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_common.LinearModel --+
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SVMModel
A support vector machine.
>>> data = array([0.0, 0.0, 1.0, 1.0, 1.0, 2.0, 1.0, 3.0]).reshape(4,2) >>> svm = SVMWithSGD.train(sc.parallelize(data)) >>> svm.predict(array([1.0])) > 0 True
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