evtclass
Extreme Value Theory for Open Set Classification - GPD and GEV Classifiers
v1.0
·
Nov 16, 2018
·
GPL-3
Description
Two classifiers for open set recognition and novelty detection based on extreme value theory. The first classifier is based on the generalized Pareto distribution (GPD) and the second classifier is based on the generalized extreme value (GEV) distribution. For details, see Vignotto, E., & Engelke, S. (2018) <arXiv:1808.09902>.
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| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| 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 |
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CRAN incoming feasibility
Maintainer: ‘Edoardo Vignotto <edoardo.vignotto@unige.ch>’ The Description field contains Vignotto, E., & Engelke, S. (2018) <arXiv:1808.09902>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
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r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Edoardo Vignotto <edoardo.vignotto@unige.ch>’ The Description field contains Vignotto, E., & Engelke, S. (2018) <arXiv:1808.09902>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Edoardo Vignotto <edoardo.vignotto@unige.ch>’ The Description field contains Vignotto, E., & Engelke, S. (2018) <arXiv:1808.09902>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Edoardo Vignotto <edoardo.vignotto@unige.ch>’ The Description field contains Vignotto, E., & Engelke, S. (2018) <arXiv:1808.09902>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
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1.0
Mar 10, 2026