The purpose of the DAL Toolbox is to provide time series data analysis functions organized as a framework. It supports data preprocessing, classification, regression, clustering, and time series forecasting.
Installation
The latest version of the DAL Toolbox on CRAN is available at: https://CRAN.R-project.org/package=daltoolbox
You can install the stable version of DAL Toolbox from CRAN with:
Or install the development version directly from GitHub:
library(devtools)
devtools::install_github("cefet-rj-dal/daltoolbox", force=TRUE, dependencies=FALSE, upgrade="never")
Examples
Classification: https://github.com/cefet-rj-dal/daltoolbox/tree/main/classification
Clustering: https://github.com/cefet-rj-dal/daltoolbox/tree/main/clustering
Graphics: https://github.com/cefet-rj-dal/daltoolbox/tree/main/graphics
Regression: https://github.com/cefet-rj-dal/daltoolbox/tree/main/regression
Transformations: https://github.com/cefet-rj-dal/daltoolbox/tree/main/transf
Autoencoders: https://github.com/cefet-rj-dal/daltoolbox/tree/main/autoencoder
The examples are organized according to the general functions (data preprocessing), clustering, classification, regression, and autoencoders.
This version integrates with Python via PyTorch and Scikit-learn.