autointent.metrics.regexp.regexp_partial_accuracy#

autointent.metrics.regexp.regexp_partial_accuracy(y_true, y_pred)#

Calculate regexp partial accuracy.

The regexp 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 regexp metric

Return type:

float