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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mu

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

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

class tf.contrib.distributions.BernoulliWithSigmoidP Bernoulli with p = sigmoid(p).

tf.contrib.distributions.Exponential.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.WishartCholesky.mean(name='mean') Mean.

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

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

tf.contrib.distributions.Mixture.components