ytm.guided.backends.act_loss.SCE#
- class ytm.guided.backends.act_loss.SCE(alpha: float = 1.0, beta: float = 1.0, eps: float = 1e-4, eps_hat: float = 1e-7)#
Bases:
ActLossSoftmax with symmetric cross-entropy (cross-entropy plus reverse cross-entropy), for noisy labels.
- Parameters:
- alphafloat, default=1.0
Weight of the cross-entropy term, must be >= 0.
- betafloat, default=1.0
Weight of the reverse cross-entropy term, must be >= 0.
- epsfloat, default=1e-4
Added to the targets inside the reverse term’s log, must be > 0.
- eps_hatfloat, default=1e-7
Added to the predictions inside the cross-entropy log, must be > 0.