Package: RECA 1.7

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]

RECA_1.7.tar.gz
RECA_1.7.zip(r-4.5)RECA_1.7.zip(r-4.4)RECA_1.7.zip(r-4.3)
RECA_1.7.tgz(r-4.4-any)RECA_1.7.tgz(r-4.3-any)
RECA_1.7.tar.gz(r-4.5-noble)RECA_1.7.tar.gz(r-4.4-noble)
RECA_1.7.tgz(r-4.4-emscripten)RECA_1.7.tgz(r-4.3-emscripten)
RECA.pdf |RECA.html✨
RECA/json (API)

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

Peer review:

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

On CRAN:

machine-learningmetric-learning

4.02 score 7 stars 4 scripts 161 downloads 3 mentions 1 exports 0 dependencies

Last updated 7 months agofrom:bd22f37e74. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:rca

Dependencies: