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Author:
Lucas Weber
Summary:
Change point / changepoint detection for time series in Python (Singular Spectrum Transformation - SST, IKA-SST, ulSIF, RuLSIF, KLIEP, FLUSS, FLOSS, etc.). Focus on efficient implementation and readable code.
Latest version:
0.2.2
Required dependencies:
fbpca
|
matplotlib
|
numba
|
numpy
|
rocket-fft
|
scipy
|
stumpy
Optional dependencies:
fbpca
|
jupyter
|
mkdocs-material
|
mkdocstrings
|
numba
|
numpy
|
pytest
|
rocket-fft
|
scipy
|
seaborn
|
stumpy
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7-day smoothing