rustyml 0.17.0

Machine learning models, neural networks, metrics, and data utilities in Rust
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//! Classification, clustering, and regression metric exports.
//!
//! The exports include confusion matrices, score functions, and binary threshold curves.

pub use crate::metrics::{
    Average, ConfusionMatrix, MulticlassConfusionMatrix, accuracy, adjusted_mutual_info,
    adjusted_rand_index, average_precision, calinski_harabasz_score, cohen_kappa,
    completeness_score, davies_bouldin_score, explained_variance_score, fowlkes_mallows_score,
    homogeneity_score, log_loss, mean_absolute_error, mean_absolute_percentage_error,
    mean_squared_error, median_absolute_error, normalized_mutual_info, precision_recall_curve,
    r2_score, roc_auc, roc_curve, root_mean_squared_error, silhouette_score, top_k_accuracy,
    v_measure_score,
};