311ac284d99ea7243e0918949f3a499a7a93fab5,examples/decoding/plot_haxby_space_net.py,,,#,14
Before Change
////// Visualization //////////////////////////////////////////////////////////////////////////////////////////////////////////////////
print("Results")
print("=" * 80)
coef_img = decoder.coef_img_
plot_stat_map(coef_img, background_img,
title="%s: accuracy %g%%" % (penalty, accuracy),
cut_coords=(-34, -16), display_mode="yz")
After Change
cut_coords=(-34, -16), display_mode="yz")
// Save the coefficients to a nifti file
coef_img.to_filename("haxby_graph-net_weights.nii")
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Now Fit SpaceNet with a TV-l1 penalty
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: nilearn/nilearn
Commit Name: 311ac284d99ea7243e0918949f3a499a7a93fab5
Time: 2015-11-29
Author: gael.varoquaux@normalesup.org
File Name: examples/decoding/plot_haxby_space_net.py
Class Name:
Method Name:
Project Name: nilearn/nilearn
Commit Name: 4090dd8821aec4e849dcd91c235ebbdc277393ce
Time: 2016-06-11
Author: gael.varoquaux@normalesup.org
File Name: examples/plot_nilearn_101.py
Class Name:
Method Name:
Project Name: nilearn/nilearn
Commit Name: 989ee60856e201cb7bdd0c6c585834e18d528046
Time: 2019-04-16
Author: jacobwvogel@gmail.com
File Name: examples/03_connectivity/plot_compare_decomposition.py
Class Name:
Method Name: