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TSPredIT

The Time Series Prediction with Integrated Tuning (TSPredIT) is based on DAL Toolbox with integrated hyperparameter optimization combining machine learning and data preprocessing. It also contains time series outliers removal, data augmentation, ensemble models, and a more flexible workflow design for Data Analytics tasks.

Installation

The latest version of TSPredIT at CRAN is available at: https://CRAN.R-project.org/package=tspredit

You can install the stable version of TSPredIT from CRAN with:

install.packages("tspredit")

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

library(devtools)
devtools::install_github("cefet-rj-dal/tspredit", force=TRUE, upgrade="never")

Examples

The TSPredIT examples are made available at: https://nbviewer.org/github/cefet-rj-dal/tspredit/tree/main/examples

The TSPredIT is built on top of DAL Toolbox. Documentation of DAL Toolbox is made available at: https://cefet-rj-dal.github.io/daltoolbox/

library(tspredit)
#> Registered S3 method overwritten by 'quantmod':
#>   method            from
#>   as.zoo.data.frame zoo

Bugs and new features request

https://github.com/cefet-rj-dal/tspredit/issues

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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