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:
baritsu_0.0.2.tar.gz
baritsu_0.0.2.zip(r-4.5)baritsu_0.0.2.zip(r-4.4)baritsu_0.0.2.zip(r-4.3)
baritsu_0.0.2.tgz(r-4.4-any)baritsu_0.0.2.tgz(r-4.3-any)
baritsu_0.0.2.tar.gz(r-4.5-noble)baritsu_0.0.2.tar.gz(r-4.4-noble)
baritsu_0.0.2.tgz(r-4.4-emscripten)baritsu_0.0.2.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/paithiov909/baritsu/issues
Last updated 2 months agofrom:dec86eeec6
Exports:adaboostdecision_treeshoeffding_treehoeffding_treeslarslinear_regressionlinear_regression_bayesianlinear_svmlogistic_regressionnaive_bayesperceptronrandom_forestsoftmax_regression
Dependencies:clicodetoolscolorspacecpp11dplyrfansifarvergenericsggplot2globalsgluegtablehardhatisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmlpackmunsellnlmeparsnippillarpkgconfigprettyunitspurrrR6RColorBrewerRcppRcppArmadilloRcppEnsmallenrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AdaBoost | adaboost |
| Decision trees | decision_trees |
| Hoeffding trees | hoeffding_trees |
| Linear regression | linear_regression |
| Bayesian linear regression | linear_regression_bayesian |
| L2-regularized support vector machine | linear_svm |
| L2-regularized logistic regression | logistic_regression |
| Parametric naive Bayes classifier | naive_bayes |
| Single level neural network | perceptron |
| Prediction using mlpack via baritsu | predict.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 forests | random_forest |
| Softmax regression | softmax_regression |
