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Ordinal Data are those where a natural order exist between the labels. Theclassification and pre-processing of this type of data is attracting more andmore interest in the area of machine learning, due to its presence in manycommon problems. Traditionally, ordinal classification problems have beenapproached as nominal problems. However, that implies not taking into accounttheir natural order constraints. In this paper, an innovative R package namedocapis (Ordinal Classification and Preprocessing In Scala) is introduced.Implemented mainly in Scala and available through Github, this library includesfour learners and two pre-processing algorithms for ordinal and monotonic data.Main features of the package and examples of installation and use are explainedthroughout this manuscript.

OCAPIS: R package for Ordinal Classification And Preprocessing In Scala