| Name : R-mlquantify
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.13.1
| Date : 2024-07-04 12:06:42
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| Group : Development/Libraries/Other
| Source RPM : R-mlquantify-0.2.0-lp155.13.1.src.rpm
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| Size : 0.17 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Algorithms for Class Distribution Estimation
|
Description :
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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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
