MLwrap: Machine Learning Modelling for Everyone
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: |
0.1.1 |
| 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 |
| Suggests: |
testthat (≥ 3.0.0), torch, brulee, ranger, kernlab, xgboost |
| Published: |
2025-09-18 |
| 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, NEWS |
| CRAN checks: |
MLwrap results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MLwrap
to link to this page.