daltoolboxdp: Python-Based Extensions for Data Analytics Workflows

Provides Python-based extensions to enhance data analytics workflows, particularly for tasks involving data preprocessing and predictive modeling. Includes tools for data sampling, transformation, feature selection, balancing strategies (e.g., SMOTE), and model construction. These capabilities leverage Python libraries via the reticulate interface, enabling seamless integration with a broader machine learning ecosystem. Supports instance selection and hybrid workflows that combine R and Python functionalities for flexible and reproducible analytical pipelines. The architecture is inspired by the Experiment Lines approach, which promotes modularity, extensibility, and interoperability across tools. More information on Experiment Lines is available in Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.

Getting started

Package details

AuthorEduardo Ogasawara [aut, ths, cre] (ORCID: <https://orcid.org/0000-0002-0466-0626>), Diego Salles [aut], Janio Lima [aut], Lucas Tavares [aut], Eduardo Bezerra [ctb], CEFET/RJ [cph]
MaintainerEduardo Ogasawara <eogasawara@ieee.org>
LicenseMIT + file LICENSE
Version1.2.727
URL https://cefet-rj-dal.github.io/daltoolboxdp/ https://github.com/cefet-rj-dal/daltoolboxdp
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("daltoolboxdp")

Try the daltoolboxdp package in your browser

Any scripts or data that you put into this service are public.

daltoolboxdp documentation built on June 29, 2025, 5:07 p.m.