36dd7cf04dcd4e71ca4e1a0086713c51759fd42d,plot_poldrack_space_net.py,,,#,7

Before Change

plt.close("all")
background_img = mean_img(X_train)
background_img.to_filename("poldrack_mean.nii")
slicer = plot_stat_map(coef_niimg, background_img, cut_coords=[20, -2],
                       display_mode="yz", title="%s weights" % penalty)
plt.show()

After Change

background_img = mean_img(X_train)
for penalty, decoder in decoders.iteritems():
    coef_img = mean_img(decoder.coef_img_)
    plot_stat_map(coef_img, background_img, title=penalty, display_mode="yz",
                  cut_coords=[20, -2])
plt.show()

Instances