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frrsa in frrsa/fitting/crossvalidation.py optionally returns the object predictions. This object has the hard-coded column names "dissim_target" and "dissim_predicted". In case of fitting representational matrices that contain similarities, these column names are confusing.
Either conditionally name the columns based on whether similarity or dissimilarity is predicted or use a generic name that'd cover both cases.
The text was updated successfully, but these errors were encountered:
frrsa
in frrsa/fitting/crossvalidation.py optionally returns the objectpredictions
. This object has the hard-coded column names "dissim_target" and "dissim_predicted". In case of fitting representational matrices that contain similarities, these column names are confusing.Either conditionally name the columns based on whether similarity or dissimilarity is predicted or use a generic name that'd cover both cases.
The text was updated successfully, but these errors were encountered: