M5 Prime?

daviddonohuedaviddonohue Member Posts: 8 Contributor II
edited June 2019 in Help
Ingo and friends,
I am quite fond of the Weka M5P learner.  I find it to be fast and highly flexible.  Specifically, none or very few of the RapidMiner learners can handle numeric or nominal attributes with a numeric label. 
Am I missing something in the standard RapidMiner learners?
Any plans to implement a RapidMiner version of M5P?


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    IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,751 RM Founder
    Hi David,

    you are right, natively only the NeuralNet and NearestNeighbors support numerical predictions for nominal attributes. We will therefore add a M5P implementation to our todo list. Of course we also highly appreciate any contribution if someone is interested in implementing this learner.

    We actually had a regression tree some time ago in our developer version but it turned out to perform less good on a large set of test sets and so we decided to stick to appropriate preprocessing operators (for example turning the nominal attributes into numerical ones) and apply superior learning schemes.

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    daviddonohuedaviddonohue Member Posts: 8 Contributor II
    Thanks, Ingo!
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