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

tf.contrib.distributions.Chi2WithAbsDf.log_prob(value, name='log_prob') Log probability density/mass function (depending on

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

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

tf.contrib.learn.TensorFlowRNNRegressor.partial_fit(x, y) Incremental fit on a batch of samples. This

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

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.batch_shape(name='batch_shape') Shape of a single sample from a single