torch.distributions.transforms.LowerCholeskyTransform Class Reference

Inheritance diagram for torch.distributions.transforms.LowerCholeskyTransform:

Public Member Functions
def	__eq__ (self, other)
Public Member Functions inherited from torch.distributions.transforms.Transform
def	__init__ (self, cache_size=0)
def	inv (self)
def	sign (self)
def	__eq__ (self, other)
def	__ne__ (self, other)
def	__call__ (self, x)
def	log_abs_det_jacobian (self, x, y)
def	__repr__ (self)

Static Public Attributes
	domain
	codomain
	event_dim
Static Public Attributes inherited from torch.distributions.transforms.Transform
	bijective
	event_dim

Detailed Description

Transform from unconstrained matrices to lower-triangular matrices with
nonnegative diagonal entries.

This is useful for parameterizing positive definite matrices in terms of
their Cholesky factorization.

Definition at line 515 of file transforms.py.

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The documentation for this class was generated from the following file:

• torch/distributions/transforms.py