Loss

Todo

Fill overview page

zfit.loss.ExtendedUnbinnedNLL(model, data[, …])	An Unbinned Negative Log Likelihood with an additional poisson term for the
zfit.loss.UnbinnedNLL(model, data[, …])	The Unbinned Negative Log Likelihood.
zfit.loss.BaseLoss(model, data[, fit_range, …])	A “simultaneous fit” can be performed by giving one or more model, data, fit_range to the loss.
zfit.loss.SimpleLoss(func[, deps, …])	Loss from a (function returning a) Tensor.
zfit.loss.experimental_enable_loss_penalty([…])	EXPERIMENTAL! Enable a loss penalty if the loss is NaN, which can push back the minimizer.

SumFunc ExtendedUnbinnedNLL