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

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

tf.Session.reset(target, containers=None, config=None) Resets resource containers on target, and close all connected

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

tf.contrib.distributions.Dirichlet.is_reparameterized

tf.contrib.distributions.Exponential.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.InverseGamma.validate_args Python boolean indicated possibly expensive checks are enabled.

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

tf.contrib.distributions.Exponential.__init__(lam, validate_args=False, allow_nan_stats=True, name='Exponential') Construct Exponential

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.clone(name=None, **dist_args)