Package: baritsu 0.0.2

baritsu: Wrappers for 'mlpack'

A collection of wrappers for the 'mlpack' package that allows passing formula as their argument.

Authors:Akiru Kato [aut, cre]

baritsu_0.0.2.tar.gz
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baritsu_0.0.2.tgz(r-4.4-any)baritsu_0.0.2.tgz(r-4.3-any)
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baritsu.pdf |baritsu.html
baritsu/json (API)

# Install 'baritsu' in R:
install.packages('baritsu', repos = c('https://paithiov909.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/paithiov909/baritsu/issues

On CRAN:

tidymodels

13 exports 3 stars 1.08 score 45 dependencies 1 scripts

Last updated 25 days agofrom:dadde57a2d. Checks:OK: 6 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 14 2024
R-4.5-winOKAug 14 2024
R-4.5-linuxOKAug 14 2024
R-4.4-winOKAug 14 2024
R-4.4-macOKAug 14 2024
R-4.3-winOKAug 14 2024
R-4.3-macERRORAug 14 2024

Exports:adaboostdecision_treeshoeffding_treehoeffding_treeslarslinear_regressionlinear_regression_bayesianlinear_svmlogistic_regressionnaive_bayesperceptronrandom_forestsoftmax_regression

Dependencies:clicodetoolscolorspacecpp11dplyrfansifarvergenericsggplot2globalsgluegtablehardhatisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmlpackmunsellnlmeparsnippillarpkgconfigprettyunitspurrrR6RColorBrewerRcppRcppArmadilloRcppEnsmallenrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
AdaBoostadaboost
Decision treesdecision_trees
Hoeffding treeshoeffding_trees
Linear regressionlinear_regression
Bayesian linear regressionlinear_regression_bayesian
L2-regularized support vector machinelinear_svm
L2-regularized logistic regressionlogistic_regression
Parametric naive Bayes classifiernaive_bayes
Single level neural networkperceptron
Prediction using mlpack via baritsupredict.baritsu predict.baritsu_ab predict.baritsu_blr predict.baritsu_dt predict.baritsu_ht predict.baritsu_lgr predict.baritsu_lr predict.baritsu_nbc predict.baritsu_prc predict.baritsu_rf predict.baritsu_sr predict.baritsu_svm
Random forestsrandom_forest
Softmax regressionsoftmax_regression