tfp.substrates.numpy.distributions.quadrature_scheme_lognormal_quantiles

Use LogNormal quantiles to form quadrature on positive-reals.

Main aliases

tfp.substrates.numpy.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.

Args