tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.distribution

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

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

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor

class tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor A StochasticTensor with an observed value.

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

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

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.value()

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.value(name='value')

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.name

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.name

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.mean()

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

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

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