1.4. Support Vector Machines — scikit-learn 1.7.0 documentation
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Support Vector Machines are powerful tools, but their compute and storage requirements increase rapidly with the number of training vectors. The core of an SVM is a quadratic programming problem (QP), separating support vectors from the rest of the training data.
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