Module classification 

Classification metrics for model evaluation

Provides multi-class classification metrics including:

• Confusion matrix computation
• Per-class precision, recall, F1
• Macro, micro, and weighted averaging
• sklearn-style classification reports

Structs

ConfusionMatrix

Confusion matrix for multi-class classification

MultiClassMetrics

Multi-class classification metrics

Enums

Average

Averaging strategy for multi-class metrics

Functions

classification_report

Generate sklearn-style classification report

confusion_matrix

Compute confusion matrix from predictions and ground truth