Añade AdaBoost and tests

pyclfs/AdaBoost.cc

@@ -0,0 +1,20 @@
+#include "AdaBoost.h"
+
+namespace pywrap {
+    AdaBoost::AdaBoost() : PyClassifier("sklearn.ensemble", "AdaBoostClassifier", true)
+    {
+        validHyperparameters = { "n_estimators", "n_jobs", "random_state" };
+    }
+    int AdaBoost::getNumberOfEdges() const
+    {
+        return callMethodSumOfItems("get_n_leaves");
+    }
+    int AdaBoost::getNumberOfStates() const
+    {
+        return callMethodSumOfItems("get_depth");
+    }
+    int AdaBoost::getNumberOfNodes() const
+    {
+        return callMethodSumOfItems("node_count");
+    }
+} /* namespace pywrap */

pyclfs/AdaBoost.h

@@ -0,0 +1,15 @@
+#ifndef ADABOOST_H
+#define ADABOOST_H
+#include "PyClassifier.h"
+
+namespace pywrap {
+    class AdaBoost : public PyClassifier {
+    public:
+        AdaBoost();
+        ~AdaBoost() = default;
+        int getNumberOfEdges() const override;
+        int getNumberOfStates() const override;
+        int getNumberOfNodes() const override;
+    };
+} /* namespace pywrap */
+#endif /* ADABOOST_H */

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 PyClassifier.cc PyWrap.cc)
+add_library(PyClassifiers ODTE.cc STree.cc SVC.cc RandomForest.cc XGBoost.cc AdaBoost.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)