Closed elphick closed 1 month ago
Reopened to explore increased performance by processing each cv case (dataset x estimator) in parallel. There was no benefit, so the optimum is simply leveraging the n_jobs arg for the cv operation. This is particularly true since case run times can vary.
We can speed things up by leveraging the n-jobs argument when calling sklearn's cross_validation.