class tf.contrib.distributions.Gamma The Gamma distribution with parameter alpha and beta. The

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

tf.contrib.distributions.Multinomial.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

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

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.alpha Shape parameter.

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

tf.contrib.distributions.Categorical.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

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

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