tf.contrib.learn.monitors.CaptureVariable.set_estimator(estimator) A setter called automatically by the target estimator.

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.input_dict

tf.contrib.distributions.LaplaceWithSoftplusScale.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.BetaWithSoftplusAB.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Binomial.parameters Dictionary of parameters used by this Distribution.

tf.edit_distance(hypothesis, truth, normalize=True, name='edit_distance') Computes the Levenshtein distance between sequences

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.name