Package: mlS3
Type: Package
Title: Unified S3 Interface to Machine Learning Models
Version: 0.1.1
Date: 2026-05-24
Authors@R: 
    person("T.", "Moudiki",
           email = "thierry.moudiki@gmail.com",
           role = c("aut", "cre"))
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>
Description: Provides a unified and consistent S3 interface for
        training and predicting with a variety of machine learning
        models in R. The package wraps popular algorithms (e.g., from
        'glmnet', 'lightgbm', 'ranger', 'e1071', and 'caret') under a
        common workflow based on simple wrap_*() and predict()
        functions, allowing users to switch between models without
        changing their code structure. It supports both classification
        and regression tasks and facilitates rapid experimentation,
        benchmarking, and comparison of models. By abstracting away
        package-specific APIs while preserving flexibility in parameter
        specification, the package streamlines machine learning
        workflows and promotes reproducibility.
License: GPL-3
Encoding: UTF-8
Imports: e1071, glmnet, lightgbm, ranger
Suggests: caret, knitr, randomForest, kernlab
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-28 11:19:15 UTC; root
Author: T. Moudiki [aut, cre]
Repository: https://thierrymoudiki.r-universe.dev
Date/Publication: 2026-05-28 08:56:09 UTC
RemoteUrl: https://github.com/cran/mlS3
RemoteRef: HEAD
RemoteSha: 505363f1fe9c067f9ec523b3f7ef2a05bf04857e