L1

Loss variant computing the mean absolute error between the model output and the targets. It penalizes errors linearly, making it less sensitive to outliers than the squared error. Compatible with the regression policy.

Configuration

Selected as name: l1.

Option	Description	Type	Default
reduction	How per-sample losses are reduced.	mean | sum	mean

components:
  loss:
    name: l1
    kwargs: {}