Package: neighbr 1.0.3
Dmitriy Bolotov
neighbr: Classification, Regression, Clustering with K Nearest Neighbors
Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.
Authors:
neighbr_1.0.3.tar.gz
neighbr_1.0.3.zip(r-4.7)neighbr_1.0.3.zip(r-4.6)neighbr_1.0.3.zip(r-4.5)
neighbr_1.0.3.tgz(r-4.6-any)neighbr_1.0.3.tgz(r-4.5-any)
neighbr_1.0.3.tar.gz(r-4.7-any)neighbr_1.0.3.tar.gz(r-4.6-any)
neighbr_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
neighbr/json (API)
NEWS
| # Install 'neighbr' in R: |
| install.packages('neighbr', repos = c('https://dbolotov.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:406b60153b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 119 | ||
| source / vignettes | OK | 137 | ||
| linux-release-x86_64 | OK | 92 | ||
| macos-release-arm64 | OK | 189 | ||
| macos-oldrel-arm64 | OK | 208 | ||
| windows-devel | OK | 100 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 94 |
Exports:distanceknnsimilarity
Dependencies:
