Added residualizing and scaling to NBS-Predict #13
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shit, I think it deleted some docs stuff
update my refactoring branch so I can rearrange stuff without merge conflicts later
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Also, NBS-Predict workflow doesn't have a CLI yet. it's a WIP |
62442katieb
added
bug
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Mission accomplished. Merging bc I need to get IDConn up and running on CARC |
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Residualizes edges and outcoem within CV folds in
kfold_nbs, then scales (unless outcome is binary, then only edges are scaled). Train and test data are residualized and scaled similarly innbs_predict.py.Added mean squared error as a performance metric. Now performance metrics are saved to a json.
Strength plots are unreliable for some parcellations (i.e., the Craddock 2011 parcellation bc it skips two numbers between 0 and 270). Saves strength nifti anyway. Changed default colormap to
seismic.Simplified output naming.