tf.contrib.distributions.Normal.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.BaseDistribution.sample_n(n, seed=None, name='sample') Generate n samples.

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

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

tf.contrib.graph_editor.transform_op_if_inside_handler(info, op, keep_if_possible=True) Transform an optional op only if it is

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

tf.contrib.distributions.Mixture.cdf(value, name='cdf') Cumulative distribution function. Given

tf.OpError.__str__()

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.entropy(name='entropy')

tf.contrib.distributions.TransformedDistribution.is_continuous