classification_loss_value: Classification Loss Value

In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems

Classification Loss Value

Description

Internal helper for computing binary or multi-class classification loss.

Usage

classification_loss_value(y_true, y_pred, classification_type, epsilon = 1e-15)

Arguments

y_true	Encoded true response.
y_pred	Predicted probabilities.
classification_type	Either "binary" or "multiclass".
epsilon	Small value used for numerical stability.

Value

A single numeric loss value.

metANN documentation built on May 16, 2026, 1:06 a.m.