mlpack: Lasso regression that takes in pointer to function

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from http://www.mlpack.org/doxygen.php?doc=classmlpack_1_1regression_1_1LARS.html

I'm trying to use void mlpack::regression::LARS::Regress but the function itself only takes in some &gramMatrix as input. If I want to pass in function to compute some sum R_i * X_i, I'm stuck because it only takes in pointer to matrix. Any idea on how to get around this ? ( the beta is constantly updating within the optimization function void mlpack::regression::LARS::Regress, and beta is neeeded to compute sum R_i * X_i ).

Any suggestion to other C++ ml library would also be madly helpful. Thanks!

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