8f8d6d48c60407fcd741eaa18199b71a3ac7a381,skopt/searchcv.py,BayesSearchCV,fit,#BayesSearchCV#,554

Before Change

        if n_jobs < 0:
            n_jobs = max(1, cpu_count() + n_jobs + 1)

        for space_id in range(len(self.search_spaces_)):
            elem = self.search_spaces_[space_id]

            // if not provided with search subspace, n_iter is taken as
            // self.n_iter
            if isinstance(elem, tuple):
                space, n_iter = elem
            else:
                n_iter = self.n_iter

            // do the optimization for particular search space
            while n_iter > 0:
                // when n_iter < n_jobs points left for evaluation
                n_jobs_adjusted = min(n_iter, n_jobs)

                self._step(
                    X, y, space_id,
                    groups=groups, n_jobs=n_jobs_adjusted
                )
                n_iter -= n_jobs

        // fit the best model if necessary
        if self.refit:
            self._fit_best_model(X, y)

        return self

After Change

        if n_jobs < 0:
            n_jobs = max(1, cpu_count() + n_jobs + 1)

        for search_space, optimizer in zip(search_spaces, optimizers):
            // if not provided with search subspace, n_iter is taken as
            // self.n_iter

Instances