DAL Toolbox
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
Graphics: https://github.com/cefet-rj-dal/daltoolbox/tree/main/graphics/
Transformation: https://github.com/cefet-rj-dal/daltoolbox/tree/main/transf/
Autoencoders: https://github.com/cefet-rj-dal/daltoolbox/tree/main/autoencoder/
Classification: https://github.com/cefet-rj-dal/daltoolbox/tree/main/classification/
Clustering: https://github.com/cefet-rj-dal/daltoolbox/tree/main/clustering/
Regression: https://github.com/cefet-rj-dal/daltoolbox/tree/main/regression/
Time series: https://github.com/cefet-rj-dal/daltoolbox/tree/main/timeseries/
The examples are organized according to general (data preprocessing), clustering, classification, regression, and time series functions. This version has Python integration with Pytorch.
library(daltoolbox)
#> Registered S3 method overwritten by 'quantmod':
#> method from
#> as.zoo.data.frame zoo
#> Registered S3 methods overwritten by 'forecast':
#> method from
#> head.ts stats
#> tail.ts stats
#>
#> Attaching package: 'daltoolbox'
#> The following object is masked from 'package:base':
#>
#> transform
## loading DAL Toolbox