tf.contrib.distributions.Chi2.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.is_reparameterized

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

tf.contrib.distributions.LaplaceWithSoftplusScale.pdf(value, name='pdf') Probability density function.

tf.contrib.distributions.Bernoulli.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.DirichletMultinomial.alpha Parameter defining this distribution.

tf.contrib.distributions.InverseGamma.is_continuous

tf.contrib.distributions.ExponentialWithSoftplusLam.prob(value, name='prob') Probability density/mass function (depending on

tf.contrib.distributions.Multinomial.logits Log-odds.