tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.loss()

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

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.graph

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.graph

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.entropy()

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

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.clone()

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

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor

class tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor QuantizedDistributionTensor is a StochasticTensor backed by the distribution QuantizedDistribution.

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.__init__()

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

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.value_type