From 40d38651ccc3d93f59ed4406d3ff9cb304caa600 Mon Sep 17 00:00:00 2001
From: Varun Agrawal <varagrawal@gmail.com>
Date: Fri, 14 Oct 2022 16:44:38 -0400
Subject: [PATCH] rename discreteFactor to decisionTree

---
 gtsam/hybrid/HybridBayesNet.cpp | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/gtsam/hybrid/HybridBayesNet.cpp b/gtsam/hybrid/HybridBayesNet.cpp
index cc27600f0..8bce45c51 100644
--- a/gtsam/hybrid/HybridBayesNet.cpp
+++ b/gtsam/hybrid/HybridBayesNet.cpp
@@ -45,7 +45,7 @@ DecisionTreeFactor::shared_ptr HybridBayesNet::discreteConditionals() const {
 HybridBayesNet HybridBayesNet::prune(size_t maxNrLeaves) const {
   // Get the decision tree of only the discrete keys
   auto discreteConditionals = this->discreteConditionals();
-  const DecisionTreeFactor::shared_ptr discreteFactor =
+  const DecisionTreeFactor::shared_ptr decisionTree =
       boost::make_shared<DecisionTreeFactor>(
           discreteConditionals->prune(maxNrLeaves));
 
@@ -59,7 +59,7 @@ HybridBayesNet HybridBayesNet::prune(size_t maxNrLeaves) const {
   HybridBayesNet prunedBayesNetFragment;
 
   // Go through all the conditionals in the
-  // Bayes Net and prune them as per discreteFactor.
+  // Bayes Net and prune them as per decisionTree.
   for (size_t i = 0; i < this->size(); i++) {
     HybridConditional::shared_ptr conditional = this->at(i);
 
@@ -69,7 +69,7 @@ HybridBayesNet HybridBayesNet::prune(size_t maxNrLeaves) const {
       // Make a copy of the gaussian mixture and prune it!
       auto prunedGaussianMixture =
           boost::make_shared<GaussianMixture>(*gaussianMixture);
-      prunedGaussianMixture->prune(*discreteFactor);
+      prunedGaussianMixture->prune(*decisionTree);
 
       // Type-erase and add to the pruned Bayes Net fragment.
       prunedBayesNetFragment.push_back(