From 1a171bcfef18ce00cf02f4a0b272f283554dcd46 Mon Sep 17 00:00:00 2001
From: Rishabh Garg <56191449+RishabhGarg108@users.noreply.github.com>
Date: Tue, 22 Jun 2021 14:53:14 +0530
Subject: [PATCH] Fix style check warnings

---
 .../methods/decision_tree/decision_tree_regressor.hpp       | 5 ++++-
 .../methods/decision_tree/decision_tree_regressor_impl.hpp  | 6 ++++--
 src/mlpack/methods/decision_tree/mad_gain.hpp               | 1 -
 3 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/src/mlpack/methods/decision_tree/decision_tree_regressor.hpp b/src/mlpack/methods/decision_tree/decision_tree_regressor.hpp
index aed4529921..6ad75adc05 100644
--- a/src/mlpack/methods/decision_tree/decision_tree_regressor.hpp
+++ b/src/mlpack/methods/decision_tree/decision_tree_regressor.hpp
@@ -409,7 +409,10 @@ class DecisionTreeRegressor :
   size_t NumLeaves() const;
 
   //! Get the child of the given index.
-  const DecisionTreeRegressor& Child(const size_t i) const { return *children[i]; }
+  const DecisionTreeRegressor& Child(const size_t i) const
+  {
+    return *children[i];
+  }
   //! Modify the child of the given index (be careful!).
   DecisionTreeRegressor& Child(const size_t i) { return *children[i]; }
 
diff --git a/src/mlpack/methods/decision_tree/decision_tree_regressor_impl.hpp b/src/mlpack/methods/decision_tree/decision_tree_regressor_impl.hpp
index d29bae904b..82432d01e1 100644
--- a/src/mlpack/methods/decision_tree/decision_tree_regressor_impl.hpp
+++ b/src/mlpack/methods/decision_tree/decision_tree_regressor_impl.hpp
@@ -677,7 +677,8 @@ double DecisionTreeRegressor<FitnessFunction,
     // Get the number of children we will have.
     size_t numChildren = 0;
     if (datasetInfo.Type(bestDim) == data::Datatype::categorical)
-      numChildren = CategoricalSplit::NumChildren(splitPointOrPrediction, *this);
+      numChildren = CategoricalSplit::NumChildren(splitPointOrPrediction,
+          *this);
     else
       numChildren = NumericSplit::NumChildren(splitPointOrPrediction, *this);
 
@@ -837,7 +838,8 @@ double DecisionTreeRegressor<FitnessFunction,
   if (bestDim != data.n_rows)
   {
     // We know that the split is numeric.
-    size_t numChildren = NumericSplit::NumChildren(splitPointOrPrediction, *this);
+    size_t numChildren = NumericSplit::NumChildren(splitPointOrPrediction,
+        *this);
     splitDimension = bestDim;
     dimensionType = (size_t) data::Datatype::numeric;
 
diff --git a/src/mlpack/methods/decision_tree/mad_gain.hpp b/src/mlpack/methods/decision_tree/mad_gain.hpp
index 8a2bf968b9..bdd654c5a5 100644
--- a/src/mlpack/methods/decision_tree/mad_gain.hpp
+++ b/src/mlpack/methods/decision_tree/mad_gain.hpp
@@ -98,7 +98,6 @@ class MADGain
 
     return Evaluate<UseWeights>(values, weights, 0, values.n_elem);
   }
-
 };
 
 } // namespace tree