/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp: In function ‘int main(int, char**)’:
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp:248:25: error: no matching function for call to ‘mlpack::regression::LogisticRegression<>::Train(mlpack::optimization::StandardSGD<mlpack::regression::LogisticRegressionFunction<> >&)’
       model.Train(sgdOpt);
                         ^
In file included from /home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp:14:0:
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression.hpp:121:8: note: candidate: template<template<class> class typedef OptimizerType OptimizerType> void mlpack::regression::LogisticRegression<MatType>::Train(const MatType&, const arma::Row<long unsigned int>&) [with OptimizerType = OptimizerType; MatType = arma::Mat<double>]
   void Train(const MatType& predictors,
        ^
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression.hpp:121:8: note:   template argument deduction/substitution failed:
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp:248:25: note:   cannot convert ‘sgdOpt’ (type ‘mlpack::optimization::StandardSGD<mlpack::regression::LogisticRegressionFunction<> > {aka mlpack::optimization::SGD<mlpack::regression::LogisticRegressionFunction<>, mlpack::optimization::EmptyUpdate>}’) to type ‘const arma::Mat<double>&’
       model.Train(sgdOpt);
                         ^
In file included from /home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp:14:0:
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression.hpp:141:8: note: candidate: template<template<class> class typedef OptimizerType OptimizerType> void mlpack::regression::LogisticRegression<MatType>::Train(OptimizerType<mlpack::regression::LogisticRegressionFunction<MatType> >&) [with OptimizerType = OptimizerType; MatType = arma::Mat<double>]
   void Train(OptimizerType<LogisticRegressionFunction<MatType>>& optimizer);
        ^
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression.hpp:141:8: note:   template argument deduction/substitution failed:
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp:248:25: error: wrong number of template arguments (2, should be 1)
       model.Train(sgdOpt);
                         ^
In file included from /home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression.hpp:253:0,
                 from /home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_main.cpp:14:
/home/arun/src/mlpack/mlpack/src/mlpack/methods/logistic_regression/logistic_regression_impl.hpp:85:35: note: provided for ‘template<class MatType> template<class> class OptimizerType’
 template<template<typename> class OptimizerType>
                                   ^
src/mlpack/methods/logistic_regression/CMakeFiles/mlpack_logistic_regression.dir/build.make:62: recipe for target 'src/mlpack/methods/logistic_regression/CMakeFiles/mlpack_logistic_regression.dir/logistic_regression_main.cpp.o' failed
make[2]: *** [src/mlpack/methods/logistic_regression/CMakeFiles/mlpack_logistic_regression.dir/logistic_regression_main.cpp.o] Error 1
CMakeFiles/Makefile2:2593: recipe for target 'src/mlpack/methods/logistic_regression/CMakeFiles/mlpack_logistic_regression.dir/all' failed
make[1]: *** [src/mlpack/methods/logistic_regression/CMakeFiles/mlpack_logistic_regression.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....