Provides functionality to perform machine-learning-based modeling in a computation pipeline.
Its functions contain the basic steps of machine-learning-based knowledge discovery workflows,
including model training and optimization, model evaluation, and model testing.
To perform these tasks, the package builds heavily on existing machine-learning packages,
such as 'caret' <https://github.com/topepo/caret/> and associated packages.
The package can train multiple models, optimize model hyperparameters by performing a grid search
or a random search, and evaluates model performance by different metrics.
Models can be validated either on a test data set, or in case of a small sample size
by k-fold cross validation or repeated bootstrapping.
It also allows for 0-Hypotheses generation by performing permutation experiments.
Additionally, it offers methods of model interpretation and item categorization
to identify the most informative features from a high dimensional data space.
The functions of this package can easily be integrated into computation pipelines
(e.g. 'nextflow' <https://www.nextflow.io/>) and hereby improve scalability,
standardization, and re-producibility in the context of machine-learning.
||R (≥ 3.5.0)
||ABCanalysis, caret, data.table, dplyr, fastshap, furrr, future, magrittr, optparse, parallel, purrr, R6, readr, rjson, rlang, rsample, stats, stringr, tibble, tidyr, utils, vip
||ada, adabag, arm, bartMachine, bst, C50, caTools, class, Cubist, e1071, earth, elasticnet, evtree, fastICA, foreach, frbs, gam, gbm, ggplot2, glmnet, gpls, h2o, hda, ipred, keras, kernlab, kknn, klaR, knitr, kohonen, lars, leaps, LiblineaR, LogicReg, MASS, Matrix, mboost, mda, mgcv, monomvn, neuralnet, nnet, nnls, pamr, partDSA, party, partykit, penalized, penalizedLDA, pls, plyr, proxy, quantregForest, randomForest, ranger, rFerns, rmarkdown, rpart, rrcov, rrcovHD, RSNNS, RWeka, sda, shapviz, spls, superpc, vbmp, VGAM, xgboost
Boehringer Ingelheim Ltd. [cph, fnd]
||Sebastian Malkusch <sebastian.malkusch at boehringer-ingelheim.com>
||GPL (≥ 3)