tf.contrib.distributions.Chi2WithAbsDf.alpha Shape parameter.
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.get_batch_shape() Shape of a single sample from a single event index as
tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.log_pmf(value, name='log_pmf') Log probability mass function.
tf.contrib.distributions.Gamma.beta Inverse scale parameter.
tf.contrib.distributions.TransformedDistribution.event_shape(name='event_shape') Shape of a single sample from a single batch
tf.contrib.distributions.NormalWithSoftplusSigma.name Name prepended to all ops created by this Distribution.
tf.contrib.distributions.MultivariateNormalDiag.entropy(name='entropy') Shanon entropy in nats.
tf.contrib.distributions.Gamma.survival_function(value, name='survival_function') Survival function. Given
tf.contrib.distributions.BetaWithSoftplusAB.variance(name='variance') Variance.
tf.contrib.distributions.Uniform.log_survival_function(value, name='log_survival_function') Log survival function.
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