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noisemodel

Noise Models for Classification Datasets

Implementation of models for the controlled introduction of errors in classification datasets. This package contains the noise models described in Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels, attributes and both simultaneously.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling linux/jammy R-4.5 noisemodel_1.0.2.tar.gz 738.2 KiB
1.0.2 rolling linux/noble R-4.5 noisemodel_1.0.2.tar.gz 738.1 KiB
1.0.2 rolling source/ R- noisemodel_1.0.2.tar.gz 116.9 KiB
1.0.2 latest linux/jammy R-4.5 noisemodel_1.0.2.tar.gz 738.2 KiB
1.0.2 latest linux/noble R-4.5 noisemodel_1.0.2.tar.gz 738.1 KiB
1.0.2 latest source/ R- noisemodel_1.0.2.tar.gz 116.9 KiB
1.0.2 2026-04-26 source/ R- noisemodel_1.0.2.tar.gz 116.9 KiB
1.0.2 2026-04-23 source/ R- noisemodel_1.0.2.tar.gz 116.9 KiB
1.0.2 2026-04-09 windows/windows R-4.5 noisemodel_1.0.2.zip 744.4 KiB
1.0.2 2025-04-20 source/ R- noisemodel_1.0.2.tar.gz 116.9 KiB

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