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 |
| 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 |
| OS X binaries: | r-release: Metrics_0.1.4.tgz, r-oldrel: Metrics_0.1.4.tgz |
| Old sources: | Metrics archive |
| Reverse imports: | dblr, iml, manymodelr, MetaIntegrator, predtoolsTS, PUPAIM, RSCAT, specmine, superml |
| Reverse suggests: | featurefinder |
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