Package: learningmachine 2.9.0

T. Moudiki

learningmachine: Machine Learning with Explanations and Uncertainty Quantification

Regression-based Machine Learning with explanations and uncertainty quantification.

Authors:T. Moudiki

learningmachine_2.9.0.tar.gz
learningmachine_2.9.0.zip(r-4.7)learningmachine_2.9.0.zip(r-4.6)learningmachine_2.9.0.zip(r-4.5)
learningmachine_2.9.0.tgz(r-4.6-x86_64)learningmachine_2.9.0.tgz(r-4.6-arm64)learningmachine_2.9.0.tgz(r-4.5-x86_64)learningmachine_2.9.0.tgz(r-4.5-arm64)
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learningmachine_2.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
learningmachine/json (API)

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

Bug tracker:https://github.com/techtonique/learningmachine/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

conformal-predictionmachine-learningmachine-learning-algorithmsmachinelearningstatistical-learninguncertainty-quantificationcpp

4.68 score 5 stars 19 scripts 5 exports 62 dependencies

Last updated from:dc09d2fddd. Checks:11 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING157
linux-devel-x86_64WARNING177
source / vignettesOK281
linux-release-arm64WARNING165
linux-release-x86_64WARNING174
macos-release-arm64WARNING131
macos-release-x86_64WARNING223
macos-oldrel-arm64WARNING119
macos-oldrel-x86_64WARNING206
windows-develWARNING190
windows-releaseWARNING149
windows-oldrelWARNING124
wasm-releaseOK151

Exports:BaseclassifierClassifierregressorRegressor

Dependencies:base64enccachemclassclicodetoolscpp11curldata.tabledigestdoSNOWdplyre1071evaluatefastmapforeachgenericsglmnetgluehighrhtmltoolsiteratorsjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisepillarpkgconfigproxypurrrquadprogquantmodR6randtoolboxrangerRcppRcppEigenreprrlangrngWELLshapeskimrsnowstringistringrsurvivaltibbletidyrtidyselecttseriesTTRutf8vctrswithrxfunxgboostxtsyamlzoo

Getting updates Bayesian RVFL
0 - Packages and data | 1 - update RVFL model using Polyak averaging | 2 - update RVFL model using Polyak averaging (Pt.2)
Rendered fromgetting-updates-bayesianrvfl.Rmdusingknitr::rmarkdown

Last update: 2026-04-23
Started: 2024-08-30

Getting started
0 - lm regression | 1 - ranger regression | 2 - KRR & ranger regression on Boston | 3 - KRR regression on mtcars | 4 - RVFL regression
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2024-11-08
Started: 2023-09-16

Getting updates
0 - Packages and data | 1 - RVFL regression updates | 2 - update RVFL model using Polyak averaging
Rendered fromgetting-updates.Rmdusingknitr::rmarkdown

Last update: 2024-11-08
Started: 2024-08-28

Prob. classifiers
1 - Using Classifier object | 2 - ranger classification | 3 - extratrees classification | 4 - Penguins dataset
Rendered fromclassifiers-probs.Rmdusingknitr::rmarkdown

Last update: 2024-11-08
Started: 2024-03-24

Quasi-Randomized -- Neural -- Networks
1 ranger regression | 2 - Using Classifier object
Rendered fromqrnn.Rmdusingknitr::rmarkdown

Last update: 2024-08-28
Started: 2024-03-31