New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Enhancement] Ensemble support #13

Open

bcebere opened this issue Feb 2, 2023 · 0 comments

Labels

Contributor

bcebere commented Feb 2, 2023

Feature Description

Given a set of pipelines - or just estimators, users should be able to create ensembles.

Popular ensemble techniques

WeightedEnsemble: average across all scores/prediction results, maybe with weights
Stacking (meta ensembling): use a meta learner to learn the base classifier results
Majority Vote Ensemble
DCS: Dynamic Classifier Selection: Combination of multiple classifiers using local accuracy estimates
DES: Dynamic Ensemble Selection: From dynamic classifier selection to dynamic ensemble selection

Reference code in AutoPrognosis: https://github.com/vanderschaarlab/autoprognosis/tree/main/src/autoprognosis/plugins/ensemble

More about here: https://github.com/yzhao062/combo

bcebere added the enhancement label

bcebere mentioned this issue

[Enhancement] Add AutoML objective evaluation for ensembles #4

Open

DrShushen transferred this issue from another repository

DrShushen changed the title ~~[Feat] Ensemble support~~ [Enhancement] Ensemble support

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment