DAL Toolbox Tutorial – Eduardo Ogasawara

The goal of DAL Toolbox is to provide a series data analytics functions organized as a framework. It supports data preprocessing, classification, regression, clustering, and time series prediction functions.

Installation

The latest version of DAL Toolbox at 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")

You can install the development version of DAL Toolbox from GitHub https://github.com/cefet-rj-dal/daltoolbox with:

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

Time series: https://github.com/cefet-rj-dal/daltoolbox/tree/main/timeseries

Transformation: https://github.com/cefet-rj-dal/daltoolbox/tree/main/transf

The examples are organized according to general (data preprocessing), clustering, classification, regression, and time series functions. This version has Python integration with Pytorch.