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entrenar/eval/classification/
mod.rs

1//! Classification metrics for model evaluation
2//!
3//! Provides multi-class classification metrics including:
4//! - Confusion matrix computation
5//! - Per-class precision, recall, F1
6//! - Macro, micro, and weighted averaging
7//! - sklearn-style classification reports
8
9mod average;
10mod confusion;
11mod metrics;
12mod report;
13
14#[cfg(test)]
15mod basic_tests;
16#[cfg(test)]
17mod sklearn_parity_tests;
18
19// Re-export all public types and functions
20pub use average::Average;
21pub use confusion::ConfusionMatrix;
22pub use metrics::MultiClassMetrics;
23pub use report::{classification_report, confusion_matrix};