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