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>.
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