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

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

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

tf.contrib.distributions.Chi2.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the desired

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

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

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

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

tf.contrib.distributions.Dirichlet.log_prob(value, name='log_prob') Log probability density/mass function (depending on

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.param_static_shapes(cls, sample_shape) param_shapes with static