tf.contrib.distributions.Binomial.pmf(value, name='pmf') Probability mass function. Args:

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

class tf.contrib.distributions.Uniform Uniform distribution with a and b parameters.

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

tf.contrib.distributions.MultivariateNormalCholesky.prob(value, name='prob') Probability density/mass function (depending on

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

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes

tf.contrib.distributions.Chi2WithAbsDf.is_reparameterized

tf.contrib.distributions.StudentT.mode(name='mode') Mode.