pymc.distributions.transforms.ZeroSumTransform

class pymc.distributions.transforms.ZeroSumTransform(zerosum_axes)

Constrains any random samples to sum to zero along the user-provided zerosum_axes.

Parameters:

zerosum_axeslist of ints

Must be a list of integers (positive or negative).

Methods

ZeroSumTransform.__init__(zerosum_axes)
ZeroSumTransform.backward(value, *rv_inputs)	Invert the transformation.
ZeroSumTransform.extend_axis(array, axis)
ZeroSumTransform.extend_axis_rev(array, axis)
ZeroSumTransform.forward(value, *rv_inputs)	Apply the transformation.
ZeroSumTransform.log_jac_det(value, *rv_inputs)	Construct the log of the absolute value of the Jacobian determinant.

Attributes

name
ndim_supp