rustyml 0.12.0

A high-performance machine learning & deep learning library in pure Rust, offering ML algorithms and neural network support
Documentation 
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//! Prelude re-exports for evaluation metrics

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,
};