mlquantify: Algorithms for Class Distribution Estimation

Quantification is a prominent machine learning task that has received an increasing amount of attention in the last years. The objective is to predict the class distribution of a data sample. This package is a collection of machine learning algorithms for class distribution estimation. This package include algorithms from different paradigms of quantification. These methods are described in the paper: A. Maletzke, W. Hassan, D. dos Reis, and G. Batista. The importance of the test set size in quantification assessment. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI20, pages 2640–2646, 2020. <doi:10.24963/ijcai.2020/366>.

Getting started

Package details

AuthorAndre Maletzke [aut, cre], Everton Cherman [ctb], Denis dos Reis [ctb], Gustavo Batista [ths]
MaintainerAndre Maletzke <andregustavom@gmail.com>
LicenseGPL (>= 2.0)
Version0.2.0
URL https://github.com/andregustavom/mlquantify
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mlquantify")

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mlquantify documentation built on Jan. 20, 2022, 5:07 p.m.