b3391eeb2f8587c0ebefe7f7a00f55ac6ec4dcf0,examples/decoding/plot_haxby_different_estimators.py,,,#,13
Before Change
for category in categories:
classification_target = stimuli[
np.logical_not(resting_state)] == category
t0 = time.time()
classifiers_scores[classifier_name][category] = cross_val_score(
classifier,
masked_timecourses,
classification_target,
After Change
print(70 * "_")
for category in categories:
task_mask = np.logical_not(resting_state)
classification_target = (stimuli[task_mask] == category)
t0 = time.time()
classifiers_scores[classifier_name][category] = cross_val_score(
classifier,
masked_timecourses,
classification_target,
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: nilearn/nilearn
Commit Name: b3391eeb2f8587c0ebefe7f7a00f55ac6ec4dcf0
Time: 2015-07-30
Author: dkamalakarreddy@gmail.com
File Name: examples/decoding/plot_haxby_different_estimators.py
Class Name:
Method Name:
Project Name: sentinel-hub/eo-learn
Commit Name: aa09a58ff0424e271600e820a85c065c15cbee6e
Time: 2019-08-02
Author: devis.peressutti@sinergise.com
File Name: mask/eolearn/mask/snow_mask.py
Class Name: TheiaSnowMask
Method Name: _apply_first_pass
Project Name: nilearn/nilearn
Commit Name: b3391eeb2f8587c0ebefe7f7a00f55ac6ec4dcf0
Time: 2015-07-30
Author: dkamalakarreddy@gmail.com
File Name: examples/decoding/plot_haxby_full_analysis.py
Class Name:
Method Name: