diff --git a/src/mlpack/methods/linear_svm/linear_svm_function_impl.hpp b/src/mlpack/methods/linear_svm/linear_svm_function_impl.hpp index 560faec62a..4e8a751ce3 100644 --- a/src/mlpack/methods/linear_svm/linear_svm_function_impl.hpp +++ b/src/mlpack/methods/linear_svm/linear_svm_function_impl.hpp @@ -285,7 +285,7 @@ void LinearSVMFunction::Gradient( } else { - gradient.set_size(size(parameters)); + gradient.set_size(arma::size(parameters)); gradient.submat(0, 0, parameters.n_rows - 2, parameters.n_cols - 1) = dataset * difference.t(); gradient.row(parameters.n_rows - 1) = @@ -342,7 +342,7 @@ void LinearSVMFunction::Gradient( } else { - gradient.set_size(size(parameters)); + gradient.set_size(arma::size(parameters)); gradient.submat(0, 0, parameters.n_rows - 2, parameters.n_cols - 1) = dataset.cols(firstId, lastId) * difference.t(); gradient.row(parameters.n_rows - 1) = @@ -396,7 +396,7 @@ double LinearSVMFunction::EvaluateWithGradient( } else { - gradient.set_size(size(parameters)); + gradient.set_size(arma::size(parameters)); gradient.submat(0, 0, parameters.n_rows - 2, parameters.n_cols - 1) = dataset * difference.t(); gradient.row(parameters.n_rows - 1) = @@ -466,7 +466,7 @@ double LinearSVMFunction::EvaluateWithGradient( } else { - gradient.set_size(size(parameters)); + gradient.set_size(arma::size(parameters)); gradient.submat(0, 0, parameters.n_rows - 2, parameters.n_cols - 1) = dataset.cols(firstId, lastId) * difference.t(); gradient.row(parameters.n_rows - 1) =