tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.dtype
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalCholeskyTensor.name
tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.loss(final_loss, name='Loss')
tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.value_type
tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.clone(name=None, **dist_args)
tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.entropy(name='entropy')
tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.loss(final_loss, name='Loss')
class tf.contrib.bayesflow.stochastic_tensor.DirichletTensor DirichletTensor is a StochasticTensor backed
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