tf.contrib.distributions.TransformedDistribution.log_pmf(value, name='log_pmf') Log probability mass function.

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

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

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

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

tf.contrib.distributions.Distribution.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.ExponentialWithSoftplusLam.lam

tf.contrib.distributions.NormalWithSoftplusSigma.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

tf.contrib.distributions.ExponentialWithSoftplusLam.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Chi2.__init__(df, validate_args=False, allow_nan_stats=True, name='Chi2') Construct Chi2 distributions