FEDOT.Web
This repository contains the tool for interactive editing, evolution and visualization of the composite machine learning models obtained with FEDOT AutoML Framework. The online version this tool is available in https://fedot.onti.actcognitive.org/
Demo
Documentation
Main pages
Showcase of the models
Description of several domain-specific cases that can be sovled using composite pipelines
Detailed model description
Detailed description of domain case, pipeline and its paramaters for specified case
Composite model editor
Interactive editor of the pipeline structure. All nodes, edges, and hyperparameters can be changed.
Analytics
Analytics for the current pipeline and its history of evolution.
Evolution history
The visualisation of the evolution history.
Algorithmic core
Open-source AutoML framework FEDOT
Acknowledgments
We acknowledge the contributors for their important impact and the participants of the numerous scientific conferences and workshops for their valuable advice and suggestions.
Contacts
Telegram channel for solving problems and answering questions on FEDOT and FEDOT.Web
Natural System Simulation Team
Citation
@article{nikitin2021automated, title = {Automated evolutionary approach for the design of composite machine learning pipelines}, author = {Nikolay O. Nikitin and Pavel Vychuzhanin and Mikhail Sarafanov and Iana S. Polonskaia and Ilia Revin and Irina V. Barabanova and Gleb Maximov and Anna V. Kalyuzhnaya and Alexander Boukhanovsky}, journal = {Future Generation Computer Systems}, year = {2021}, issn = {0167-739X}, doi = {https://doi.org/10.1016/j.future.2021.08.022}}