OCAPIS: R package for Ordinal Classification and Preprocessing in Scala

被引：0
作者：
M. Cristina Heredia-Gómez
Salvador García
Pedro Antonio Gutiérrez
Francisco Herrera
机构：
[1] University of Granada,DaSCI Andalusian Institute of Data Science and Computational Intelligence
[2] University of Córdoba,Department of Computer Science and Numerical Analysis
来源：
Progress in Artificial Intelligence | 2019年 / 8卷
关键词：
Ordinal classification; Ordinal regression; Data preprocessing; Machine learning; R; Scala;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Ordinal data are those where a natural order exists between the labels. The classification and preprocessing of this type of data is attracting more and more interest in the area of machine learning, due to its presence in many common problems. Traditionally, ordinal classification problems have been approached as nominal problems. However, that implies not taking into account their natural order constraints. In this paper, an innovative R package named ocapis (Ordinal Classification and Preprocessing in Scala) is introduced. Implemented mainly in Scala and available through Github, this library includes four learners and two preprocessing algorithms for ordinal and monotonic data. Main features of the package and examples of installation and use are explained throughout this manuscript.
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页码：287 / 292
页数：5
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