tf.contrib.distributions.Exponential.is_continuous

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.parameters Dictionary of parameters used by this Distribution

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sigma Dense (batch) covariance matrix, if available.

tf.contrib.distributions.WishartCholesky.allow_nan_stats Python boolean describing behavior when a stat is undefined.

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

tf.contrib.distributions.Mixture.num_components

tf.contrib.distributions.StudentT.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

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

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