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3
serve.py
3
serve.py
@ -148,7 +148,8 @@ def draw_yqy(config2, origin_data, predict_norm_data, mean_yqy, std_yqy):
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label_column_num = 3
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loss = \
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np.mean((label_norm_data[config.predict_day:] - predict_norm_data[:-config.predict_day]) ** 2, axis=0)
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np.mean((label_norm_data[config.predict_day:][:, 5][:,np.newaxis] - predict_norm_data[:-config.predict_day][0:]) ** 2,
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axis=0)
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print("The mean squared error of stock {} is ".format(label_name), loss)
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# label_X = range(origin_data.data_num - origin_data.train_num - origin_data.start_num_in_test)
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