Downloads provided by UsageCountsPYFTS/pyFTS: Stable version 1.7
Petrônio Cândido de Lima e Silva; Carlos Alberto Severiano Júnior; Marcos Antônio Alves; Rodrigo César Pedrosa Silva; Gustavo Linhares Vieira; Patrícia de Oliveira e Lucas; Hossein Javedani Sadaei; +1 Authors
Petrônio Cândido de Lima e Silva; Carlos Alberto Severiano Júnior; Marcos Antônio Alves; Rodrigo César Pedrosa Silva; Gustavo Linhares Vieira; Patrícia de Oliveira e Lucas; Hossein Javedani Sadaei; Frederico Gadelha Guimarães;
PYFTS/pyFTS: Stable version 1.7
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
- Type hints - New methods - Performance improvements - Bugfixes
10.21528/CBIC2017-54, multivariate time series, big data, fuzzy systems, 10.1109/SSCI.2016.7850010, 10.5281/zenodo.3374641, 10.1007/978-3-030-19223-5_4, forecasting, data science, time series, 10.1109/FUZZ-IEEE.2017.8015732, 10.1109/TFUZZ.2019.2922152, https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-157.pdf
10.21528/CBIC2017-54, multivariate time series, big data, fuzzy systems, 10.1109/SSCI.2016.7850010, 10.5281/zenodo.3374641, 10.1007/978-3-030-19223-5_4, forecasting, data science, time series, 10.1109/FUZZ-IEEE.2017.8015732, 10.1109/TFUZZ.2019.2922152, https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-157.pdf
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% views 220 downloads 10 - 220views10downloads
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts 10
Top 10%
Top 10%
Top 10%
220
10