'wisdm.py' example by @avnikitin in #21
• OnlineNNClassifier and OnlineNNRuLSIF in the roerich.change_point were refactored and improved by @hushchyn-mikhail in #23

📃 Documentation:

• Usage examples in the documentation were updated by @hushchyn-mikhail in #24

🌀 Updates:

• EnergyDistanceCalculator method is added for change point detection based on energy distance calculation.
• ChangePointDetectionClassifierCV added as a version of ChangePointDetectionClassifier method with K-Fold cross-validation.
• MatrixImportance added to calculate a matrix of importance for each pair of input features in change point detection task.
• Now we use automatic tests for all methods in roerich.
• Methods are divided into different modules for future versions. Compatibility with v0.4.0 is maintained.

📃 Documentation:

• Added descriptions of all new methods in roerich.

🔮 Documentation:

• Added descriptions of all methods for change point detection in roerich
• Descriptions for density ratio estimation methods prepared
• Basic usage examples updated and published
• Several examples on real data demonstrated

🎇 Updates:

• predict_proba_ratio(X) added to density ration estimation methods
• precision_recall_curve function fixed
• display function updated

Changes

• Offline change point detection algorithms were implemented. The algorithms are described in https://doi.org/10.1016/j.jocs.2021.101385.
• Added quality metrics for change point detection results.
• Basic usage example was updated.
• examples/demo.ipynb was updated.
• The library description in README was changed.
• Dependencies were added to setup.py.
• Poetry installation is available.
• Related libraries for change point detection are listed in the README.

Notable Changes:

• removed RuLSIF
• added examples
• OnlineNNClassifier and OnlineNNRuLSIF are in roerich.algorithms now

This is the first release :)