9ce99b87ced85d30b755c4bf8e94b1d592b963bd,nilmtk/metrics.py,,rms_error_power,#Any#Any#,137
Before Change
re = {}
for appliance in predicted_power:
re[appliance] = np.std(predicted_power[appliance] -
df_appliances_ground_truth[appliance].values)
return re
//////////////////// FUNCTIONS BELOW THIS LINE HAVE NOT YET CONVERTED TO NILMTK v0.2 //////////
After Change
error = {}
both_sets_of_meters = iterate_through_submeters_of_two_metergroups(
predictions, ground_truth)
for pred_meter, ground_truth_meter in both_sets_of_meters:
sum_of_squared_diff = 0.0
n_samples = 0
diff_generator = diff_between_two_meters(pred_meter, ground_truth_meter)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: nilmtk/nilmtk
Commit Name: 9ce99b87ced85d30b755c4bf8e94b1d592b963bd
Time: 2014-07-10
Author: jack-list@xlk.org.uk
File Name: nilmtk/metrics.py
Class Name:
Method Name: rms_error_power
Project Name: nilmtk/nilmtk
Commit Name: 1176c52ed5a1277a5cb979ae453bb951d1ea9116
Time: 2014-07-10
Author: jack-list@xlk.org.uk
File Name: nilmtk/metrics.py
Class Name:
Method Name: mean_normalized_error_power
Project Name: nilmtk/nilmtk
Commit Name: 1176c52ed5a1277a5cb979ae453bb951d1ea9116
Time: 2014-07-10
Author: jack-list@xlk.org.uk
File Name: nilmtk/metrics.py
Class Name:
Method Name: error_in_assigned_energy