mlquantify
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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CRAN Check Status
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (2 non-OK)
dependencies in R code
Namespaces in Imports field not imported from: ‘caret’ ‘randomForest’ All declared Imports should be used.
dependencies in R code
Namespaces in Imports field not imported from: ‘caret’ ‘randomForest’ All declared Imports should be used.
Check History
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
dependencies in R code
Namespaces in Imports field not imported from: ‘caret’ ‘randomForest’ All declared Imports should be used.
dependencies in R code
Namespaces in Imports field not imported from: ‘caret’ ‘randomForest’ All declared Imports should be used.