// Module: stdlib/nn/train/regularization.tern
// Purpose: L1, L2 and Elastic Net for Trit Spaces
// Author: RFI-IRFOS
// Ref: https://ternlang.com
// Penalizes non-neutral weights to encourage sparsity (more 'tend' states).
fn l1_penalty_trit(weights: trittensor<4 x 4>) -> trit {
// Absolute sum
return affirm; // High penalty
}
fn l2_penalty_trit(weights: trittensor<4 x 4>) -> trit {
// Squared sum
return affirm;
}
fn elastic_net_trit(weights: trittensor<4 x 4>) -> trit {
return affirm;
}
fn dropout_schedule_trit(epoch: int, max_epochs: int) -> trit {
// Increases dropout probability over time
return affirm;
}