A collection of evaluation metrics, including loss, score and utility functions, that measure regression, classification and ranking performance.
Version: | 1.1.1 |
Depends: | R (≥ 2.10) |
Imports: | stats, utils, ROCR |
Suggests: | e1071 |
Published: | 2016-05-13 |
Author: | Yachen Yan [aut, cre] |
Maintainer: | Yachen Yan <yanyachen21 at gmail.com> |
BugReports: | http://github.com/yanyachen/MLmetrics/issues |
License: | GPL-2 |
URL: | http://github.com/yanyachen/MLmetrics |
NeedsCompilation: | no |
CRAN checks: | MLmetrics results |
Reference manual: | MLmetrics.pdf |
Package source: | MLmetrics_1.1.1.tar.gz |
Windows binaries: | r-devel: MLmetrics_1.1.1.zip, r-release: MLmetrics_1.1.1.zip, r-oldrel: MLmetrics_1.1.1.zip |
macOS binaries: | r-release (arm64): MLmetrics_1.1.1.tgz, r-oldrel (arm64): MLmetrics_1.1.1.tgz, r-release (x86_64): MLmetrics_1.1.1.tgz, r-oldrel (x86_64): MLmetrics_1.1.1.tgz |
Old sources: | MLmetrics archive |
Reverse imports: | alookr, dendroTools, GroupBN, healthcareai, lilikoi, mikropml, StarBioTrek, yager |
Reverse suggests: | caret, etree, isotree |
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