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

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

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

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

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

tf.contrib.distributions.Normal.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.WishartFull.dimension Dimension of underlying vector space. The p in R^(p*p)

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

tf.contrib.distributions.QuantizedDistribution.validate_args Python boolean indicated possibly expensive checks are enabled.

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