entrenar 0.7.9

Training & Optimization library with autograd, LoRA, quantization, and model merging
Documentation 
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//! Averaging strategies for multi-class metrics

/// Averaging strategy for multi-class metrics
#[derive(Clone, Copy, Debug, PartialEq, Eq, Hash)]
pub enum Average {
    /// Calculate metrics for each label, return unweighted mean
    Macro,
    /// Calculate metrics globally by counting total TP, FP, FN
    Micro,
    /// Weighted mean by support (number of true instances per label)
    Weighted,
    /// Return metrics per class (no averaging) - used internally
    None,
}