function selected_indices=cosmo_anova_feature_selector(dataset, how_many)
% find the features that show the most variance between classes
%
% selected_indices=cosmo_anova_feature_selector(dataset, how_many)
%
% Inputs:
% dataset struct with .samples and .sa.targets
% how_many value between 0 and 1 keeps how_many*100% features;
% values >=1 keeps how_many features
%
% Output:
% selected_indices feature ids in dataset with most variance between
% classes.
%
% Example:
% ds=cosmo_synthetic_dataset();
% disp(size(ds.samples))
% %|| [ 6 6 ]
% cosmo_anova_feature_selector(ds,.45) % find best ~45% of features
% %|| [ 2 4 5 ]
% cosmo_anova_feature_selector(ds,4) % find best 4 features
% %|| [ 2 4 5 3 ]
%
% # For CoSMoMVPA's copyright information and license terms, #
% # see the COPYING file distributed with CoSMoMVPA. #
