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

Global functions
abc_optimize Man page Source code
activation_derivative Man page Source code
activation_leaky_relu Man page Source code
activation_linear Man page Source code
activation_relu Man page Source code
activation_sigmoid Man page Source code
activation_softmax Man page Source code
activation_tanh Man page Source code
as_activation Man page Source code
as_loss Man page Source code
as_metric Man page Source code
as_metrics Man page Source code
as_optimizer Man page Source code
available_activations Man page Source code
available_gradient_optimizers Man page Source code
available_losses Man page Source code
available_metaheuristics Man page Source code
available_metrics Man page Source code
available_optimizers Man page Source code
classification_loss_value Man page Source code
classification_metric_values Man page Source code
coef.met_optimize_result Man page Source code
coef.metann Man page Source code
compute_metric_values Man page Source code
count_parameters Man page Source code
de_optimize Man page Source code
decode_classification_prediction Man page Source code
decode_weights Man page Source code
dense_layer Man page Source code
detect_task Man page Source code
encode_classification_response Man page Source code
evaluate Man page Source code
forward_pass Man page Source code
ga_optimize Man page Source code
gradient_optimize Man page Source code
gwo_optimize Man page Source code
initialize_weights Man page Source code
is_activation Man page Source code
is_architecture Man page Source code
is_dense_layer Man page Source code
is_layer Man page Source code
is_loss Man page Source code
is_metric Man page Source code
is_mlp_architecture Man page Source code
is_optimizer Man page Source code
levy_flight Man page Source code
loss_binary_crossentropy Man page Source code
loss_crossentropy Man page Source code
loss_huber Man page Source code
loss_log_cosh Man page Source code
loss_mae Man page Source code
loss_mse Man page Source code
met_mlp Man page Source code
met_optimize Man page Source code
metann Man page Source code
metric_accuracy Man page Source code
metric_f1 Man page Source code
metric_mae Man page Source code
metric_mse Man page Source code
metric_precision Man page Source code
metric_r2 Man page Source code
metric_recall Man page Source code
metric_rmse Man page Source code
mlp_architecture Man page Source code
mlp_binary_crossentropy_gradient Man page Source code
mlp_crossentropy_gradient Man page Source code
mlp_forward_cache Man page Source code
mlp_mse_gradient Man page Source code
new_activation Man page Source code
new_loss Man page Source code
new_metric Man page Source code
new_optimizer Man page Source code
optimizer_abc Man page Source code
optimizer_adam Man page Source code
optimizer_de Man page Source code
optimizer_ga Man page Source code
optimizer_gwo Man page Source code
optimizer_hybrid Man page Source code
optimizer_info Man page Source code
optimizer_pso Man page Source code
optimizer_sboa Man page Source code
optimizer_sgd Man page Source code
optimizer_tlbo Man page Source code
optimizer_woa Man page Source code
plot.met_optimize_result Man page Source code
plot.metann Man page Source code
plot_network Man page Source code
predict.metann Man page Source code
print.met_dense_layer Man page Source code
print.met_mlp_architecture Man page Source code
print.met_optimize_result Man page Source code
print.met_optimizer Man page Source code
print.met_optimizer_info Man page Source code
print.metann Man page Source code
print.metann_evaluation Man page Source code
pso_optimize Man page Source code
sboa_optimize Man page Source code
summary.met_optimize_result Man page Source code
summary.metann Man page Source code
tlbo_optimize Man page Source code
train_mlp_gradient Man page Source code
woa_optimize Man page Source code
metANN documentation built on May 16, 2026, 1:06 a.m.