Deep Python Extensions for 'daltoolbox' R package daltoolboxdp version 1.3.767 Extends 'daltoolbox' with Python-backed components for deep learning, scikit-learn classification, and time-series forecasting through 'reticulate'. The package provides objects that follow the 'daltoolbox' architecture while delegating model creation, fitting, encoding, and prediction to Python libraries such as 'torch' and 'scikit-learn'. In the package name, 'dp' stands for 'Deep Python'. The overall workflow is inspired by the Experiment Lines approach described in Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>. Software Depends: R (>= 4.1.0) Imports: tspredit, daltoolbox, reticulate Suggests: testthat (>= 3.0.0) Eduardo Ogasawara <eogasawara@ieee.org> Comprehensive R Archive Network (CRAN) Eduardo Ogasawara [aut, ths, cre] (ORCID: <https://orcid.org/0000-0002-0466-0626>), Diego Salles [aut], Erich Carvalho [aut], Janio Lima [aut], Joao Kongevold [aut], Lucas Tavares [aut], Eduardo Bezerra [ctb], CEFET/RJ [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=daltoolboxdp/LICENSE) 2026-07-10 application/tgz https://CRAN.R-project.org/package=daltoolboxdp doi:10.32614/CRAN.package.daltoolboxdp