daltoolboxdp: Deep Python Extensions for 'daltoolbox'
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>.
| Version: |
1.2.747 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
tspredit, daltoolbox, reticulate |
| Published: |
2026-03-11 |
| DOI: |
10.32614/CRAN.package.daltoolboxdp |
| Author: |
Eduardo Ogasawara 
[aut, ths, cre],
Diego Salles [aut],
Janio Lima [aut],
Lucas Tavares [aut],
Eduardo Bezerra [ctb],
CEFET/RJ [cph] |
| Maintainer: |
Eduardo Ogasawara <eogasawara at ieee.org> |
| BugReports: |
https://github.com/cefet-rj-dal/daltoolboxdp/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://cefet-rj-dal.github.io/daltoolboxdp/,
https://github.com/cefet-rj-dal/daltoolboxdp |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
daltoolboxdp results |
Documentation:
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