Where a new candidate has the fingerprint vector x * , k is the covariance vector between a new data point and the training data set, K is the covariance, or Gram, matrix for the training data and λ is the regularization hyperparameter. In order to progress the search as efficiently as possible, the cumulative distribution function (cdf), as in Equation , is used as the fitness of a candidate.