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An implementation of evaluation metrics in R that are commonly used in supervised machine learning. It implements metrics for regression, time series, binary classification, classification, and information retrieval problems. It has zero dependencies and a consistent, simple interface for all functions.
| Version: | 0.1.4 |
| Suggests: | testthat |
| Published: | 2018-07-09 |
| DOI: | 10.32614/CRAN.package.Metrics |
| Author: | Ben Hamner [aut, cph], Michael Frasco [aut, cre], Erin LeDell [ctb] |
| Maintainer: | Michael Frasco <mfrasco6 at gmail.com> |
| BugReports: | https://github.com/mfrasco/Metrics/issues |
| License: | BSD_3_clause + file LICENSE |
| URL: | https://github.com/mfrasco/Metrics |
| NeedsCompilation: | no |
| CRAN checks: | Metrics results |
| Reference manual: | Metrics.pdf |
| Package source: | Metrics_0.1.4.tar.gz |
| Windows binaries: | r-devel: Metrics_0.1.4.zip, r-release: Metrics_0.1.4.zip, r-oldrel: Metrics_0.1.4.zip |
| macOS binaries: | r-release (arm64): Metrics_0.1.4.tgz, r-oldrel (arm64): Metrics_0.1.4.tgz, r-release (x86_64): Metrics_0.1.4.tgz, r-oldrel (x86_64): Metrics_0.1.4.tgz |
| Old sources: | Metrics archive |
| Reverse depends: | Greymodels, manymodelr, SAMprior |
| Reverse imports: | ai, ARGOS, audrex, ConsReg, coursekata, dblr, epicasting, gbm.auto, hybridts, ImFoR, iml, immuneSIM, janus, kssa, lilikoi, mlr3shiny, phytoclass, poolHelper, populR, predtoolsTS, previsionio, PUPAK, PUPMSI, PWEV, RSCAT, RSP, scoringutils, sense, sjSDM, superml, UEI, WaveletANN, WaveletETS, WaveletGBM, WaveletKNN |
| Reverse suggests: | cv, luz, s2net, tfdatasets |
Please use the canonical form https://CRAN.R-project.org/package=Metrics to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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