ott.neural.methods.monge_gap.MongeGapEstimator.fitting_loss

property MongeGapEstimator.fitting_loss: Callable[[Array, Array], float]

Fitting loss to fit the marginal constraint.

Can be, e.g. sinkhorn_divergence(). If no fitting_loss is passed for solver instantiation, return 0 by default, and no log values.