>>> can we indicate many outputs (multi values) in the mapping funtion on
>>> weka ?
>>>
>>> f(input1, input2, input3) ---> (output1(3 values), output2(5 values));
>>>
>>
>> What mapping function are you referring to? Associators? Classifiers?
>> Clusterers?
>>
>
> classifiers
Classifiers only predict a single class label for a single class
attribute (but you can obtain the class distribution array; Weka picks
the label with the highest probability from that array). Weka doesn't
support multiple class attributes.
Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/ Ph. +64 (7) 858-5174
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