autointent.metrics.regex.regex_partial_precision#

autointent.metrics.regex.regex_partial_precision(y_true, y_pred)#

Calculate regex partial precision.

The regex partial precision is calculated as:

$$\text{Partial Precision}=\frac{\sum _{i=1}^N\mathbb{1}(y_{\text{true},i}\in y_{\text{pred},i})}{\sum _{i=1}^N\mathbb{1}(|y_{\text{pred},i}|>0)}$$

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,

• $|y_{\text{pred},i}|$ is the number of predicted labels 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 precision.

Return type:

float