Metrics

Evaluation Metrics for Machine Learning

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.

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Description file content

Package
Metrics
Version
0.1.3
Title
Evaluation Metrics for Machine Learning
Description
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.
Maintainer
Michael Frasco
Suggests
testthat
URL
BugReports
https://github.com/mfrasco/Metrics/issues
License
BSD_3_clause + file LICENSE
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2017-11-03 07:01:17 UTC; mfrasco
Author
Ben Hamner [aut, cph], Michael Frasco [aut, cre], Erin LeDell [ctb]
Repository
CRAN
Date/Publication
2017-11-03 08:12:38

install.packages('Metrics')

0.1.3

a month ago

https://github.com/mfrasco/Metrics

Michael Frasco

BSD_3_clause + file LICENSE

Suggests

testthat

Discussions