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Author:
Andrey Ferubko
Summary:
Generate synthetic time series with a given number of change points (Markov regime switching, Weierstrass–Mandelbrot roughness) with ground-truth labels, saved to CSV, Parquet, HDF5, NetCDF, Trosna and more
Latest version:
0.1.0
Required dependencies:
numpy
Optional dependencies:
h5netcdf
|
h5py
|
openpyxl
|
pandas
|
polars
|
pyarrow
|
pytrosna
|
tsfile
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7-day smoothing