tf.contrib.distributions.Chi2WithAbsDf.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

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

tf.contrib.distributions.Normal.sigma Distribution parameter for standard deviation.

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

tf.contrib.distributions.Bernoulli.is_continuous

tf.contrib.distributions.Laplace.std(name='std') Standard deviation.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.param_static_shapes(cls, sample_shape) param_shapes with static

class tf.contrib.distributions.NormalWithSoftplusSigma Normal with softplus applied to sigma.

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

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