gaozhangyang
commented
1 year ago Suppose the original data is X, we use the transformed $\hat{X}$:
$\hat{X} = (X-X{min}) / (X{max}-X_{min})$,
where $X{max}=1, X{min}=-1$
Closed Mareeta26 closed 1 year ago
gaozhangyang
commented
1 year ago Suppose the original data is X, we use the transformed $\hat{X}$:
$\hat{X} = (X-X{min}) / (X{max}-X_{min})$,
where $X{max}=1, X{min}=-1$
Hi, May I know whether you can share how you did the pre-processing and the post-processing of the TaxiBJ frames? It's stated int he paper " Following [69], we transform the data into [0, 1] via max-min normalization. Since the origi- nal data is between -1 and 1, the reported MSE and MAE are 1/4 and 1/2 of the original ones, consistent with previous lit- erature ". It would be helpful if you can guide me.
Thank you!