Package: kerntools 1.0.2
kerntools: Kernel Functions and Tools for Machine Learning Applications
Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
Authors:
kerntools_1.0.2.tar.gz
kerntools_1.0.2.zip(r-4.5)kerntools_1.0.2.zip(r-4.4)kerntools_1.0.2.zip(r-4.3)
kerntools_1.0.2.tgz(r-4.4-any)kerntools_1.0.2.tgz(r-4.3-any)
kerntools_1.0.2.tar.gz(r-4.5-noble)kerntools_1.0.2.tar.gz(r-4.4-noble)
kerntools_1.0.2.tgz(r-4.4-emscripten)kerntools_1.0.2.tgz(r-4.3-emscripten)
kerntools.pdf |kerntools.html✨
kerntools/json (API)
NEWS
# Install 'kerntools' in R: |
install.packages('kerntools', repos = c('https://elies-ramon.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/elies-ramon/kerntools/issues
- showdata - Showdata
Last updated 6 days agofrom:641c64e716. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 12 2024 |
R-4.5-win | OK | Sep 12 2024 |
R-4.5-linux | OK | Sep 12 2024 |
R-4.4-win | OK | Sep 12 2024 |
R-4.4-mac | OK | Sep 12 2024 |
R-4.3-win | OK | Sep 12 2024 |
R-4.3-mac | OK | Sep 12 2024 |
Exports:AccAcc_rndBoots_CIBrayCurtiscenterKcenterXcosNormcosnormXdesparsifyDiracdummy_datadummy_varestimate_gammaF1FrobeniusfrobNormheatKhistKIntersectJaccardKendallkPCAkPCA_arrowskPCA_impKTALaplaceLinearminmaxMKCnmseNormal_CIplotImpPrecProcrustesRBFRecRuzickasimKSpeSpectrumsvm_impTSSvonNeumann
Dependencies:clicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandkernlablabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr