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.
Version: | 0.3-3 |
Depends: | R (≥ 4.3) |
Imports: | grDevices, lattice, Rcpp |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, reticulate, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2025-03-18 |
Author: | Serkan Korkmaz |
Maintainer: | Serkan Korkmaz <serkor1 at duck.com> |
BugReports: | https://github.com/serkor1/SLmetrics/issues |
License: | GPL (≥ 3) |
URL: | https://serkor1.github.io/SLmetrics/, https://github.com/serkor1/SLmetrics |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | SLmetrics results |
Reference manual: | SLmetrics.pdf |
Vignettes: |
vignette_ROC-PRC (source, R code) Classification Metrics (source, R code) Regression Metrics (source, R code) |
Package source: | SLmetrics_0.3-3.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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