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.
| Version: |
0.1.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
ABCanalysis, caret, data.table, dplyr, fastshap, furrr, future, magrittr, optparse, parallel, purrr, R6, readr, rjson, rlang, rsample, stats, stringr, tibble, tidyr, utils, vip |
| Suggests: |
ada, adabag, arm, bartMachine, bst, C50, caTools, class, Cubist, e1071, earth, elasticnet, evtree, fastICA, foreach, frbs, gam, gbm, ggplot2, glmnet, 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, pls, plyr, proxy, quantregForest, randomForest, ranger, rFerns, rmarkdown, rpart, rrcov, rrcovHD, RSNNS, RWeka, sda, shapviz, spls, superpc, VGAM, xgboost |
| Published: |
2024-02-16 |
| DOI: |
10.32614/CRAN.package.flowml |
| Author: |
Sebastian Malkusch
 [aut, cre]
(<https://orcid.org/0000-0001-6766-140X>),
Kolja Becker
[aut] (<https://orcid.org/0000-0001-8282-5329>),
Alexander Peltzer
[ctb] (<https://orcid.org/0000-0002-6503-2180>),
Neslihan Kaya
[ctb] (<https://orcid.org/0000-0002-0213-3072>),
Boehringer Ingelheim Ltd. [cph, fnd] |
| Maintainer: |
Sebastian Malkusch <sebastian.malkusch at boehringer-ingelheim.com> |
| BugReports: |
https://github.com/Boehringer-Ingelheim/flowml/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/Boehringer-Ingelheim/flowml |
| NeedsCompilation: |
no |
| CRAN checks: |
flowml results |