using rulsif for abrupt-change detection
[1] Liu S , Yamada M , Collier N , et al. Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation[J]. 2012.
[2] Kawahara Y , Sugiyama M . Sequential change‐point detection based on direct density‐ratio estimation[M]. John Wiley & Sons, Inc. 2012.
[3] Kawahara Y , Yairi T , Machida K . Change-Point Detection in Time-Series Data Based on Subspace Identification[C]// Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on. IEEE, 2007.
python=3.6
python apply_main.py