tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.batch_shape(name='batch_shape') Shape of a single sample from a single

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

tf.contrib.distributions.Mixture.variance(name='variance') Variance.

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

tf.contrib.distributions.Exponential.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

tf.contrib.distributions.Dirichlet.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

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

tf.contrib.distributions.Beta.log_survival_function(value, name='log_survival_function') Log survival function.

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