MLwrap: Machine Learning Modelling for Everyone (original) (raw)
A minimal library specifically designed to make the estimation of Machine Learning (ML) techniques as easy and accessible as possible, particularly within the framework of the Knowledge Discovery in Databases (KDD) process in data mining. The package provides essential tools to structure and execute each stage of a predictive or classification modeling workflow, aligning closely with the fundamental steps of the KDD methodology, from data selection and preparation, through model building and tuning, to the interpretation and evaluation of results using Sensitivity Analysis. The 'MLwrap' workflow is organized into four core steps; preprocessing(), build_model(), fine_tuning(), and sensitivity_analysis(). These steps correspond, respectively, to data preparation and transformation, model construction, hyperparameter optimization, and sensitivity analysis. The user can access comprehensive model evaluation results including fit assessment metrics, plots, predictions, and performance diagnostics for ML models implemented through 'Neural Networks', 'Random Forest', 'XGBoost' (Extreme Gradient Boosting), and 'Support Vector Machines' (SVM) algorithms. By streamlining these phases, 'MLwrap' aims to simplify the implementation of ML techniques, allowing analysts and data scientists to focus on extracting actionable insights and meaningful patterns from large datasets, in line with the objectives of the KDD process.
| Version: | 0.2.1 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| Imports: | R6, tidyr, magrittr, dials, parsnip, recipes, rsample, tune, workflows, yardstick, vip, glue, innsight, fastshap, DiagrammeR, ggbeeswarm, ggplot2, sensitivity, dplyr, rlang, tibble, patchwork, cli, scales |
| Suggests: | testthat (≥ 3.0.0), torch, brulee, ranger, kernlab, xgboost |
| Published: | 2025-10-21 |
| DOI: | 10.32614/CRAN.package.MLwrap |
| Author: | Javier Martínez García [aut], Juan José Montaño Moreno [ctb], Albert Sesé [cre, ctb] |
| Maintainer: | Albert Sesé <albert.sese at uib.es> |
| BugReports: | https://github.com/AlbertSesePsy/MLwrap/issues |
| License: | GPL-3 |
| URL: | https://github.com/AlbertSesePsy/MLwrap |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MLwrap results |
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