eddbc97df364b32a5710de92133761e0d33093ba,python-package/mlbox/model/supervised/classification/stacking_classifier.py,StackingClassifier,fit_transform,#StackingClassifier#,161

Before Change

            end_time = time.time()

            for i in range(0, y_pred.shape[1]-int(self.drop_first)):
                preds["est"+str(c+1)+"_class"+str(i)+"_("+str(end_time-start_time)+"sec)"] = y_pred[:,i]

            clf.fit(X.drop(indexes_to_drop), y.drop(indexes_to_drop))      // and we refit the base estimator on entire train set

After Change

        layer = 1
        while(len(np.intersect1d(X.columns, ["layer"+str(layer)+"_"+s for s in preds.columns]))>0):
            layer = layer + 1
        preds.columns = ["layer"+str(layer)+"_"+s for s in preds.columns]
            
        self.__fittransformOK = True

        if(self.copy==True):

Instances