9b9e491bb00be66b732d2f44b3e4375206940e61,auto_ml/predictor.py,Predictor,make_sub_x_and_y_test,#Predictor#Any#Any#,332

Before Change

        vals_to_ignore = set([None, float("Inf"), "ignore", "nan", "NaN", "Inf", "None", ""])
        clean_X_test = []
        clean_y = []
        for row in X_test:
            y_val = row.pop(sub_name, None)
            if y_val not in vals_to_ignore and pd.notnull(y_val):
                clean_X_test.append(row)
                clean_y.append(y_val)
        return clean_X_test, clean_y


    def _train_subpredictor(self, sub_name, X_subpredictors, sub_model_names=None, sub_ml_analytics=False, sub_compute_power=5):

After Change

    def make_sub_x_and_y_test(self, X_test, sub_name):
        X_test = X_test[X_test.notnull()]
        y = X_test.pop(sub_name)
        return X_test, y


    def _train_subpredictor(self, sub_name, X_subpredictors, sub_model_names=None, sub_ml_analytics=False, sub_compute_power=5):

Instances