tf.contrib.distributions.Exponential.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

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

tf.contrib.learn.monitors.ValidationMonitor.early_stopped Returns True if this monitor caused an early stop.

tf.contrib.learn.monitors.CaptureVariable.post_step(step, session)

tf.contrib.distributions.Categorical.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.learn.TensorFlowRNNClassifier.set_params(**params) Set the parameters of this estimator. The

tf.contrib.learn.monitors.PrintTensor.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.graph_editor.SubGraphView.is_passthrough(t) Check whether a tensor is passthrough.

tf.contrib.distributions.MultivariateNormalFull.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix.

tf.contrib.learn.monitors.RunHookAdapterForMonitors.before_run(run_context)