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>.