tf.contrib.distributions.Chi2.dtype The DType of Tensors handled by this Distribution.

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

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

tf.contrib.distributions.MultivariateNormalCholesky.pmf(value, name='pmf') Probability mass function.

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

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

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

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.variance(name='variance') Variance.

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