tf.contrib.distributions.Mixture.dtype The DType of Tensors handled by this Distribution

tf.contrib.metrics.streaming_sparse_recall_at_k(*args, **kwargs) Computes recall@k of the predictions with respect to sparse labels

tf.contrib.distributions.Binomial.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

tf.contrib.layers.apply_regularization(regularizer, weights_list=None) Returns the summed penalty by applying regularizer

tf.train.match_filenames_once(pattern, name=None) Save the list of files matching pattern, so it is only computed once.

tf.contrib.training.SequenceQueueingStateSaver.batch_size

tf.contrib.crf.CrfForwardRnnCell.output_size

tf.contrib.graph_editor.SubGraphView.__exit__(exc_type, exc_value, traceback)

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.name