Function smartcore::metrics::homogeneity_score

pub fn homogeneity_score<T: Number + FloatNumber + RealNumber + Ord, V: ArrayView1<T> + Array1<T>>(
    y_true: &V,
    y_pred: &V
) -> f64

Homogeneity metric of a cluster labeling given a ground truth (range is between 0.0 and 1.0). A cluster result satisfies homogeneity if all of its clusters contain only data points which are members of a single class.

• labels_true - ground truth class labels to be used as a reference.
• labels_pred - cluster labels to evaluate.