Team: Rebecca Salles (CEFET/RJ), Carla Pacheco (CEFET/RJ & PUC-Rio), Eduardo Bezerra (CEFET/RJ), Esther Pacitti (INRIA & University of Montpellier), Fabio Porto (LNCC), Eduardo Ogasawara (CEFET/RJ)
Description: 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.
It adopts the inherited model of the DAL Toolbox.
Code repository at Git-Hub: https://cefet-rj-dal.github.io/tspredit/
A project containing an example of the usage is obtained at: https://github.com/cefet-rj-dal-dev/tlkds
Acknowledgments: The authors thank FAPERJ, CAPES, and CNPq for partially sponsoring this work.