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 | |
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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 | |
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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. |
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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