v0.3.3

1. Import AAE.
2. Show the 6-axis signals in realtime on GUI.
3. Update GUI.

This is the demo version.

v0.3.1

1. Create KNN, SVM models.

v0.3

1. LGBM model created.
2. Add 3 scenarios such as one-to-one, rest-to-one, all-to-one.
3. Add feature selection param.
4. Briefly EDA result screenshot info.
5. Create FFT and DTW engineering features.

As the best result, all plays can be reached F-measure >= 0.7 as weighted evaluation.

v0.2

1. The training multi error is less or equal to 0.15 in self-test as Doraemon.
2. Refactored as module-based coding style.

v0.1

1. Create a feasible model to predict other performance with the same song.
2. Input important information of all raw tables to become useful.
3. Refactor scripts into entire library.