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Correlation operators with matrix output shall also provide weights output
Contributor II
Dear RapidMiner programmers,
referring to post http://rapid-i.com/rapidforum/index.php/topic,8048.0.html I was not able to manage to transform the actual matrix content of e.g. mutual information operator to weights.
As a partly work-around it is possible to write the matrix content via report to a file but still it seems impossible to apply this content as weight.
I would urgently appreciate a weight output which works as described in the following text:
Matrix att1 att2 att3
att1 1 5 4
att2 6 1 5
att3 1 0 1
If this is the given matrix I wish to simply select an attribute e.g. "att3" and get the mutual information in this column as weights for each attribute, i.e. 4 as weight for att1 ... 1 as weight for att3.
PS: I could also imagine that an example to weights operator would come handy in general.
Best regards
Sachs
referring to post http://rapid-i.com/rapidforum/index.php/topic,8048.0.html I was not able to manage to transform the actual matrix content of e.g. mutual information operator to weights.
As a partly work-around it is possible to write the matrix content via report to a file but still it seems impossible to apply this content as weight.
I would urgently appreciate a weight output which works as described in the following text:
Matrix att1 att2 att3
att1 1 5 4
att2 6 1 5
att3 1 0 1
If this is the given matrix I wish to simply select an attribute e.g. "att3" and get the mutual information in this column as weights for each attribute, i.e. 4 as weight for att1 ... 1 as weight for att3.
PS: I could also imagine that an example to weights operator would come handy in general.
Best regards
Sachs
0
Answers
cor (att1 and att2)
cor (att1 and att3)
cor (att1 and att4)
and not the correlation between each and every attribute like cor (att2 and att3).
With many attributes this could improve the speed tremendously. Furthermore, even with the mentioned workaround to read out the resulting values this method stops working if the matrix is too large. In this case it simply does not display all colums anymore.
Cheers
Sachs