Using swarm optimization instead of SAGE for stage 2. #48
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Owner
jrudar
commented
Oct 7, 2023
jrudar
commented
- Using swarm optimizer for stage 2 feature selection.
Updated API information
- More emphasis on balanced accuracy in score function
- Updated stage 2 selection to use swarm-based algorithms or MultiSURF. Note, MultiSURF algorithm still needs to be modified to conduct a better NN search. - Updated version requirements for dependencies - Number of iterations before FWER correction is applied is now done correctly - Updated Python versions for 3.8 - 3.12 - Feature clustering is now done using feature importance scores from ETC and MultiSURF models. Meta-samples are then reduced in dimensionality using UMAP - Proper formatting
- Fixed location of imports - Updated API documentation - Added comments on where some code was adapted from - UMAP metric is now 'mahalanobis'
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