diff --git a/CMakeLists.txt b/CMakeLists.txt
index db18df1..5b8cc84 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -68,7 +68,7 @@ endif (ENABLE_CLANG_TIDY)
 # --------------------------------------------------
 # find_library(BayesNet NAMES libBayesNet BayesNet libBayesNet.a PATHS ${PyClassifiers_SOURCE_DIR}/../lib/lib REQUIRED)
 # find_path(Bayesnet_INCLUDE_DIRS REQUIRED NAMES bayesnet PATHS ${PyClassifiers_SOURCE_DIR}/../lib/include)
-find_library(bayesnet NAMES libbayesnet bayesnet libbayesnet.a PATHS ../lib REQUIRED)
+find_library(bayesnet NAMES libbayesnet bayesnet libbayesnet.a ${PyClassifiers_SOURCE_DIR}/../lib/lib REQUIRED)
 find_path(Bayesnet_INCLUDE_DIRS REQUIRED NAMES bayesnet PATHS ../lib/include)
 message(STATUS "BayesNet=${bayesnet}")
 message(STATUS "Bayesnet_INCLUDE_DIRS=${Bayesnet_INCLUDE_DIRS}")
diff --git a/pyclfs/AdaBoost.cc b/pyclfs/AdaBoostPy.cc
similarity index 56%
rename from pyclfs/AdaBoost.cc
rename to pyclfs/AdaBoostPy.cc
index bf3fedc..ee27537 100644
--- a/pyclfs/AdaBoost.cc
+++ b/pyclfs/AdaBoostPy.cc
@@ -1,19 +1,19 @@
-#include "AdaBoost.h"
+#include "AdaBoostPy.h"
 
 namespace pywrap {
-    AdaBoost::AdaBoost() : PyClassifier("sklearn.ensemble", "AdaBoostClassifier", true)
+    AdaBoostPy::AdaBoostPy() : PyClassifier("sklearn.ensemble", "AdaBoostClassifier", true)
     {
         validHyperparameters = { "n_estimators", "n_jobs", "random_state" };
     }
-    int AdaBoost::getNumberOfEdges() const
+    int AdaBoostPy::getNumberOfEdges() const
     {
         return callMethodSumOfItems("get_n_leaves");
     }
-    int AdaBoost::getNumberOfStates() const
+    int AdaBoostPy::getNumberOfStates() const
     {
         return callMethodSumOfItems("get_depth");
     }
-    int AdaBoost::getNumberOfNodes() const
+    int AdaBoostPy::getNumberOfNodes() const
     {
         return callMethodSumOfItems("node_count");
     }
diff --git a/pyclfs/AdaBoost.h b/pyclfs/AdaBoostPy.h
similarity index 64%
rename from pyclfs/AdaBoost.h
rename to pyclfs/AdaBoostPy.h
index 8cc8fb7..447b48c 100644
--- a/pyclfs/AdaBoost.h
+++ b/pyclfs/AdaBoostPy.h
@@ -1,12 +1,12 @@
-#ifndef ADABOOST_H
-#define ADABOOST_H
+#ifndef ADABOOSTPY_H
+#define ADABOOSTPY_H
 #include "PyClassifier.h"
 
 namespace pywrap {
-    class AdaBoost : public PyClassifier {
+    class AdaBoostPy : public PyClassifier {
     public:
-        AdaBoost();
-        ~AdaBoost() = default;
+        AdaBoostPy();
+        ~AdaBoostPy() = default;
         int getNumberOfEdges() const override;
         int getNumberOfStates() const override;
         int getNumberOfNodes() const override;
diff --git a/pyclfs/CMakeLists.txt b/pyclfs/CMakeLists.txt
index db171e3..b0da972 100644
--- a/pyclfs/CMakeLists.txt
+++ b/pyclfs/CMakeLists.txt
@@ -4,5 +4,5 @@ include_directories(
     ${PyClassifiers_SOURCE_DIR}/lib/json/include
     ${Bayesnet_INCLUDE_DIRS}
 )
-add_library(PyClassifiers ODTE.cc STree.cc SVC.cc RandomForest.cc XGBoost.cc AdaBoost.cc PyClassifier.cc PyWrap.cc)
+add_library(PyClassifiers ODTE.cc STree.cc SVC.cc RandomForest.cc XGBoost.cc AdaBoostPy.cc PyClassifier.cc PyWrap.cc)
 target_link_libraries(PyClassifiers nlohmann_json::nlohmann_json ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::boost Boost::python Boost::numpy)
\ No newline at end of file
diff --git a/tests/TestPythonClassifiers.cc b/tests/TestPythonClassifiers.cc
index 0300788..4f40aee 100644
--- a/tests/TestPythonClassifiers.cc
+++ b/tests/TestPythonClassifiers.cc
@@ -10,7 +10,7 @@
 #include "pyclfs/SVC.h"
 #include "pyclfs/RandomForest.h"
 #include "pyclfs/XGBoost.h"
-#include "pyclfs/AdaBoost.h"
+#include "pyclfs/AdaBoostPy.h"
 #include "pyclfs/ODTE.h"
 #include "TestUtils.h"
 #include <iostream>
@@ -63,7 +63,7 @@ TEST_CASE("Test Python Classifiers score", "[PyClassifiers]")
 TEST_CASE("AdaBoostClassifier", "[PyClassifiers]")
 {
     auto raw = RawDatasets("iris", false);
-    auto clf = pywrap::AdaBoost();
+    auto clf = pywrap::AdaBoostPy();
     clf.fit(raw.Xt, raw.yt, raw.featurest, raw.classNamet, raw.statest);
     clf.setHyperparameters(nlohmann::json::parse("{ \"n_estimators\": 100 }"));
     auto score = clf.score(raw.Xt, raw.yt);