daltoolboxdp
DAL Toolbox Deep Python
daltoolboxdp extends daltoolbox with Python-backed components, with
emphasis on deep learning and Python-native modeling. In the package
name, dp stands for Deep Python.
It currently focuses on:
- Deep learning models backed by
torch - Scikit-learn classifiers exposed through the
daltoolboxAPI - Time-series forecasting models backed by Python
- Integration of Python model objects into the
daltoolboxarchitecture
These capabilities rely on the reticulate bridge, so the package can
keep the object and workflow conventions of daltoolbox while
delegating training, encoding, and prediction to Python libraries such
as torch and scikit-learn.
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).
Examples
Example scripts are available at:
Installation
You can install the latest stable version from CRAN:
install.packages("daltoolboxdp")
To install the development version from GitHub:
library(devtools)
devtools::install_github("cefet-rj-dal/daltoolboxdp", force = TRUE, dependencies = FALSE, upgrade = "never")
Bug reports and feature requests
Please report issues or suggest new features via: