ParetoNBDRV.make_node#

ParetoNBDRV.make_node(rng, size, dtype, r, alpha, s, beta, T)[source]#

Create a random variable node.

Parameters:

rng (RandomGeneratorType or RandomStateType) – Existing PyTensor Generator or RandomState object to be used. Creates a new one, if None.
size (int or Sequence) – NumPy-like size parameter.
dtype (str) – The dtype of the sampled output. If the value "floatX" is given, then dtype is set to pytensor.config.floatX. This value is only used when self.dtype isn’t set.
dist_params (list) – Distribution parameters.
Results
-------
out (Apply) – A node with inputs (rng, size, dtype) + dist_args and outputs (rng_var, out_var).