tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.allow_nan_stats Python boolean describing behavior when a stat is undefined

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

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

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

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

class tf.contrib.distributions.Exponential The Exponential distribution with rate parameter lam. The

class tf.contrib.distributions.Categorical Categorical distribution. The categorical distribution

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

tf.contrib.distributions.Chi2WithAbsDf.pmf(value, name='pmf') Probability mass function. Args:

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