我使用 Encog，我使用 SVM 来预测数据。我的训练集值没有标准化，但它们最初在 [-1,1] 范围内。我不明白为什么会出现问题。
我的训练数据：
EURUSD_OPEN_CH,EURUSD_HIGH_CH,EURUSD_LOW_CH,EURUSD_CLOSE_CH,EURUSD_MACD,EURUSD_MACDS,EURUSD_STTDEV
0.0134883819,0.0132838637,0.0135361889,0.0140344719,0.0023983892,0.0010403195,0.0054870487
0.0001454143,0.0000969039,-0.0002216665,-0.0005261919,0.0035244907,0.0013168603,0.0070012526
-0.0005261846,0.0006574986,0.0001593581,0.0009628839,0.0044774819,0.0017225556,0.0081131621
0.0009282350,-0.0001867452,-0.0004156506,-0.0005882475,0.0051052958,0.0021969854,0.0088044648
-0.0005605769,-0.0006641071,0.0001455382,0.0000069246,0.0055397905,0.0027231400,0.0092672117
(...)
我应该标准化这些值吗？我认为这不是问题，但谁知道......我训练了 SVM，一切似乎都正确，但是当我评估 SVM 时，每个输入的输出都是相同的。如果需要，我可以附上代码。