tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.loss(final_loss, name=None)
tf.contrib.bayesflow.stochastic_tensor.GammaTensor.graph
tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.entropy(name='entropy')
class tf.contrib.bayesflow.stochastic_tensor.NormalTensor NormalTensor is a StochasticTensor backed
tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.input_dict
tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.input_dict
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