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:
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)
# Install 'mlf' in R: |
install.packages('mlf', repos = c('https://kdpeterson51.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:7bd3fc08bf. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:bootbvtodistcorrentropyget_biasget_mseget_varjointentropykldmimicperm
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bootstrap Confidence Intervals via Resampling | boot |
Bias-Variance Trade-Off | bvto |
Distance Correlation | distcorr |
Entropy | entropy |
Bias | get_bias |
Mean Squared Error | get_mse |
Variance | get_var |
Joint Entropy | jointentropy |
Kullback-Leibler Divergence | kld |
Mutual Information | mi |
Maximal Information Criterion | mic |
Permutation Test | perm |