From cd4c1b0ba236cc86c3ef216547714cae6ea2c66a Mon Sep 17 00:00:00 2001
From: Ayush <ayushchamoli8@gmail.com>
Date: Thu, 28 Feb 2019 22:17:43 +0530
Subject: [PATCH] refactored reviewed syntax issues.

---
 .../linear_svm/linear_svm_function.hpp        |  1 +
 .../linear_svm/linear_svm_function_impl.hpp   | 27 ++++++++++---------
 .../methods/linear_svm/linear_svm_impl.hpp    | 10 +++----
 3 files changed, 20 insertions(+), 18 deletions(-)

diff --git a/src/mlpack/methods/linear_svm/linear_svm_function.hpp b/src/mlpack/methods/linear_svm/linear_svm_function.hpp
index bd7e568dcc..72df7f4444 100644
--- a/src/mlpack/methods/linear_svm/linear_svm_function.hpp
+++ b/src/mlpack/methods/linear_svm/linear_svm_function.hpp
@@ -18,6 +18,7 @@
 
 namespace mlpack {
 namespace svm {
+
 /**
  * The hinge loss function for the linear SVM objective function.
  * This is used by various ensmallen optimizers to train the linear
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 82de6dea33..a1b6ce6466 100644
--- a/src/mlpack/methods/linear_svm/linear_svm_function_impl.hpp
+++ b/src/mlpack/methods/linear_svm/linear_svm_function_impl.hpp
@@ -25,13 +25,13 @@ namespace svm {
 
 template <typename MatType>
 LinearSVMFunction<MatType>::LinearSVMFunction(
-  const MatType& dataset,
-  const arma::Row<size_t>& labels,
-  const size_t numClasses,
-  const double lambda) :
-  dataset(math::MakeAlias(const_cast<MatType&>(dataset), false)),
-  numClasses(numClasses),
-  lambda(lambda)
+    const MatType& dataset,
+    const arma::Row<size_t>& labels,
+    const size_t numClasses,
+    const double lambda) :
+    dataset(math::MakeAlias(const_cast<MatType&>(dataset), false)),
+    numClasses(numClasses),
+    lambda(lambda)
 {
   // Initialize the parameters to suitable values.
   initialPoint = InitializeWeights();
@@ -53,8 +53,8 @@ const arma::mat LinearSVMFunction<MatType>::InitializeWeights()
 
 template <typename MatType>
 const arma::mat LinearSVMFunction<MatType>::InitializeWeights(
-        const size_t featureSize,
-        const size_t numClasses)
+    const size_t featureSize,
+    const size_t numClasses)
 {
   arma::mat parameters;
   InitializeWeights(parameters, featureSize, numClasses);
@@ -63,9 +63,9 @@ const arma::mat LinearSVMFunction<MatType>::InitializeWeights(
 
 template <typename MatType>
 void LinearSVMFunction<MatType>::InitializeWeights(
-        arma::mat &weights,
-        const size_t featureSize,
-        const size_t numClasses)
+    arma::mat &weights,
+    const size_t featureSize,
+    const size_t numClasses)
 {
   // Initialize values to 0.005 * r. 'r' is a matrix of random values taken from
   // a Gaussian distribution with mean zero and variance one.
@@ -80,7 +80,8 @@ void LinearSVMFunction<MatType>::InitializeWeights(
  */
 template <typename MatType>
 void LinearSVMFunction<MatType>::GetGroundTruthMatrix(
-        const arma::Row<size_t>& labels, arma::sp_mat& groundTruth)
+    const arma::Row<size_t>& labels,
+    arma::sp_mat& groundTruth)
 {
   // Calculate the ground truth matrix according to the labels passed. The
   // ground truth matrix is a matrix of dimensions 'numClasses * numExamples',
diff --git a/src/mlpack/methods/linear_svm/linear_svm_impl.hpp b/src/mlpack/methods/linear_svm/linear_svm_impl.hpp
index 40f693417f..42816eaf7e 100644
--- a/src/mlpack/methods/linear_svm/linear_svm_impl.hpp
+++ b/src/mlpack/methods/linear_svm/linear_svm_impl.hpp
@@ -79,9 +79,9 @@ const
 
 template <typename MatType>
 void LinearSVM<MatType>::Classify(
-        const MatType& data,
-        arma::Row<size_t>& labels,
-        arma::mat& scores)
+    const MatType& data,
+    arma::Row<size_t>& labels,
+    arma::mat& scores)
 const
 {
   Classify(data, scores);
@@ -111,8 +111,8 @@ const
 
 template <typename MatType>
 void LinearSVM<MatType>::Classify(
-        const MatType& data,
-        arma::mat& scores)
+    const MatType& data,
+    arma::mat& scores)
 const
 {
   if (data.n_rows != FeatureSize())