163eb7df13667e21b0e02a2706e18d1f53eee610,skrebate/iterrelief.py,IterRelief,fit,#IterRelief#Any#Any#,69
Before Change
weight_history.append(feature_weights)
feature_weights = [(x - mn)/(rg) for x in feature_weights]
distance_weights += feature_weights
After Change
// if no_diff is True, that means all features do not have a significant difference in weights between previous and current run.
no_diff = True
// if first iteration, set false
if iteration == 0:
no_diff = False
else:
for i in range(len(feature_weights)):
//previous array of feature_weights
prev = weight_history[len(weight_history)-1]
diff = abs(prev[i] - feature_weights[i])
// first encounter of value that has difference greater than threshold, set no_diff to False, and break out of checking loop
if diff >= 0.0001:
no_diff = False
break;
if no_diff:
break;
mx = max(feature_weights)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 13
Instances
Project Name: EpistasisLab/scikit-rebate
Commit Name: 163eb7df13667e21b0e02a2706e18d1f53eee610
Time: 2020-01-29
Author: alexmxu99@gmail.com
File Name: skrebate/iterrelief.py
Class Name: IterRelief
Method Name: fit
Project Name: EpistasisLab/scikit-rebate
Commit Name: ece383696800b9b34854df27a65a3d1d74669952
Time: 2020-05-28
Author: alexmxu@alexs-mbp-3.attlocal.net
File Name: skrebate/iterrelief.py
Class Name: IterRelief
Method Name: fit
Project Name: facebookresearch/ParlAI
Commit Name: 52be96bb254a48305064af8b4cbde803d8e83b51
Time: 2019-08-14
Author: edinan@fb.com
File Name: parlai/core/torch_ranker_agent.py
Class Name: TorchRankerAgent
Method Name: _get_train_preds