PYFTS/pyFTS: Stable version 1.7

Published May 6, 2019 | Version pkg1.7

Software Open

1. Federal University of Minas Gerais (UFMG)
2. Petronas University of Technology
3. Universiti Tun Hussein Onn Malaysia
4. MINDS - Machine Intelligence and Data Science
5. Electrical Engineering Dept, Federal University of Minas Gerais (UFMG), Brazil
6. MINDS - Machine Learning and Data Science

An open source library for Fuzzy Time Series in Python.

For more information:

Official site and documentation: https://pyfts.github.io/pyFTS/
Code repository and issue tracking: https://github.com/PYFTS/pyFTS
Ph.D. Thesis on Fuzzy Time Series: https://doi.org/10.5281/zenodo.3374641
Survey about Fuzzy Time Series with pyFTS code: https://doi.org/10.21528/lnlm-vol19-no2-art3
A short tutorial on Fuzzy Time Series:
- Part I: Introduction to the Fuzzy Logic, Fuzzy Time Series and the pyFTS library
- Part II: High order, weighted and multivariate methods and an case study of solar energy forecasting.
- Part III: Interval and probabilistic forecasting, non-stationary time series, concept drifts and time variant models.
More example codes: https://github.com/PYFTS/notebooks

Notes

- Type hints - New methods - Performance improvements - Bugfixes

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pyFTS-pkg1.7.zip md5:e176e89091e217734cf9753eb01ac004	2.2 MB	Preview Download