tf.contrib.distributions.Beta.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.Distribution.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

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

tf.contrib.distributions.MultivariateNormalCholesky.sigma Dense (batch) covariance matrix, if available.

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

tf.contrib.distributions.Beta.log_pdf(value, name='log_pdf') Log probability density function. Args:

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

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

class tf.contrib.distributions.Multinomial Multinomial distribution. This distribution is parameterized

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