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From: james w. <jbu...@ya...> - 2015-05-01 12:16:42
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Many thanks Ralf, it is now OK. But I wish to know how then this will be useful when I have a new dataset - test set i.e. I want to predict the class for a new observation. If only what I am providing is the index attribute that refers to the rows/columns of the kernel matrix, how will this information be sufficient to label a new observation appropriately?
Best regards,
James.
On Friday, May 1, 2015 9:40 AM, Ralf <ralfjack673(a)gmail.com> wrote:
I believe THAT the kernel you provided cannot deal with the data that you loaded. This kernel is based on a static kernel matrix that is read from a file. Instances must have a single nominal attribute (excluding the class). This attribute must be the first attribute in the file and its values are used to reference rows/columns in the kernel matrix. The second attribute must be the class attribute.
Wish this helps.
Ralf
On Fri, May 1, 2015 at 4:09 AM, james wafula [via WEKA] <[hidden email]> wrote:
Hi all,
I am very new to Weka. I have played around with using pre-computed kernel matrix and all was well until recently. Now I get the following error:
Problem reading matrix from kernelMatrix.matrix
What could be the problem? I have neither altered the kernel matrix nor the arff file at all.
Best regards,
James.
On Thursday, April 30, 2015 6:57 PM, jason roger <[hidden email]> wrote:
Dear Weka user,
Anybody knows how Weka able to select "wordsToKeep" parameter of StringToWordVector filer?
Thanks a lot.
Jason
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