Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/28710
Title: | Fuzzyboxes ML Library - Python |
Contributor(s): | Stover, Joshua (author) |
Publication Date: | 2018 |
Handle Link: | https://hdl.handle.net/1959.11/28710 |
Related Research Outputs: | https://doi.org/10.5281/zenodo.895528 |
Abstract: | | A fuzzyboxes (Cohen, 2016) machine-learning library implemented in the Python language.
Publication Type: | Software |
Fields of Research (FoR) 2008: | 170203 Knowledge Representation and Machine Learning 080309 Software Engineering 070106 Farm Management, Rural Management and Agribusiness |
Fields of Research (FoR) 2020: | 461199 Machine learning not elsewhere classified 461201 Automated software engineering 300208 Farm management, rural management and agribusiness |
Socio-Economic Objective (SEO) 2008: | 960904 Farmland, Arable Cropland and Permanent Cropland Land Management 890201 Application Software Packages (excl. Computer Games) 861401 Agricultural Machinery and Equipment |
Socio-Economic Objective (SEO) 2020: | 180607 Terrestrial erosion 220401 Application software packages 241204 Industrial machinery and equipment |
Technical Software Details: | | Targets Python3 but mostly compatible with Python2. Works on all platforms where Python is available. Primarily uses scikit-learn, fann2, libsvm, numpy, pandas, and matplotlib Python packages.
HERDC Category Description: | G Software |
Publisher/associated links: | http://turing.une.edu.au/~jstover/ |
Appears in Collections: | School of Science and Technology Software
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