intertiment issunes and fixes

[wentixiaogege]

replace like this

@staticmethod
    def multistage(X, y, forecast_period, num_sample_points=200):
        glm = multistage_glm.MultiStageGLM()
        Xtrain = X[:-forecast_period]
        ytrain = y
        Xtest = X[-forecast_period:]
        #######      ytest = y[-forecast_period:]
        print(Xtrain.shape,ytrain.shape)
        glm.fit(Xtrain, ytrain)
        yfit = glm.predict(Xtrain)
        ypred_list = []
        for _ in range(num_sample_points):
            ypred = glm.predict(Xtest)
            ypred_list.append(ypred.reshape((-1, 1)))
        ypred = np.concatenate(ypred_list, axis=1)
        
        p50 = np.quantile(ypred, 0.5, axis=1)
        p25 = np.quantile(ypred, 0.25, axis=1)
        p90 = np.quantile(ypred, 0.90, axis=1)

        return yfit, p50

[jingw2]

Thanks,