Package: Metrics 0.1.4
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.
Authors:
Metrics_0.1.4.tar.gz
Metrics_0.1.4.zip(r-4.7)Metrics_0.1.4.zip(r-4.6)Metrics_0.1.4.zip(r-4.5)
Metrics_0.1.4.tgz(r-4.6-any)Metrics_0.1.4.tgz(r-4.5-any)
Metrics_0.1.4.tar.gz(r-4.7-any)Metrics_0.1.4.tar.gz(r-4.6-any)
Metrics_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Metrics/json (API)
| # Install 'Metrics' in R: |
| install.packages('Metrics', repos = c('https://mfrasco.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mfrasco/metrics/issues
Last updated from:ca12765d3e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 101 | ||
| source / vignettes | OK | 158 | ||
| linux-release-x86_64 | OK | 101 | ||
| macos-release-arm64 | OK | 136 | ||
| macos-oldrel-arm64 | OK | 164 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 57 | ||
| windows-oldrel | OK | 57 | ||
| wasm-release | OK | 98 |
Exports:accuracyaeapeapkaucbiasceexplained_variationf1fbeta_scorelllogLossmaemapemapkmasemdaeMeanQuadraticWeightedKappamsemslepercent_biasprecisionraerecallrmsermslerrserseScoreQuadraticWeightedKappaseslesmapesse
Dependencies:
