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.Binomial.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

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

tf.contrib.distributions.NormalWithSoftplusSigma.cdf(value, name='cdf') Cumulative distribution function. Given

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

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

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

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

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