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

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

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.distribution

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

class tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor BernoulliWithSigmoidPTensor is a StochasticTensor backed by the distribution BernoulliWithSigmoidP.

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