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The only tricky part would be writing a quadratic solver. Alternatives: either solve a linear SVM using gradient descent (simpler to write), or offload the core of the algorithm to an existing solver like cvxopt.

edit: For an example of using cvxopt, check out http://www.mblondel.org/journal/2010/09/19/support-vector-ma...



Another approach is to implement Platt's SMO:

http://en.wikipedia.org/wiki/Sequential_minimal_optimization


cool - thanks




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