tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.mean(name='mean')

tf.contrib.learn.monitors.StopAtStep.step_begin(step)

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

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

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

tf.contrib.rnn.CoupledInputForgetGateLSTMCell.output_size

tf.contrib.rnn.LSTMBlockCell.output_size

tf.contrib.learn.DNNClassifier.evaluate(x=None, y=None, input_fn=None, feed_fn=None, batch_size=None, steps=None, metrics=None, name=None) See evaluable.Evaluable.

tf.contrib.rnn.LSTMBlockCell.state_size

tf.contrib.rnn.LSTMBlockCell.__call__(x, states_prev, scope=None) Long short-term memory cell (LSTM).