NormalInverseWishartPrior._label#

NormalInverseWishartPrior._label()[source]#

Short description for summary tables and comparison rows.

niw(l1=..., l3=..., l4=...) in %g format; there is no l2 because it is pinned, and no l5 because dummy content is a separate component whose own label is joined with +. It is the prior_label of every result fitted under this prior and the source of its marginal-likelihood record.

Return type:

str

Returns:

The label.

Example

>>> NormalInverseWishartPrior()._label()
'niw(l1=0.2, l3=1, l4=100)'
>>> (NormalInverseWishartPrior() + SumOfCoefficientsPrior())._label()
'niw(l1=0.2, l3=1, l4=100) + soc(1)'