pymc.Triangular.dist#

classmethod Triangular.dist(lower=0, upper=1, c=0.5, *args, **kwargs)[source]#

Create 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.