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hello, is it reasonable to round down in the source code? Change = np.divide((Changemap + cdMap),2).astype(int)
or or Change = np.ceil(np.divide((Changemap + cdMap),2))
Because when experimenting on my own dataset, Change will have a value less than 1.0 after multiple rounds of training, and asype(int) will cause all elements to be rounded down to zero.
The text was updated successfully, but these errors were encountered:
hello, is it reasonable to round down in the source code?
Change = np.divide((Changemap + cdMap),2).astype(int)
or
or Change = np.ceil(np.divide((Changemap + cdMap),2))
Because when experimenting on my own dataset,
Change
will have a value less than 1.0 after multiple rounds of training, andasype(int)
will cause all elements to be rounded down to zero.The text was updated successfully, but these errors were encountered: