The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=daltoolboxdp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.