Package: learningmachine 2.1.1

T. Moudiki

learningmachine: Machine Learning with Explanations and Uncertainty Quantification

Regression-based Machine Learning with explanations and uncertainty quantification.

Authors:T. Moudiki

learningmachine_2.1.1.tar.gz
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learningmachine.pdf |learningmachine.html
learningmachine/json (API)

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

Peer review:

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

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

On CRAN:

conformal-predictionmachine-learningmachine-learning-algorithmsmachinelearningstatistical-learninguncertainty-quantification

3 exports 1 stars 1.85 score 51 dependencies

Last updated 10 days agofrom:a42285c9ec

Exports:BaseClassifierRegressor

Dependencies:base64enccachemclicodetoolscpp11curldigestdoSNOWdplyrevaluatefansifastmapforeachgenericsgluehighrhtmltoolsiteratorsjsonliteknitrlatticelifecyclemagrittrmemoisepillarpkgconfigpurrrquadprogquantmodR6randtoolboxRcppreprrlangrngWELLskimrsnowstringistringrtibbletidyrtidyselecttseriesTTRutf8vctrswithrxfunxtsyamlzoo

Getting started

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jul 15 2024.

Last update: 2024-07-13
Started: 2023-09-16

Prob. classifiers

Rendered fromclassifiers-probs.Rmdusingknitr::rmarkdownon Jul 15 2024.

Last update: 2024-07-09
Started: 2024-03-24

Quasi-Randomized Neural Networks

Rendered fromqrnn.Rmdusingknitr::rmarkdownon Jul 15 2024.

Last update: 2024-07-09
Started: 2024-03-31