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I do not think it makes sense to use this for categorical data. However, it is technically possible to analyze anything that can be transformed into a time series. Are you able to explain your application in more detail? I may be able to point you in the right direction.
I do have one hot encoding data
generated from original data which is mix of categorical and continues data
So I used buckets for continues data , to get everything represented as one hot
but for even one hot I do have multidimensional data
so all vectors for each dimension have different length
can it be used for categorical data?
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