Package: RECA 1.7.1

RECA: Relevant Component Analysis for Supervised Distance Metric Learning

Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.

Authors:Nan Xiao [aut, cre, cph]

RECA_1.7.1.tar.gz
RECA_1.7.1.zip(r-4.7-any)RECA_1.7.1.zip(r-4.6-any)RECA_1.7.1.zip(r-4.5-any)
RECA_1.7.1.tgz(r-4.6-any)RECA_1.7.1.tgz(r-4.5-any)
RECA_1.7.1.tar.gz(r-4.7-any)RECA_1.7.1.tar.gz(r-4.6-any)
RECA_1.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RECA/json (API)

# Install 'RECA' in R:

install.packages('RECA', repos = c('https://nanxstats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nanxstats/reca/issues

Pkgdown/docs site:https://nanx.me

On CRAN:

machine-learning metric-learning

4.02 score 7 stars 5 scripts 269 downloads 3 mentions 1 exports 0 dependencies

Last updated from:2b94f556c5. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	101
source / vignettes	OK	180
linux-release-x86_64	OK	102
macos-release-arm64	OK	69
macos-oldrel-arm64	OK	76
windows-devel	OK	58
windows-release	OK	60
windows-oldrel	OK	57
wasm-release	OK	74