-
Notifications
You must be signed in to change notification settings - Fork 53
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Showing
1 changed file
with
115 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,115 @@ | ||
{ | ||
"license": "other-open", | ||
"contributors": [ | ||
{ | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"type": "Researcher", | ||
"name": "Marco Ant\u00f4nio Alves" | ||
}, | ||
{ | ||
"affiliation": "Federal Institute of Minas Gerais (IFMG), Brazil", | ||
"type": "Researcher", | ||
"name": "Carlos Alberto Severiano Junior" | ||
}, | ||
{ | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"type": "Researcher", | ||
"name": "Gustavo Linhares Vieira" | ||
}, | ||
{ | ||
"orcid": "0000-0001-9238-8839", | ||
"affiliation": "Electrical Engineering Dept, Federal University of Minas Gerais (UFMG), Brazil", | ||
"type": "Researcher", | ||
"name": "Frederico Gadelha Guimar\u00e3es" | ||
}, | ||
{ | ||
"orcid": "0000-0003-2547-3835", | ||
"affiliation": "Federal University of Ouro Preto (UFOP), Brazil", | ||
"type": "Researcher", | ||
"name": "Rodrigo C\u00e9sar Pedrosa Silva" | ||
}, | ||
{ | ||
"orcid": "0000-0002-0848-9280", | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"type": "Researcher", | ||
"name": "Hossein Javedani Sadaei" | ||
} | ||
], | ||
"language": "eng", | ||
"title": "PYFTS/pyFTS: Stable version 1.6", | ||
"related_identifiers": [ | ||
{ | ||
"scheme": "url", | ||
"identifier": "https://github.com/PYFTS/pyFTS/tree/pkg1.6", | ||
"relation": "isSupplementTo" | ||
}, | ||
{ | ||
"scheme": "doi", | ||
"identifier": "10.5281/zenodo.597359", | ||
"relation": "isVersionOf" | ||
} | ||
], | ||
"thesis_university": "Federal University of Minas Gerais (UFMG), Brazil", | ||
"thesis_supervisors": [ | ||
{ | ||
"orcid": "0000-0001-9238-8839", | ||
"affiliation": "Electrical Engineering Dept, Federal University of Minas Gerais (UFMG), Brazil", | ||
"name": "Frederico Gadelha Guimar\u00e3es" | ||
}, | ||
{ | ||
"orcid": "0000-0002-0848-9280", | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"name": "Hossein Javedani Sadaei" | ||
} | ||
], | ||
"version": "pkg1.6", | ||
"upload_type": "software", | ||
"keywords": [ | ||
"data science", | ||
"time series", | ||
"forecasting", | ||
"fuzzy systems" | ||
], | ||
"publication_date": "2019-05-06", | ||
"creators": [ | ||
{ | ||
"orcid": "0000-0002-1202-2552", | ||
"affiliation": "IFNMG - Instituto Federal do Norte de Minas Gerais", | ||
"name": "Petr\u00f4nio C\u00e2ndido de Lima e Silva" | ||
}, | ||
{ | ||
"orcid": "0000-0002-9100-9013", | ||
"affiliation": "IFMG - Instituto Federal de Minas Gerais", | ||
"name": "Carlos Alberto Severiano J\u00fanior" | ||
}, | ||
{ | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"name": "Marcos Ant\u00f4nio Alves" | ||
}, | ||
{ | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"name": "Gustavo Linhares Vieira" | ||
}, | ||
{ | ||
"orcid": "0000-0003-2547-3835", | ||
"affiliation": "UFOP - Universidade Federal de Ouro Preto", | ||
"name": "Rodrigo C\u00e9sar Pedrosa Silva" | ||
}, | ||
{ | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"name": "Patr\u00edcia Oliveira e Lucas" | ||
}, | ||
{ | ||
"orcid": "0000-0002-0848-9280", | ||
"affiliation": "MINDS - Machine Learning and Data Science", | ||
"name": "Hossein Javedani Sadaei" | ||
}, | ||
{ | ||
"orcid": "0000-0001-9238-8839", | ||
"affiliation": "UFMG - Universidade Federal de Minas Gerais", | ||
"name": "Frederico Gadelha Guimar\u00e3es" | ||
} | ||
], | ||
"access_right": "open", | ||
"description": "<p><em><strong>A open source library for Fuzzy Time Series in Python</strong></em>.</p>\n\n<p>For more information:</p>\n\n<ul>\n\t<li>Official site and documentation:<a href=\"https://pyfts.github.io/pyFTS/\"> https://pyfts.github.io/pyFTS/</a></li>\n\t<li>Code repository and issue tracking: <a href=\"https://github.com/PYFTS/pyFTS\">https://github.com/PYFTS/pyFTS</a></li>\n\t<li>A short tutorial on Fuzzy Time Series:\n\t<ul>\n\t\t<li><a href=\"https://towardsdatascience.com/a-short-tutorial-on-fuzzy-time-series-dcc6d4eb1b15\">Part I</a>: Introduction to the Fuzzy Logic, Fuzzy Time Series and the pyFTS library</li>\n\t\t<li><a href=\"https://towardsdatascience.com/a-short-tutorial-on-fuzzy-time-series-part-ii-with-an-case-study-on-solar-energy-bda362ecca6d\">Part II</a>: High order, weighted and multivariate methods and an case study of solar energy forecasting.</li>\n\t\t<li><a href=\"https://towardsdatascience.com/a-short-tutorial-on-fuzzy-time-series-part-iii-69445dff83fb\">Part III</a>: Interval and probabilistic forecasting, non-stationary time series, concept drifts and time variant models.</li>\n\t</ul>\n\t</li>\n\t<li>More example codes: <a href=\"https://github.com/PYFTS/notebooks\">https://github.com/PYFTS/notebooks</a></li>\n</ul>" | ||
} |