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

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.graph

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.entropy(name='entropy')

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.distribution

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

class tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor DirichletMultinomialTensor is a StochasticTensor backed by the distribution DirichletMultinomial.

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.value_type