f39a564d9ff2fb19d7ffe2366729f9b877cb37f3,tpot/base.py,TPOTBase,_evaluate_individuals,#TPOTBase#Any#Any#Any#Any#,602

Before Change

        // parallel computing in evaluation of pipeline
        if not sys.platform.startswith("win"):
            pool = Pool(processes=self.n_jobs)
            resulting_score_list = pool.map(partial_cross_val_score, sklearn_pipeline_list)
        else:
            resulting_score_list = map(partial_cross_val_score, sklearn_pipeline_list)

        for resulting_score, operator_count, individual_str, test_idx in zip(resulting_score_list, operator_count_list, eval_individuals_str, test_idx_list):

After Change

        // parallel computing in evaluation of pipeline
        if not sys.platform.startswith("win"):
            parallel = Parallel(n_jobs=self.n_jobs)
            resulting_score_list = parallel(delayed(self._wrapped_cross_val_score)(self.max_eval_time_mins, clone(sklearn_pipeline),
            features=features, classes=classes, cv=self.cv, scoring_function=self.scoring_function,
            sample_weight_dict=sample_weight_dict, pbar=self._pbar, verbosity=self.verbosity)
            for sklearn_pipeline in sklearn_pipeline_list)
            
            pool = Pool(processes=self.n_jobs)
            resulting_score_list = pool.map(partial_cross_val_score, sklearn_pipeline_list)
        else:

Instances