Published May 6, 2019
| Version pkg1.6
Software
Open
PYFTS/pyFTS: Stable version 1.6
Creators
- 1. IFNMG - Instituto Federal do Norte de Minas Gerais
- 2. IFMG - Instituto Federal de Minas Gerais
- 3. MINDS - Machine Learning and Data Science
- 4. UFOP - Universidade Federal de Ouro Preto
- 5. UFMG - Universidade Federal de Minas Gerais
Contributors
Researchers:
Supervisors:
- 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
Description
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
- 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
News from 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.
Files
PYFTS/pyFTS-pkg1.6.zip
Files
(1.7 MB)
| Name | Size | Download all |
|---|---|---|
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md5:c184cf1ab656ed7a9ad1ca6bbffd9909
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Additional details
Subjects
- PWFTS
- 10.1109/TFUZZ.2019.2922152
- EnsembleFTS
- 10.21528/CBIC2017-54
- [I]FTS
- 10.1109/SSCI.2016.7850010
- W[I]FTS
- 10.5281/zenodo.3374641
- HOFTS
- 10.1109/FUZZ-IEEE.2017.8015732
- WHOFTS
- 10.5281/zenodo.3374641
- WMVFTS
- 10.1007/978-3-030-19223-5_4
- MVFTS
- 10.1007/978-3-030-19223-5_4
- DEHO
- 10.5281/zenodo.3374641
- FIG-FTS
- 10.5281/zenodo.3374641
- NSFTS
- https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-157.pdf