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updated weighted_f1 to not assume binary classification #3728

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Jun 16, 2021
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updated weighted_f1 to not assume binary classification #3728

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7 changes: 2 additions & 5 deletions parlai/core/torch_classifier_agent.py
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Original file line number Diff line number Diff line change
Expand Up @@ -199,11 +199,8 @@ def value(self) -> float:
values = list(self._values.values())
if len(values) == 0:
return weighted_f1
total_examples = (
values[0]._true_positives
+ values[0]._true_negatives
+ values[0]._false_positives
+ values[0]._false_negatives
total_examples = sum(
[each._true_positives + each._false_negatives for each in values]
)
for each in values:
actual_positive = each._true_positives + each._false_negatives
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