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fable.tbats's Introduction

Hello! Iโ€™m Juraj Szitas, a somewhat mad Econometrician turned Data Scientist. I keep my open source stuff here - in the hopes that someone finds it useful. I work primarily on Time Series and Time Series ensembling.

Check out:

  • soothsayer if you like the fable framework and like the idea of meta learning for time series
  • blaze (WIP) A full fledged time series forecasting and analysis toolkit in modern C++.
    • contains a new (S)ARIMA(X) implementation leveraging SIMD
    • fully capable AR and AutoAR
    • Benchmark methods (Integrated Noise)
    • miscellaneous time series utility functions (seasonality identification, stationarity tests)
  • stack for some general notes on model stacking
  • gpvolatility for an implementation of a funky volatility model
  • treecoding for some interesting Trees and Forests (particularly an implementation of 'Autoencoder by Forest')
  • nlsolver Nonlinear optimizers as header-only, C++17 library.

I am currently building a lot of things in C++, for fun and profit :)

fable.tbats's People

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fable.tbats's Issues

Consider dropping forecast dependency

This will either require copying over all of the code, and iterating from there, or reimplementing from scratch. The latter sounds difficult, but the former might be achievable.

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