Hi, is it possible to normalize dataset of dynamic ids?
Every day It鈥檒l get new ids 1567, 1568, ... so I can鈥檛 get final Id.
I thought to normalize like this 100/1567 but don鈥檛 know if this correct way
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You can take some very large and non-reachable (in practice) ID as "1" and divide all IDs by this value.
For example, 100000000. So you'll be normalizing your real IDs like 1567/10000000.
You can take some very large and non-reachable (in practice) ID as "1" and divide all IDs by this value.
For example, 100000000. So you'll be normalizing your real IDs like 1567/10000000.
Will Brain js work fine in this way?
Depends on definition of "fine" :-)
If it is an ID if will not be effective in the input. But usually this method works fine. (get large value in data set and divide all values)