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@petroniocandido petroniocandido released this 09 Mar 16:30
· 399 commits to master since this release
  • Complete refactoring for PEP 8 and PEP257 compliance
  • pyPI compliance and support pip
  • Seasonal, Multivariate, Nonstationary and Ensemble FTS models, partitioners and fuzzy sets.
  • Unification of .forecast*() methods under .predict() method
  • Generalization of .train() methods under .fit() method
  • Support for distributed fit and forecast using dispy tool
  • Improvements on IFTS, PWFTS and HOFTS methods.
  • Better suport for probabilistic forecasting
  • Jupyter notebooks with usage examples
  • Sample datasets (Enrollments, AirPassengers, Sunspots, TAIEX, S&P 500, NASDAQ, SONDA, INMET, BEST)
  • Tested with Python 3.6