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Fix set comprehension in per_class_scorer causing wrong overall metrics #567

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Fix set comprehension in per_class_scorer causing wrong overall metrics #567

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6 changes: 3 additions & 3 deletions scispacy/per_class_scorer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,13 +69,13 @@ def get_metric(self, reset: bool = False):

# Compute the precision, recall and f1 for all spans jointly.
sum_true_positives = sum(
{v for k, v in self._true_positives.items() if k != "untyped"}
[v for k, v in self._true_positives.items() if k != "untyped"]
)
sum_false_positives = sum(
{v for k, v in self._false_positives.items() if k != "untyped"}
[v for k, v in self._false_positives.items() if k != "untyped"]
)
sum_false_negatives = sum(
{v for k, v in self._false_negatives.items() if k != "untyped"}
[v for k, v in self._false_negatives.items() if k != "untyped"]
)
precision, recall, f1_measure = self._compute_metrics(
sum_true_positives, sum_false_positives, sum_false_negatives
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