tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.validate_args Python boolean indicated possibly expensive checks

tf.contrib.distributions.StudentT.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.crf.viterbi_decode(score, transition_params) Decode the highest scoring sequence of tags outside of TensorFlow.

tf.TextLineReader.reset(name=None) Restore a reader to its initial clean state. Args:

tf.contrib.graph_editor.ControlOutputs.update() Update the control outputs if the graph has changed.

tf.contrib.learn.TensorFlowEstimator.__repr__()

tf.contrib.distributions.Normal.mode(name='mode') Mode.

class tf.contrib.distributions.Exponential The Exponential distribution with rate parameter lam. The

tf.contrib.learn.monitors.LoggingTrainable.epoch_end(epoch) End epoch. Args:

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)