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Unordered attributes
Learner III
I have inputs with individual properties. For example XXXX(a,b),YYYY(a,c). I don't have a clear label from inputs, but it is another set similar to inputs (such as XXXX(b,c),ZZZZZ(e,f).
For any given input set, I would like to predict what the output set should be. I think some kind of probabilistic learning would work.
There could be multiple input elements with same name but different properties (for example XXXX(a,b) and XXXX(a,k). The input is unordered so I cannot have a big input vector.
Is it possible to handle this with rapid miner?
Thanks in advance.
For any given input set, I would like to predict what the output set should be. I think some kind of probabilistic learning would work.
There could be multiple input elements with same name but different properties (for example XXXX(a,b) and XXXX(a,k). The input is unordered so I cannot have a big input vector.
Is it possible to handle this with rapid miner?
Thanks in advance.
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