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SuperSVM

This Project has different functions which are used at various satges in the algorithm. Proxg function is used to calculate the proximal of 1-norm. OperatorT and OperatorTi is used to calculate T value. adjOperatorT and adjOperatorTi is used to calculate T* value. feature_transformation is used to transform or scale the input training data and can be updated to any non-linear transformations as well. rfactor is used to calculate the hinge loss. Projection is used to calculate the Projection of the vector. svm_training is used to formulate the calssification model from training data. dis_operator is used to predict the class of the test data.

Basic outline of the project is to develop an effective predictor model from the input data.

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