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

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

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

tf.contrib.bayesflow.stochastic_tensor.SampleValue.popped_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.value_type

tf.SparseTensor.__str__()

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