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:

Conda:

machine-learningmetric-learning

4.21 score 7 stars 5 scripts 1.5k downloads 3 mentions 1 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK128
source / vignettesOK149
linux-releaseOK85
macos-releaseOK116
macos-oldrelOK64
windows-develOK58
windows-releaseOK62
windows-oldrelOK66
wasm-releaseOK76

Exports:rca

Dependencies: