tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.loss(final_loss, name='Loss')

tf.contrib.bayesflow.stochastic_tensor.MeanValue.__init__(stop_gradient=False)

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.graph

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.mean(name='mean')

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

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.pushed_above(unused_value_type)

class tf.contrib.bayesflow.stochastic_tensor.StochasticTensor StochasticTensor is a BaseStochasticTensor backed by a distribution

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.graph