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

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

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

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

tf.contrib.distributions.Mixture.dtype The DType of Tensors handled by this Distribution

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.std(name='std') Standard deviation.

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.event_shape(name='event_shape') Shape of a single sample from

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