tf.contrib.bayesflow.stochastic_tensor.StudentTWithAbsDfSoftplusSigmaTensor.distribution

tf.contrib.training.bucket(tensors, which_bucket, batch_size, num_buckets, num_threads=1, capacity=32, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False

tf.contrib.distributions.Distribution.is_continuous

tf.TFRecordReader.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader

tf.IdentityReader.reader_ref Op that implements the reader.

tf.contrib.training.NextQueuedSequenceBatch.__init__(state_saver)

tf.contrib.rnn.TimeFreqLSTMCell.output_size

tf.contrib.metrics.streaming_sensitivity_at_specificity(predictions, labels, specificity, weights=None, num_thresholds=200, metrics_collections=None, updates_collections=None

tf.contrib.learn.DNNClassifier.predict(*args, **kwargs) Returns predicted classes for given features. (deprecated arguments)

tf.contrib.distributions.Binomial.mode(name='mode') Mode. Additional documentation from