From 3ff74de96e895782fb7d112eec04528655df324a Mon Sep 17 00:00:00 2001
From: himanshupathak21061998 <hpathak336@gmail.com>
Date: Fri, 17 Jan 2020 13:09:17 +0530
Subject: [PATCH] Removing info about new weaklearner

---
 src/mlpack/methods/adaboost/adaboost_impl.hpp           | 2 --
 src/mlpack/methods/decision_tree/decision_tree_impl.hpp | 3 +--
 2 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/src/mlpack/methods/adaboost/adaboost_impl.hpp b/src/mlpack/methods/adaboost/adaboost_impl.hpp
index 35514eb476..88929c06c6 100644
--- a/src/mlpack/methods/adaboost/adaboost_impl.hpp
+++ b/src/mlpack/methods/adaboost/adaboost_impl.hpp
@@ -120,8 +120,6 @@ double AdaBoost<WeakLearnerType, MatType>::Train(
     weights = arma::sum(D);
 
     // Use the existing weak learner to train a new one with new weights.
-    // In fact, the new weak learner just inherits some hyperparameters
-    // from existing weak learner.
     WeakLearnerType w(other, tempData, labels, numClasses, weights);
     w.Classify(tempData, predictedLabels);
 
diff --git a/src/mlpack/methods/decision_tree/decision_tree_impl.hpp b/src/mlpack/methods/decision_tree/decision_tree_impl.hpp
index b11a1a8225..7221ee903b 100644
--- a/src/mlpack/methods/decision_tree/decision_tree_impl.hpp
+++ b/src/mlpack/methods/decision_tree/decision_tree_impl.hpp
@@ -88,11 +88,10 @@ DecisionTree<FitnessFunction,
 
   // Set the correct dimensionality for the dimension selector.
   dimensionSelector.Dimensions() = tmpData.n_rows;
-  arma::Row<size_t> passlabels = tmpLabels;
 
   // Pass off work to the Train() method.
   arma::rowvec weights; // Fake weights, not used.
-  Train<false>(tmpData, 0, tmpData.n_cols, passlabels, numClasses, weights,
+  Train<false>(tmpData, 0, tmpData.n_cols, tmpLabels, numClasses, weights,
       minimumLeafSize, minimumGainSplit, maximumDepth, dimensionSelector);
 }