tfp.distributions.quadrature_scheme_lognormal_quantiles | TensorFlow Probability (original) (raw)
tfp.distributions.quadrature_scheme_lognormal_quantiles
Use LogNormal quantiles to form quadrature on positive-reals.
tfp.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 thelog_rate parameters of a Poisson. |
| probs | (Batch of) length-quadrature_size vectors representing the weight associate with each grid value. |
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Last updated 2023-11-21 UTC.