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

Before Change

                  cut_coords=(-34, -16), display_mode="yz")
    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)

After Change

// Now Fit SpaceNet with a TV-l1 penalty
decoder = SpaceNetClassifier(memory="cache", penalty="tv-l1")
decoder.fit(X_train, y_train)
y_pred = decoder.predict(X_test)
accuracy = (y_pred == y_test).mean() * 100.
print("TV-l1 classification accuracy : %g%%" % accuracy)

// Visualization

Instances