autointent.metrics.regex.regex_partial_accuracy#
- autointent.metrics.regex.regex_partial_accuracy(y_true, y_pred)#
Calculate regex partial accuracy.
The regex partial accuracy is calculated as:
\[\text{Partial Accuracy} = \frac{\sum_{i=1}^N \mathbb{1}(y_{\text{true},i} \in y_{\text{pred},i})}{N}\]where:
\(N\) is the total number of samples,
\(y_{\text{true},i}\) is the true label for the \(i\)-th sample,
\(y_{\text{pred},i}\) is the predicted label for the \(i\)-th sample,
\(\mathbb{1}(\text{condition})\) is the indicator function that equals 1 if the condition is true and 0 otherwise.
- Parameters:
y_true (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – True values of labels.
y_pred (autointent.metrics.custom_types.LABELS_VALUE_TYPE) – Predicted values of labels.
- Returns:
Score of the regex partial accuracy.
- Return type: