tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.__init__(dist_cls, value, name=None, **dist_args) Construct an

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.graph

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.value_type