<s> """<STR_LIT>""" <EOL> from nilearn . datasets import fetch_mixed_gambles <EOL> data = fetch_mixed_gambles ( n_subjects = <NUM_LIT:16> ) <EOL> zmap_filenames = data . zmaps <EOL> behavioral_target = data . gain <EOL> mask_filename = data . mask_img <EOL> from nilearn . decoding import SpaceNetRegressor <EOL> decoder = SpaceNetRegressor ( mask = mask_filename , penalty = "<STR_LIT>" , <EOL> eps = <NUM_LIT> , <EOL> memory = "<STR_LIT>" ) <EOL> decoder . fit ( zmap_filenames , behavioral_target ) <EOL> from nilearn . plotting import plot_stat_map , show <EOL> plot_stat_map ( decoder . coef_img_ , title = "<STR_LIT>" , display_mode = "<STR_LIT>" , <EOL> cut_coords = [ <NUM_LIT:20> , - <NUM_LIT:2> ] ) <EOL> decoder = SpaceNetRegressor ( mask = mask_filename , penalty = "<STR_LIT>" , <EOL> eps = <NUM_LIT> , <EOL> memory = "<STR_LIT>" ) <EOL> decoder . fit ( zmap_filenames , behavioral_target ) <EOL> plot_stat_map ( decoder . coef_img_ , title = "<STR_LIT>" , display_mode = "<STR_LIT>" , <EOL> cut_coords = [ <NUM_LIT:20> , - <NUM_LIT:2> ] ) <EOL> show ( ) </s>
