Package: mlf 1.2.1

mlf: Machine Learning Foundations

Offers a gentle introduction to machine learning concepts for practitioners with a statistical pedigree: decomposition of model error (bias-variance trade-off), nonlinear correlations, information theory and functional permutation/bootstrap simulations. Székely GJ, Rizzo ML, Bakirov NK. (2007). <doi:10.1214/009053607000000505>. Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC. (2011). <doi:10.1126/science.1205438>.

Authors:Kyle Peterson [aut, cre]

mlf_1.2.1.tar.gz
mlf_1.2.1.zip(r-4.7)mlf_1.2.1.zip(r-4.6)mlf_1.2.1.zip(r-4.5)
mlf_1.2.1.tgz(r-4.6-any)mlf_1.2.1.tgz(r-4.5-any)
mlf_1.2.1.tar.gz(r-4.7-any)mlf_1.2.1.tar.gz(r-4.6-any)
mlf_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlf/json (API)

# Install 'mlf' in R:
install.packages('mlf', repos = c('https://kdpeterson51.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.08 score 12 scripts 159 downloads 12 exports 0 dependencies

Last updated from:7bd3fc08bf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK121
linux-release-x86_64OK133
macos-release-arm64OK161
macos-oldrel-arm64OK130
windows-develOK64
windows-releaseOK55
windows-oldrelOK63
wasm-releaseOK95

Exports:bootbvtodistcorrentropyget_biasget_mseget_varjointentropykldmimicperm

Dependencies: