tf.contrib.distributions.MultivariateNormalCholesky.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.contrib.distributions.Chi2WithAbsDf.variance(name='variance') Variance.

tf.contrib.distributions.Dirichlet.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes.

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

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

tf.contrib.distributions.Categorical.variance(name='variance') Variance.

tf.contrib.distributions.WishartFull.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

class tf.contrib.distributions.Poisson Poisson distribution. The Poisson distribution is parameterized

tf.contrib.distributions.Multinomial.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.Exponential.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given