ContextLab / ContextLab/supereeg

Model masking (future release)

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Python
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Description

We should be able to pass in a num-locations by num-locations binary mask, where if mask(i,j) = False that location is *never* updated or considered when doing the reconstructions (i.e. that entry of the correlation model is always set to 0, no matter what else is passed in later)

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