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A collection of evaluation metrics, including loss, score and utility functions, that measure regression, classification and ranking performance.
| Version: | 1.1.3 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, utils, ROCR |
| Suggests: | e1071 |
| Published: | 2024-04-13 |
| Author: | Yachen Yan [aut, cre] |
| Maintainer: | Yachen Yan <yanyachen21 at gmail.com> |
| BugReports: | https://github.com/yanyachen/MLmetrics/issues |
| License: | GPL-2 |
| URL: | https://github.com/yanyachen/MLmetrics |
| NeedsCompilation: | no |
| CRAN checks: | MLmetrics results |
| Reference manual: | MLmetrics.pdf |
| Package source: | MLmetrics_1.1.3.tar.gz |
| Windows binaries: | r-devel: MLmetrics_1.1.3.zip, r-release: MLmetrics_1.1.3.zip, r-oldrel: MLmetrics_1.1.3.zip |
| macOS binaries: | r-release (arm64): MLmetrics_1.1.3.tgz, r-oldrel (arm64): MLmetrics_1.1.3.tgz, r-release (x86_64): MLmetrics_1.1.3.tgz, r-oldrel (x86_64): MLmetrics_1.1.3.tgz |
| Old sources: | MLmetrics archive |
| Reverse imports: | alookr, boostingDEA, daltoolbox, dendroTools, evinf, GroupBN, gspcr, ImNN, InterNL, less, lilikoi, mikropml, pheble, yager |
| Reverse suggests: | caret, etree, isotree |
| Reverse enhances: | cornet |
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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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