tf.contrib.learn.DNNClassifier.predict(*args, **kwargs) Returns predicted classes for given features. (deprecated arguments)

tf.contrib.distributions.WishartFull.log_prob(value, name='log_prob') Log probability density/mass function (depending on

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

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

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.graph

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

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

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.distribution

tf.contrib.distributions.WishartFull.variance(name='variance') Variance.