I am fitting 64 support vector machines to accomplish a regression task on 64-dimensional targets. At the moment, I am simply iterating through each regression and saving the individually-fit models in a cell array. I find that each model has ~2000 support vectors and would like to reduce the storage the models require by identifying which support vectors are shared among regressors and having the models point to the shared support vectors rather than duplicate them. Is there a wrapper function that can identify and consolidate shared support vectors as the models train, or must I implement this manually? I am afraid I cannot simply install Python to use sklearn.I am fitting 64 support vector machines to accomplish a regression task on 64-dimensional targets. At the moment, I am simply iterating through each regression and saving the individually-fit models in a cell array. I find that each model has ~2000 support vectors and would like to reduce the storage the models require by identifying which support vectors are shared among regressors and having the models point to the shared support vectors rather than duplicate them. Is there a wrapper function that can identify and consolidate shared support vectors as the models train, or must I implement this manually? I am afraid I cannot simply install Python to use sklearn. I am fitting 64 support vector machines to accomplish a regression task on 64-dimensional targets. At the moment, I am simply iterating through each regression and saving the individually-fit models in a cell array. I find that each model has ~2000 support vectors and would like to reduce the storage the models require by identifying which support vectors are shared among regressors and having the models point to the shared support vectors rather than duplicate them. Is there a wrapper function that can identify and consolidate shared support vectors as the models train, or must I implement this manually? I am afraid I cannot simply install Python to use sklearn. machine learning, statistics, svm, regression MATLAB Answers — New Questions

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