# Hinge Loss The `hng_loss` function calculates the Hinge loss, which is a loss function used for classification problems in machine learning. ## Formula For a pair of actual and predicted values, represented as vectors `y_true` and `y_pred`, the Hinge loss is calculated as: - loss = `max(0, 1 - y_true * y_pred)`. It returns the average loss by dividing the `total_loss` by total no. of elemen
(y_true: &[f64], y_pred: &[f64])