A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Features

  • The equivalent of R's auto.arima functionality
  • A collection of statistical tests of stationarity and seasonality
  • Time series utilities, such as differencing and inverse differencing
  • Numerous endogenous and exogenous transformers and featurizers, including Box-Cox and Fourier transformations
  • Seasonal time series decompositions
  • A rich collection of built-in time series datasets for prototyping and examples
  • Scikit-learn-esque pipelines to consolidate your estimators and promote productionization

Project Samples

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Categories

Machine Learning

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-16