MichaelisMentenSaturation.sample_prior#

MichaelisMentenSaturation.sample_prior(coords=None, **sample_prior_predictive_kwargs)[source]#

Sample the priors for the transformation.

Parameters:
coordsdict, optional

The coordinates for the associated with dims

**sample_prior_predictive_kwargs

Keyword arguments for the pm.sample_prior_predictive function.

Returns:
xr.Dataset

The dataset with the sampled priors.

Notes

Parameters supplied as constant tensors (instead of a Prior) are not random variables, so pm.sample_prior_predictive has nothing to sample. They are wrapped in a pm.DiracDelta so their constant value is returned for every draw (related to #1749).