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

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.Chi2Tensor.loss(final_loss, name='Loss')

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.name

tf.contrib.bayesflow.stochastic_tensor.get_current_value_type()

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.value_type

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

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.input_dict

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.dtype