serkor1. To fix this you can add URL: https://fastverse.r-universe.dev/SLmetrics to the package DESCRIPTION file. See also theR-universe documentation.Package: SLmetrics 0.3-4


Serkan Korkmaz
SLmetrics: Machine Learning Performance Evaluation on Steroids
Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.
Authors:
SLmetrics_0.3-4.tar.gz
SLmetrics_0.3-4.zip(r-4.7-x86_64)SLmetrics_0.3-4.zip(r-4.7-arm64)SLmetrics_0.3-4.zip(r-4.6-x86_64)SLmetrics_0.3-4.zip(r-4.6-arm64)SLmetrics_0.3-4.zip(r-4.5-x86_64)
SLmetrics_0.3-4.tgz(r-4.6-x86_64)SLmetrics_0.3-4.tgz(r-4.6-arm64)SLmetrics_0.3-4.tgz(r-4.5-x86_64)SLmetrics_0.3-4.tgz(r-4.5-arm64)
SLmetrics_0.3-4.tar.gz(r-4.7-arm64)SLmetrics_0.3-4.tar.gz(r-4.7-x86_64)SLmetrics_0.3-4.tar.gz(r-4.6-arm64)SLmetrics_0.3-4.tar.gz(r-4.6-x86_64)
SLmetrics_0.3-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SLmetrics/json (API)
| # Install 'SLmetrics' in R: |
| install.packages('SLmetrics', repos = c('https://fastverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/serkor1/slmetrics/issues
- banknote - Banknote authentication dataset
- obesity - Obesity levels dataset
- wine.quality - Wine quality dataset
armadilloarmadillo-libraryartificial-intelligencecppdata-analysisdata-scienceeigen3machine-learningperformance-metricsrcpprcpparmadillorcppeigenstatisticssupervised-learningopenblascppopenmp
Last updated from:f15c4b758a. Checks:10 OK, 5 WARNING. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 329 | ||
| linux-devel-x86_64 | OK | 415 | ||
| source / vignettes | OK | 705 | ||
| linux-release-arm64 | OK | 330 | ||
| linux-release-x86_64 | OK | 336 | ||
| macos-release-arm64 | OK | 288 | ||
| macos-release-x86_64 | OK | 509 | ||
| macos-oldrel-arm64 | OK | 260 | ||
| macos-oldrel-x86_64 | OK | 839 | ||
| windows-devel-arm64 | WARNING | 575 | ||
| windows-devel-x86_64 | WARNING | 486 | ||
| windows-release-arm64 | WARNING | 596 | ||
| windows-release-x86_64 | WARNING | 717 | ||
| windows-oldrel-x86_64 | WARNING | 614 | ||
| wasm-release | OK | 326 |
Exports:accuracyauc.pr.curveauc.roc.curveauc.xybaccuracybrier.scorecccckappacmatrixcross.entropycsideviance.gammadeviance.poissondeviance.tweediedorfalloutfbetafdrferfmifprgmsehamminglosshuberlossjaccardloglossmaapemaemapemccmpemsenlrnpvopenmp.offopenmp.onopenmp.threadsphipinballplrppvpr.curveprecisionpreorderpresortraerecallrelative.entropyrmsermsleroc.curverrmserrsersqselectivitysensitivityshannon.entropysmapespecificitytnrtprtscoreweighted.accuracyweighted.auc.pr.curveweighted.auc.roc.curveweighted.baccuracyweighted.brier.scoreweighted.cccweighted.ckappaweighted.cmatrixweighted.csiweighted.deviance.gammaweighted.deviance.poissonweighted.deviance.tweedieweighted.dorweighted.falloutweighted.fbetaweighted.fdrweighted.ferweighted.fmiweighted.fprweighted.gmseweighted.hamminglossweighted.huberlossweighted.jaccardweighted.loglossweighted.maapeweighted.maeweighted.mapeweighted.mccweighted.mpeweighted.mseweighted.nlrweighted.npvweighted.phiweighted.pinballweighted.plrweighted.ppvweighted.pr.curveweighted.precisionweighted.raeweighted.recallweighted.rmseweighted.rmsleweighted.roc.curveweighted.rrmseweighted.rrseweighted.rsqweighted.selectivityweighted.sensitivityweighted.smapeweighted.specificityweighted.tnrweighted.tprweighted.tscoreweighted.zeroonelosszerooneloss
Dependencies:latticeRcppRcppArmadillo
Last update: 2025-06-07
Started: 2025-03-13
Last update: 2025-06-07
Started: 2025-03-13