//! Evaluation utilities and visualizations for model performance
//!
//! This module provides visualization and evaluation tools for neural networks,
//! including confusion matrices, ROC curves, learning curves, and feature importance.
//! These tools help visualize and analyze model performance and training metrics.
pub use ConfusionMatrix;
pub use FeatureImportance;
pub use LearningCurve;
pub use ROCCurve;
// Helper functions are kept internal to the module