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

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

tf.contrib.distributions.MultivariateNormalDiag.log_prob(value, name='log_prob') Log probability density/mass function (depending

tf.contrib.distributions.Exponential.alpha Shape parameter.

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

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

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

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

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

tf.contrib.distributions.NormalWithSoftplusSigma.mode(name='mode') Mode.