7446d43f2350302a1fb44278378e9072b29aaa80,mlxtend/feature_selection/exhaustive_feature_selector.py,ExhaustiveFeatureSelector,fit,#ExhaustiveFeatureSelector#,128

Before Change

        if self.max_features < self.min_features:
            raise AttributeError("min_features must be <= max_features")

        candidates = list(chain(*((combinations(range(X.shape[1]), r=i))
                          for i in range(self.min_features,
                                         self.max_features + 1))))

        self.subsets_ = {}
        all_comb = len(candidates)
        n_jobs = min(self.n_jobs, all_comb)
        parallel = Parallel(n_jobs=n_jobs, pre_dispatch=self.pre_dispatch)
        work = enumerate(parallel(delayed(_calc_score)(self, X, y, c)
                                  for c in candidates))

After Change

        if self.max_features < self.min_features:
            raise AttributeError("min_features must be <= max_features")

        candidates = chain(*((combinations(range(X.shape[1]), r=i))
                          for i in range(self.min_features,
                                         self.max_features + 1)))

        self.subsets_ = {}
        
        def ncr(n, r):

Instances