CRAN/E | mlf

mlf

Machine Learning Foundations

Installation

About

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.

mlf-project.us/

Key Metrics

Version 1.2.1
Published 2018-06-25 2273 days ago
Needs compilation? no
License GPL-2
CRAN checks mlf results

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Maintainer

Maintainer

Kyle Peterson

Authors

Kyle Peterson

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

mlf archive

Imports

stats
utils