ORCA: A Matlab/Octave Toolbox for Ordinal Regression
Ordinal regression, also named ordinal classification, studies classification problems where there exist a natural order between class labels. This structured order of the labels is crucial in all steps of the learning process in order to take full advantage of the data. ORCA (Ordinal Regression and...
Main Authors: | , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MICROTOME PUBL
2019
|
Subjects: | |
Online Access: | https://discovery.ucl.ac.uk/id/eprint/10084760/1/18-349.pdf https://discovery.ucl.ac.uk/id/eprint/10084760/ |
id |
ftucl:oai:eprints.ucl.ac.uk.OAI2:10084760 |
---|---|
record_format |
openpolar |
spelling |
ftucl:oai:eprints.ucl.ac.uk.OAI2:10084760 2023-12-24T10:23:59+01:00 ORCA: A Matlab/Octave Toolbox for Ordinal Regression Sánchez-Monedero, J Gutiérrez, PA Perez-Ortiz, M 2019 text https://discovery.ucl.ac.uk/id/eprint/10084760/1/18-349.pdf https://discovery.ucl.ac.uk/id/eprint/10084760/ eng eng MICROTOME PUBL https://discovery.ucl.ac.uk/id/eprint/10084760/1/18-349.pdf https://discovery.ucl.ac.uk/id/eprint/10084760/ open Journal of Machine Learning Research , 20 , Article 125. (2019) Ordinal regression ordinal classification Matlab Octave threshold models Article 2019 ftucl 2023-11-27T13:07:28Z Ordinal regression, also named ordinal classification, studies classification problems where there exist a natural order between class labels. This structured order of the labels is crucial in all steps of the learning process in order to take full advantage of the data. ORCA (Ordinal Regression and Classification Algorithms) is a Matlab/Octave framework that implements and integrates different ordinal classification algorithms and specifically designed performance metrics. The framework simplifies the task of experimental comparison to a great extent, allowing the user to: (i) describe experiments by simple configuration files; (ii) automatically run different data partitions; (iii) parallelize the executions; (iv) generate a variety of performance reports and (v) include new algorithms by using its intuitive interface. Source code, binaries, documentation, descriptions and links to data sets and tutorials (including examples of educational purpose) are available at https://github.com/ayrna/orca. Article in Journal/Newspaper Orca University College London: UCL Discovery |
institution |
Open Polar |
collection |
University College London: UCL Discovery |
op_collection_id |
ftucl |
language |
English |
topic |
Ordinal regression ordinal classification Matlab Octave threshold models |
spellingShingle |
Ordinal regression ordinal classification Matlab Octave threshold models Sánchez-Monedero, J Gutiérrez, PA Perez-Ortiz, M ORCA: A Matlab/Octave Toolbox for Ordinal Regression |
topic_facet |
Ordinal regression ordinal classification Matlab Octave threshold models |
description |
Ordinal regression, also named ordinal classification, studies classification problems where there exist a natural order between class labels. This structured order of the labels is crucial in all steps of the learning process in order to take full advantage of the data. ORCA (Ordinal Regression and Classification Algorithms) is a Matlab/Octave framework that implements and integrates different ordinal classification algorithms and specifically designed performance metrics. The framework simplifies the task of experimental comparison to a great extent, allowing the user to: (i) describe experiments by simple configuration files; (ii) automatically run different data partitions; (iii) parallelize the executions; (iv) generate a variety of performance reports and (v) include new algorithms by using its intuitive interface. Source code, binaries, documentation, descriptions and links to data sets and tutorials (including examples of educational purpose) are available at https://github.com/ayrna/orca. |
format |
Article in Journal/Newspaper |
author |
Sánchez-Monedero, J Gutiérrez, PA Perez-Ortiz, M |
author_facet |
Sánchez-Monedero, J Gutiérrez, PA Perez-Ortiz, M |
author_sort |
Sánchez-Monedero, J |
title |
ORCA: A Matlab/Octave Toolbox for Ordinal Regression |
title_short |
ORCA: A Matlab/Octave Toolbox for Ordinal Regression |
title_full |
ORCA: A Matlab/Octave Toolbox for Ordinal Regression |
title_fullStr |
ORCA: A Matlab/Octave Toolbox for Ordinal Regression |
title_full_unstemmed |
ORCA: A Matlab/Octave Toolbox for Ordinal Regression |
title_sort |
orca: a matlab/octave toolbox for ordinal regression |
publisher |
MICROTOME PUBL |
publishDate |
2019 |
url |
https://discovery.ucl.ac.uk/id/eprint/10084760/1/18-349.pdf https://discovery.ucl.ac.uk/id/eprint/10084760/ |
genre |
Orca |
genre_facet |
Orca |
op_source |
Journal of Machine Learning Research , 20 , Article 125. (2019) |
op_relation |
https://discovery.ucl.ac.uk/id/eprint/10084760/1/18-349.pdf https://discovery.ucl.ac.uk/id/eprint/10084760/ |
op_rights |
open |
_version_ |
1786198366019911680 |