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