mvpa2.measures.winner

Data aggregation procedures

Functions

feature_loser_measure()	takes loser over features
feature_winner_measure()	takes winner over features
group_sample_loser_measure([attrs])	takes loser after meaning over attrs
group_sample_winner_measure([attrs])	takes winner after meaning over attrs
sample_loser_measure()	takes loser over samples
sample_winner_measure()	takes winner over samples

Classes

WinnerMeasure(axis, fx[, other_axis_prefix])

Select a “winning” element along samples or features.