tf.contrib.distributions.Exponential.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

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

tf.contrib.distributions.Chi2WithAbsDf.alpha Shape parameter.

tf.contrib.distributions.Mixture.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.allow_nan_stats Python boolean describing behavior when a stat

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample(sample_shape=(), seed=None, name='sample') Generate samples

tf.contrib.distributions.Gamma.log_survival_function(value, name='log_survival_function') Log survival function.

tf.contrib.distributions.MultivariateNormalDiag.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified