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I am using Weka to train a model from few days. I know Weka use Java code to implement a classifier. I also heard that Weka has some github pages to describe the java code for the classifiers. I like to know the SVM java code which is used in WEKA. I found few webpages describing Java code for SVM classifiers for WEKA. I can not understand which one is there official page.

Providing me the link to SVM GitHub page would be very helpful.

Thank you.

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The official Weka source code is stored in a local Gitlab git repository (not on Github).

Note that there are two versions of SVM commonly used with Weka:

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  • $\begingroup$ I am looking for the code to understand how categorical data is handled in SVM. Because I found if I feed the SVM classifier with categorical data classifier did not throw the error, which is common for sklearn. So I want to know what part of the java code categorical data has been handled. $\endgroup$
    – Encipher
    Commented Oct 8, 2022 at 22:20
  • $\begingroup$ @Encipher in Weka categorical features must be declared as nominal in the arff file, this is how it's handled (not specific to SVM). I assume that any feature declared as nominal is one-hot-encoded, but I never actually checked the code. $\endgroup$
    – Erwan
    Commented Oct 9, 2022 at 20:21
  • $\begingroup$ Yeah I searched and found they have an unsupervised filter nominaltobanry which is based on one hot encoding and they just import that file on SVM. $\endgroup$
    – Encipher
    Commented Oct 10, 2022 at 20:08

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