311ac284d99ea7243e0918949f3a499a7a93fab5,examples/decoding/plot_haxby_space_net.py,,,#,14

Before Change

    coef_img.to_filename("haxby_%s_weights.nii" % penalty)
    print("- %s %s" % (penalty, "-" * 60))
    print("Number of train samples : %i" % condition_mask_train.sum())
    print("Number of test samples  : %i" % condition_mask_test.sum())
    print("Classification accuracy : %g%%" % accuracy)
    print("_" * 80)

plt.show()

After Change

// Visualization
coef_img = decoder.coef_img_
plot_stat_map(coef_img, background_img,
              title="tv-l1: accuracy %g%%" % accuracy,
              cut_coords=(-34, -16), display_mode="yz")

// Save the coefficients to a nifti file
coef_img.to_filename("haxby_tv-l1_weights.nii")

Instances