pymc.distributions.transforms.CholeskyCovPacked#

class pymc.distributions.transforms.CholeskyCovPacked(n)[source]#

Transforms the diagonal elements of the LKJCholeskyCov distribution to be on the log scale

Methods

CholeskyCovPacked.__init__(n)

Parameters:

CholeskyCovPacked.backward(value, *inputs)

Invert the transformation.

CholeskyCovPacked.forward(value, *inputs)

Apply the transformation.

CholeskyCovPacked.log_jac_det(value, *inputs)

Construct the log of the absolute value of the Jacobian determinant.

Attributes

name

ndim_supp