Home How to implement sklearns SVM Linear kernel one vs one approach in java?
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How to implement sklearns SVM Linear kernel one vs one approach in java?

Raj Patel
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Raj Patel Published in 2018-02-14 09:45:02Z

I have trained sklearns linear kernel with 10 classes having 128 features each. As a result i have got 10*(10-1)/2 * 128 coefficients and 10*(10-1)/2 intercepts.

But following this "Exporting SVM classifiers from sklearn to Java codebase" approach i am unable to perform the dot product with the dimensions mentioned above, so how can i implement the above method for my case.

Or else how can i import these coefficients and intercepts in libsvm of android?

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