tfp.experimental.distributions.log_prob_ratio
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Computes p.log_prob(x) - q.log_prob(y)
, numerically stably.
tfp.experimental.distributions.log_prob_ratio(
p, x, q, y, name=None, **kwargs
)
Args |
p
|
A distribution instance.
|
x
|
A tensor from the support of p .
|
q
|
A distribution instance in the same family as p , with matching shape.
|
y
|
A tensor from the support of q .
|
name
|
Optional name for ops in this scope.
|
**kwargs
|
Passed to the distribution's log_prob_ratio implementation.
|
Returns |
lp_ratio
|
log (p(x) / q(y)) = p.log_prob(x) - q.log_prob(y) . In some cases
this will be computed with better than naive numerical precision, e.g. by
moving the difference inside of a sum reduction.
|
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Last updated 2023-11-21 UTC.
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