I guess this is going to be hard to debug w/o knowing more about your
data.
How big is your dataset?
* How many observations?
* How many predictors/features per observation?
How many classes are in the data?
Can you make a small reproducible example?
Does your now cleaned data work w/ e1071?
Does ksvm work if you keep prob.model=FALSE?
On Jul 7, 2009, at 10:23 PM, Michael wrote:
I got the data working, but now I got another problem with KSVM:
line search fails -2.793708 -0.5831701 1.870406e-05 -5.728611e-06
-5.059796e-08 -3.761822e-08 -7.308871e-13Error in
prob.model(object)[[p]]$A :
$ operator is invalid for atomic vectors
On Tue, Jul 7, 2009 at 6:45 PM, Steve
Lianoglou<mailinglist.honey...@gmail.com> wrote:
Hi,
On Jul 7, 2009, at 6:44 PM, Michael wrote:
What's wrong? Very sad about this...
model <- ksvm(x=mytraindata[, -1], y=factor(mytraindata[, 1]),
prob.model=T)
Error in .local(x, ...) : x and y don't match.
Same problem you're having with the svm in e1071: I bet your data
is wonky.
split your data into the x and y vars first and inspect it to make
sure that
they're "clean."
-steve
--
Steve Lianoglou
Graduate Student: Physiology, Biophysics and Systems Biology
Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos
--
Steve Lianoglou
Graduate Student: Physiology, Biophysics and Systems Biology
Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos
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