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

tf.contrib.distributions.MultivariateNormalFull.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

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

tf.contrib.distributions.MultivariateNormalCholesky.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Chi2.is_reparameterized

tf.contrib.distributions.Binomial.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.Mixture.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

tf.contrib.distributions.InverseGamma.alpha Shape parameter.

tf.contrib.distributions.TransformedDistribution.log_survival_function(value, name='log_survival_function') Log survival function

tf.contrib.distributions.Laplace.log_pdf(value, name='log_pdf') Log probability density function. Args: