Stable version 1.7

• Type hints
• New methods
• Performance improvements

Stable version 1.6

• Several improvements and bugfixes;
• Performance optimization on fuzzyfication process using indexes;
• New multivariate and nonstationary methods;
• Hyperparameter optimization;
• Distributed methods for scalability;
• FTS with Fuzzy Cognitve Maps.

Stable version 1.4

pkg1.4

Updating the package for new stable version 1.4

Documentation for Sphinx

Several improvements and bugfixes, and the 1st Sphinx generated documentation.

Export for Zenodo DOI generation (ref. pkg1.2.3)

• 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

Export for Zenobo

Export for DOI generation at Zenobo tool