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

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

tf.contrib.distributions.Categorical.entropy(name='entropy') Shanon entropy in nats.

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

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

tf.contrib.distributions.Bernoulli.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.ExponentialWithSoftplusLam.event_shape(name='event_shape') Shape of a single sample from a single batch

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

class tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev MultivariateNormalDiag with diag_stddev = softpl

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