train_mlp_gradient: Train an MLP with a Gradient-Based Optimizer

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

Train an MLP with a Gradient-Based Optimizer

Description

Internal gradient-based training engine for MLP regression and classification.

Usage

train_mlp_gradient(
  x,
  y,
  architecture,
  optimizer,
  loss,
  seed = NULL,
  verbose = TRUE
)

Arguments

x	Numeric input matrix.
y	Response vector or matrix used for training.
architecture	MLP architecture object.
optimizer	Gradient-based optimizer object.
loss	Loss object.
seed	Optional random seed.
verbose	Logical. If TRUE, training progress is printed.

Value

An object compatible with "met_optimize_result".

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