Yes with: make_Weka_classifier(name, class = NULL, handlers = list(),
init = NULL)
HTH, Christian
Hi Wensui,
When I looked at their docs:
http://cran.r-project.org/web/packages/RWeka/RWeka.pdf
It appeared they only have a connection to:
J48
LMT
M5P
DecisionStump
Is it possible to connect it to:
http://www.cs.tufts.edu/~ablumer/weka/doc/weka.classifiers.Id3.html
If so, how?
Thanks.
----------------Contact
Details:-------------------------------------------------------
Contact me: tal.gal...@gmail.com |
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com (English)
----------------------------------------------------------------------------------------------
On Tue, Sep 2, 2014 at 6:13 PM, Wensui Liu <liuwen...@gmail.com> wrote:
Rweka
On Sep 2, 2014 11:04 AM, "Tal Galili" <tal.gal...@gmail.com> wrote:
Dear R help mailing list,
I am looking for an ID3 implementation in R. I know that there are many
other decision tree algorithms already implemented (via rpart, tree,
caret,
C50, etc., etc.), but for research purposes I would like to reproduce the
result of running ID3.
I was not able to find such an implementation when searching in any of the
following:
http://rseek.org/
http://finzi.psych.upenn.edu/search.html
http://cran.r-project.org/web/views/MachineLearning.html
Any suggestions?
Thanks,
Tal
----------------Contact
Details:-------------------------------------------------------
Contact me: tal.gal...@gmail.com |
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com (English)
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.