OCAPIS: R package for Ordinal Classification And Preprocessing In Scala

TL;DR

OCAPIS is an R package developed in Scala that provides tools for ordinal classification and preprocessing, addressing the limitations of traditional nominal approaches by incorporating natural order constraints.

Contribution

The paper introduces OCAPIS, a novel R package with Scala implementation, offering four learners and two pre-processing algorithms specifically for ordinal and monotonic data.

Findings

Includes four ordinal classification learners

Provides two pre-processing algorithms for ordinal data

Demonstrates package usage with examples

Abstract

Ordinal Data are those where a natural order exist between the labels. The classification and pre-processing 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 pre-processing algorithms for ordinal and monotonic data. Main features of the package and examples of installation and use are explained throughout this manuscript.