tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.clone(name=None, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.distribution

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

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.value_type

tf.contrib.learn.Estimator.get_variable_value(name) Returns value of the variable given by name. Args:

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.value(name='value')

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.input_dict

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_reparameterized

tf.contrib.distributions.ExponentialWithSoftplusLam.is_continuous

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