pymc.distributions.transforms.Ordered

class pymc.distributions.transforms.Ordered(positive=False, ascending=True)

Transforms a vector of values into a vector of ordered values.

Parameters:

positive: If True, all values are positive. This has better geometry than just chaining with a log transform.

ascending: If True, the values are in ascending order (default). If False, the values are in descending order.

Methods

Ordered.__init__([positive, ascending])
Ordered.backward(value, *inputs)	Invert the transformation.
Ordered.forward(value, *inputs)	Apply the transformation.
Ordered.log_jac_det(value, *inputs)	Construct the log of the absolute value of the Jacobian determinant.

Attributes

name
ndim_supp