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:

install.packages("daltoolbox")

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.