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https://issues.apache.org/jira/browse/SYSTEMML-700?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15518574#comment-15518574
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Matthias Boehm commented on SYSTEMML-700:
-----------------------------------------
that's a good point - could you clarify what exactly you have in mind (e.g.,
scale values, non-contiguous integers, or even frames with strings).
Just to bring everybody on the same page, here is what we currently do for
adjusting y (after preparation we require integers starting from 1)
{code}
if (min (Y_vec) <= 0) {
# Category labels "0", "-1" etc. are converted into the largest label
max_y = max (Y_vec);
Y_vec = Y_vec + (- Y_vec + max_y + 1) * (Y_vec <= 0);
}
{code}
One could imaging something like transformencode(as.frame(y)) to recode
anything into the required range.
> Inflexible category labels for Multinomial Logistic Regression
> --------------------------------------------------------------
>
> Key: SYSTEMML-700
> URL: https://issues.apache.org/jira/browse/SYSTEMML-700
> Project: SystemML
> Issue Type: Bug
> Components: Algorithms
> Reporter: Jeremy
> Priority: Minor
> Original Estimate: 4h
> Remaining Estimate: 4h
>
> The Logistic Regression algorithm requires that category labels be labeled as
> 0 up to the number of classes-1. It should be able to handle any set of
> category labels provided by the user. B_out should have the appropriate size
> regardless of the values of the labels given, and the algorithm should also
> preserve the original labeling for the user.
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