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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mean(name='mean') Mean.

tf.nn.rnn_cell.BasicLSTMCell.state_size

tf.contrib.distributions.LaplaceWithSoftplusScale.parameters Dictionary of parameters used by this Distribution.

class tf.contrib.distributions.Categorical Categorical distribution. The categorical distribution

tf.WholeFileReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

void tensorflow::EnvWrapper::SleepForMicroseconds(int64 micros) override Sleeps/delays the thread for the prescribed number of

tf.contrib.framework.get_graph_from_inputs(op_input_list, graph=None) Returns the appropriate graph to use for the given inputs

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

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