tf.contrib.distributions.MultivariateNormalDiag.pdf(value, name='pdf') Probability density function. Args:

tf.ReaderBase.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader.

tf.contrib.distributions.QuantizedDistribution.prob(value, name='prob') Probability density/mass function (depending on

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

class tf.RandomShuffleQueue A queue implementation that dequeues elements in a random order. See

tf.nn.rnn_cell.OutputProjectionWrapper.zero_state(batch_size, dtype) Return zero-filled state tensor(s).

tf.contrib.distributions.Chi2WithAbsDf.mean(name='mean') Mean.

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

class tf.contrib.distributions.MultivariateNormalDiagPlusVDVT The multivariate normal distribution on R^k.

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