tf.contrib.distributions.Multinomial.get_batch_shape() Shape of a single sample from a single event index as a TensorShape
tf.contrib.distributions.BetaWithSoftplusAB.log_pdf(value, name='log_pdf') Log probability density function.
tf.contrib.distributions.Distribution.variance(name='variance') Variance.
tf.contrib.distributions.MultivariateNormalCholesky.mean(name='mean') Mean.
tf.contrib.distributions.MultivariateNormalDiag.parameters Dictionary of parameters used by this Distribution.
tf.contrib.distributions.Laplace.std(name='std') Standard deviation.
tf.contrib.distributions.MultivariateNormalCholesky.log_prob(value, name='log_prob') Log probability density/mass function (depending
tf.contrib.distributions.WishartCholesky.scale_operator_pd Wishart distribution scale matrix as an OperatorPD.
tf.contrib.distributions.Categorical.entropy(name='entropy') Shanon entropy in nats.
tf.contrib.distributions.NormalWithSoftplusSigma.log_prob(value, name='log_prob') Log probability density/mass function (depending
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