Many Outputs ?

[DodUnDo]

Hi

can we indicate many outputs (multi values) in the mapping funtion on weka ?

f(input1, input2, input3) ---> (output1(3 values), output2(5 values));



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[Peter Reutemann-3]

> 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?

Cheers, Peter
--
Peter Reutemann, Dept. of Computer Science, University of Waikato, NZ
http://www.cs.waikato.ac.nz/~fracpete/           Ph. [phone]

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[DodUnDo]

Peter Reutemann wrote:
>> 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

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[Peter Reutemann-3]

>>> 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. [phone]

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