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

tf.contrib.distributions.Mixture.pdf(value, name='pdf') Probability density function. Args:

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.distributions.Chi2.mean(name='mean') Mean.

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

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