tf.contrib.distributions.Mixture.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix

tf.contrib.distributions.Bernoulli.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.distributions.MultivariateNormalDiag.batch_shape(name='batch_shape') Shape of a single sample from a single event index

tf.contrib.distributions.WishartCholesky.is_reparameterized

tf.contrib.distributions.WishartCholesky.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

tf.contrib.distributions.WishartCholesky.scale() Wishart distribution scale matrix.

tf.contrib.distributions.TransformedDistribution.std(name='std') Standard deviation.

tf.contrib.distributions.TransformedDistribution.validate_args Python boolean indicated possibly expensive checks are enabled

tf.contrib.distributions.Multinomial.sample_n(n, seed=None, name='sample_n') Generate n samples.