On Tue, 17 Jun 2008, strinz at freenet.de wrote:
> Hello,
>
> I have a question concerning decision
> trees coming from RWeka :
>
> library(RWeka)
> m =J48(Species~.,data=iris)
>
> How could such a decision tree be transferred
> into a matrix, pretty much in the same fashion,
> as it is done by getTree() in library(ofw)
>
> library(ofw)
> data(srbct)
> attach(srbct)
> ##ofwCART
> learn.cart.keep <- ofw(srbct, as.factor(class),type="CART",
ntree=50, nforest=10, mtry=5)
> getTree(learn.cart.keep, k=3)
> detach(srbct)
>
> It would be very convenient to have
> a Weka Decision Tree object represented
> in matrix form or in y common binary tree format
Sure, that would be nice. However, we do not have a full R-representation
of Weka_tree objects as we rely for almost all computations on the
corresponding methods from Weka. For plotting we do some parsing of the
representation (based on the DOT graph representation). Have a look at the
output of
RWeka:::make_Weka_classifier_tree(m)
hth,
Z
Weka_tree objects is that RWeka
relies for almost all computations on the corresponding Weka methods and
thus doesn't
> thanks a lot
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>