pub fn zero_one_loss_sklearn( y_true: &Array1<i32>, y_pred: &Array1<i32>, normalize: bool, sample_weight: Option<&Array1<f64>>, ) -> Result<f64>
Equivalent to sklearn.metrics.zero_one_loss