sklearnbasemodel.py 文件源码

def run_croos_validation(self):
        features,labels,cv = self.getFeaturesLabel()
        scores = cross_validation.cross_val_score(self.clf, features, labels, cv=cv, scoring=mean_absolute_percentage_error_scoring, n_jobs = -1)
        print "cross validation scores: means, {}, std, {}, details,{}".format(np.absolute(scores.mean()), scores.std(), np.absolute(scores))
        return -np.absolute(scores.mean())