tf.contrib.distributions.quadrature_scheme_lognormal_quantiles
Use LogNormal quantiles to form quadrature on positive-reals. (deprecated)
tf.contrib.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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/contrib/distributions/quadrature_scheme_lognormal_quantiles