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GSoC 2025 - ML Forecasting Tina
tags:
aeon-gsoc
Contributor: Tina Jin
GSoC page: https://summerofcode.withgoogle.com/organizations/numfocus/projects/details/MPYRSOTi
Project: aeon - Implementing and Evaluating Machine Learning Forecasters
Project length: 12 weeks
Mentors: Matthew Middlehurst, Tony Bagnall
Mid-project evaluation: July 14
Final evaluation: September 1
Blog link: https://medium.com/@jintina48/list/gsoc25-blog-11a0081fc6e2
Regular meeting time: 9:30 Monday UTC
Meeting time availability: 8:00 - 14:00 UTC
Project Summary
This project will investigate algorithms for forecasting based on traditional machine learning (tree based) and time series machine learning (transformation based). It will involve helping develop the aeon framework to process both standard ML and extrisnic regression algorithms for forecasting. This will involve evaluating regression algorithms already in
aeon
for forecasting problems as well asscikit-learn
regressors. The tree-based SETAR-Tree and SETAR-Forest algorithms will also be implemented in the forecasting module.Wish list of algorithms
SETAR-Tree/SETAR-Forest
Project Timeline
Issues: #2816 (SETAR-Tree/SETAR-Forest)
June 2nd: Week 1-2
June 16th: Week 3-4
June 30th: Week 5-6
Mid-project Deliverables
(preliminary)
MLP?
Week 7-8
Week 9-10
Week 11-12
Final Deliverables
Community Bonding Period
skforecast
intro to ML forecastingWeek 1:
Week 2:
Week 3:
Week 4:
Week 5:
Week 6:
Week 7:
Week 8:
Week 9:
Week 10:
Week 11:
Week 12: