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Improvement of compute_metrics_dataset.py #23

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Improvement of compute_metrics_dataset.py #23

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12 changes: 8 additions & 4 deletions dosed/functions/compute_metrics_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,16 +55,20 @@ def compute_metrics_dataset(

# Compute_metrics(events, predicted_events, threshold)
for metric in metrics.keys():
metrics_test[event_num][metric].append(metrics[metric](
predicted_events,
events))
metrics_test[event_num][metric].append(metrics[metric](predicted_events, events))

# If for any event and record the network predicted events, return -1
if found_some_events is False:
return -1

# Else, average the metrics for the predictions for each event and record
for event_num in range(network.number_of_classes - 1):
for metric in metrics.keys():
metrics_test[event_num][metric] = np.nanmean(np.array(metrics_test[event_num][metric]))
num_records_with_found_events = len(metrics_test[event_num][metric])
num_records = len(test_dataset.records)
if (num_records_with_found_events > 0):
metrics_test[event_num][metric] = np.nanmean(np.array(metrics_test[event_num][metric])) * (num_records_with_found_events / num_records)
else:
metrics_test[event_num][metric] = -1

return metrics_test