tf.contrib.distributions.Multinomial.is_continuous

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.name

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.input_dict

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

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

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

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

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.value_type

tf.contrib.distributions.BernoulliWithSigmoidP.is_reparameterized