A fast implementation of Singular Spectrum Transformation for python.

Features
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fast computation

-   efficient algorithm using lanczos method
-   [Numba](http://numba.pydata.org/)


References
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1.  Tsuyoshi Ide, Koji Tsuda, Change-Point Detection using Krylov
    Subspace Learning, SIAM International Conference on Data Mining,
    pp.515-520, 2007
2.  Tsuyoshi Ide, Speeding up Change-Point Detection using Matrix
    Compression (Japanse), Workshop on Information-Based Induction
    Sciences, 2006
3.  Tsuyoshi Ide, Masashi Sugiyama, Anomaly Detection and Change
    Detection (Japanse), Kodansha, 2015
