On Tue, 17 Jun 2008, [EMAIL PROTECTED] 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
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