pymc.Simulator.dist

classmethod Simulator.dist(fn, *unnamed_params, params=None, distance='gaussian', sum_stat='identity', epsilon=1, ndim_supp=0, ndims_params=None, dtype='floatX', class_name='Simulator', **kwargs)

Creates a tensor variable corresponding to the cls distribution.

Parameters:

dist_paramsarray_like

The inputs to the RandomVariable Op.

shapeint, tuple, Variable, optional

A tuple of sizes for each dimension of the new RV.

**kwargs

Keyword arguments that will be forwarded to the PyTensor RV Op. Most prominently: size or dtype.

Returns:

rvTensorVariable

The created random variable tensor.