Use LogNormal quantiles to form quadrature on positive-reals.
tfp.substrates.jax.distributions.quadrature_scheme_lognormal_quantiles(
loc, scale, quadrature_size, validate_args=False, name=None
)
Args |
loc
|
float -like (batch of) scalar Tensor ; the location parameter of
the LogNormal prior.
|
scale
|
float -like (batch of) scalar Tensor ; the scale parameter of
the LogNormal prior.
|
quadrature_size
|
Python int scalar representing the number of quadrature
points.
|
validate_args
|
Python bool , default False . When True distribution
parameters are checked for validity despite possibly degrading runtime
performance. When False invalid inputs may silently render incorrect
outputs.
|
name
|
Python str name prefixed to Ops created by this class.
|
Returns |
grid
|
(Batch of) length-quadrature_size vectors representing the
log_rate parameters of a Poisson .
|
probs
|
(Batch of) length-quadrature_size vectors representing the
weight associate with each grid value.
|