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

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

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

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

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

tf.contrib.distributions.QuantizedDistribution.name Name prepended to all ops created by this Distribution.

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

tf.contrib.distributions.Gamma.get_event_shape() Shape of a single sample from a single batch as a TensorShape.

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

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