log_reg.cpp

StandardSGD <LogisticRegressionFunction<>> sgdOpt(lrf);
sgdOpt.MaxIterations() = maxIterations;
sgdOpt.Tolerance() = tolerance;
sgdOpt.StepSize() = stepSize;
Log::Info << "Training model with SGD optimizer." << endl;

// This will train the model.
model.Train(sgdOpt);



Error:
------------------------------------------

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);
 
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,
 
 note:   template argument deduction/substitution failed:
 
 
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);