WeightedSumFitter.register_rv

WeightedSumFitter.register_rv(rv_var, name, *, observed=None, total_size=None, dims=None, default_transform=UNSET, transform=UNSET, initval=None)

Register an (un)observed random variable with the model.

Parameters:

• rv_var (TensorVariable)

• name (str) – Intended name for the model variable.

• observed (array_like, optional) – Data values for observed variables.

• total_size (scalar) – upscales logp of variable with coef = total_size/var.shape[0]

• dims (tuple) – Dimension names for the variable.

• default_transform – A default transform for the random variable in log-likelihood space.

• transform – Additional transform which may be applied after default transform.

• initval – The initial value of the random variable.

Return type:

TensorVariable