problem with SVM

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What steps will reproduce the problem?
1.
2.
3.

What is the expected output? What do you see instead?
The SVM problem when used for Regression set, it has some problem

What version of the product are you using? On what operating system?
window 7

Please provide any additional information below.

Original issue reported on code.google.com by Rashid...@gmail.com on 6 Jul 2012 at 2:41

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Please be a bit more specific, otherwise it will be impossible to determine 
what is wrong.

Original comment by cesarso...@gmail.com on 6 Jul 2012 at 2:51

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Basically in the example program, there is a program for SVM. the data set has 
two distinct problems, 1. classification 2. regression.
The code work well for classification however for regression the code has some 
problem and it does not executed.

Original comment by Rashid...@gmail.com on 6 Jul 2012 at 5:12

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[deleted comment]

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This is true. The SMO for regression is available as a separate, GPL-only .dll. 
Thus it is not part of the sample application. To use it, first you need to 
include a reference to the Accord.MachineLearning.GPL dll. Then you could try 
taking a look on the documentation for the 
SequentialMinimalOptimizationRegression class ( 
http://accord.googlecode.com/svn/docs/html/T_Accord_MachineLearning_VectorMachin
es_Learning_SequentialMinimalOptimizationRegression.htm ). Its usage is very 
similar to the standard classification learning algorithm.

Original comment by cesarso...@gmail.com on 6 Jul 2012 at 1:23

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Thank you very much for assistance. reference to your blog" 
http://crsouza.blogspot.kr/2010/04/kernel-support-vector-machines-for.html ", 
it has shown that regression has been solved by you. due to the reason that i 
am new in this field and want to have in depth understanding, i would request 
you please send me a solved regression problem. 
Thanks

Original comment by Rashid...@gmail.com on 7 Jul 2012 at 1:10

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Hi,

Together with a few fixes, I've included an example in the documentation on how 
to learn and use a regression machine in the just released framework version. 
The documentation entry is available at

http://accord.googlecode.com/svn/docs/html/T_Accord_MachineLearning_VectorMachin
es_Learning_SequentialMinimalOptimizationRegression.htm

Original comment by cesarso...@gmail.com on 1 Sep 2012 at 9:41

• Changed state: Fixed