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

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

class tf.contrib.distributions.InverseGamma The InverseGamma distribution with parameter alpha and beta.

tf.contrib.distributions.BetaWithSoftplusAB.a_b_sum Sum of parameters.

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

tf.contrib.distributions.Mixture.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.BernoulliWithSigmoidP.is_reparameterized

tf.contrib.distributions.Uniform.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

tf.contrib.distributions.MultivariateNormalDiag.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.Multinomial.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given