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Describe the bug 关于 dsp 预测准确度的疑问 目前看dsp主要是利用傅里叶变换和自相关函数寻找时间序列的周期,且周期需为天或者周,不停的重复最后一个周期的数据,来达到预测的效果。 下图是使用cpu的7天使用率进行预测,在实际运用中,最后一个周期数据可能会导致局部时间段内的数据差距很大,预测的效果甚微。
Screenshots
局部时间段
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@zou2699 Would you please explain more about your chart like which line is what metric.
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the red line is actual cpu usage time series, and the yellow line is predicated cpu time series
算法首先会计算周期是天,还是周,然后会对上一个周期进行FFT和IFFT,得到下一个周期的数据,因此如果周期是周时,就不会出现你提的问题。所以你可以用debug方法看下你的数据预测的周期是什么。 https://gocrane.io/docs/core-concept/timeseriees-forecasting-by-dsp/
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Describe the bug
关于 dsp 预测准确度的疑问
目前看dsp主要是利用傅里叶变换和自相关函数寻找时间序列的周期,且周期需为天或者周,不停的重复最后一个周期的数据,来达到预测的效果。
下图是使用cpu的7天使用率进行预测,在实际运用中,最后一个周期数据可能会导致局部时间段内的数据差距很大,预测的效果甚微。
Screenshots
局部时间段
The text was updated successfully, but these errors were encountered: