tf.contrib.distributions.Beta.cdf(value, name='cdf') Cumulative distribution function. Given random
tf.contrib.distributions.Gamma.mode(name='mode') Mode. Additional documentation from Gamma:
tf.contrib.distributions.Categorical.validate_args Python boolean indicated possibly expensive checks are enabled.
tf.contrib.distributions.Bernoulli.sample_n(n, seed=None, name='sample_n') Generate n samples.
tf.contrib.distributions.QuantizedDistribution.is_continuous
tf.contrib.distributions.BetaWithSoftplusAB.log_cdf(value, name='log_cdf') Log cumulative distribution function.
tf.contrib.distributions.MultivariateNormalDiag.survival_function(value, name='survival_function') Survival function.
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.validate_args Python boolean indicated possibly expensive checks are enabled
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mode(name='mode') Mode.
tf.contrib.distributions.Categorical.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32
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