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-4.5)mlf_1.2.1.zip(r-4.4)mlf_1.2.1.zip(r-4.3)
mlf_1.2.1.tgz(r-4.4-any)mlf_1.2.1.tgz(r-4.3-any)
mlf_1.2.1.tar.gz(r-4.5-noble)mlf_1.2.1.tar.gz(r-4.4-noble)
mlf_1.2.1.tgz(r-4.4-emscripten)mlf_1.2.1.tgz(r-4.3-emscripten)
mlf.pdf |mlf.html✨
mlf/json (API)

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12 exports 0.00 score 0 dependencies 12 scripts 143 downloads

Last updated 6 years agofrom:7bd3fc08bf. Checks:OK: 7. Indexed: yes.

Exports:bootbvtodistcorrentropyget_biasget_mseget_varjointentropykldmimicperm

Dependencies: