tf.contrib.distributions.Categorical.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32
tf.contrib.distributions.NormalWithSoftplusSigma.log_pdf(value, name='log_pdf') Log probability density function.
tf.contrib.distributions.BetaWithSoftplusAB.std(name='std') Standard deviation.
tf.contrib.distributions.Chi2.beta Inverse scale parameter.
tf.contrib.distributions.Poisson.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given
tf.contrib.distributions.Distribution.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.log_survival_function(value, name='log_survival_function') Log survival
tf.contrib.distributions.BetaWithSoftplusAB.pmf(value, name='pmf') Probability mass function. Args:
tf.contrib.distributions.QuantizedDistribution.entropy(name='entropy') Shanon entropy in nats.
tf.contrib.distributions.Mixture.components
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