tf.contrib.distributions.GammaWithSoftplusAlphaBeta.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

tf.contrib.distributions.Poisson.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.MultivariateNormalCholesky.log_survival_function(value, name='log_survival_function') Log survival function

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.param_static_shapes(cls, sample_shape) param_shapes with static (i.e.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mu Locations of these Student's t distribution(s).

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

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

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

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.dtype

tf.contrib.training.SequenceQueueingStateSaver.next_batch The NextQueuedSequenceBatch providing access to batched