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

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

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes

tf.contrib.distributions.Chi2WithAbsDf.is_reparameterized

tf.contrib.distributions.StudentT.mode(name='mode') Mode.

tf.contrib.distributions.Multinomial.logits Log-odds.

tf.contrib.bayesflow.stochastic_tensor.value_type(dist_value_type) Creates a value type context for any StochasticTensor created

tf.contrib.distributions.ExponentialWithSoftplusLam.pdf(value, name='pdf') Probability density function.

tf.contrib.distributions.Categorical.pmf(value, name='pmf') Probability mass function. Args: