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Create a random variable for LogitNormal.
tfp.edward2.LogitNormal( *args, **kwargs )
See LogitNormal for more details.
Original Docstring for Distribution
Construct a logit-normal distribution.
The LogititNormal distribution models positive-valued random variables whose
logit (i.e., sigmoid_inverse, i.e.,
log(p) - log1p(-p)) is normally
distributed with mean
loc and standard deviation
scale. It is
constructed as the sigmoid transformation, (i.e.,
1 / (1 + exp(-x))) of a
Tensor; the mean of the underlying Normal distribution(s). Must broadcast with
Tensor; the stddev of the underlying Normal distribution(s). Must broadcast with
False. Whether to validate input with asserts. If
False, and the inputs are invalid, correct behavior is not guaranteed.
False, raise an exception if a statistic (e.g. mean/mode/etc...) is undefined for any batch member If
True, batch members with valid parameters leading to undefined statistics will return NaN for this statistic.
name: The name to give Ops created by the initializer.