tf.contrib.distributions.Binomial.mode(name='mode') Mode. Additional documentation from

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

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

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

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

tf.contrib.distributions.WishartCholesky.cholesky_input_output_matrices Boolean indicating if Tensor input/outputs

tf.contrib.distributions.Multinomial.std(name='std') Standard deviation.

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.batch_shape(name='batch_shape') Shape of a single sample from a single

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