tf.contrib.learn.monitors.EveryN.every_n_step_end(step, outputs) Callback after every n'th step finished. This

tf.contrib.learn.LinearClassifier.get_estimator()

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

tf.nn.rnn_cell.RNNCell.state_size size(s) of state(s) used by this cell. It can be represented

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

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

tf.contrib.graph_editor.ControlOutputs.get_all()

tf.contrib.distributions.Distribution.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.Binomial.pmf(value, name='pmf') Probability mass function. Args:

tf.sparse_segment_sqrt_n(data, indices, segment_ids, name=None) Computes the sum along sparse segments of a tensor divided by