Register MLPPGaussMarkovChecker to the ClassDB, and fixed warnings.

mlpp/gauss_markov_checker/gauss_markov_checker.cpp

@@ -8,7 +8,6 @@
 #include "../stat/stat.h"
 #include <iostream>
 
-
 void MLPPGaussMarkovChecker::checkGMConditions(std::vector<real_t> eps) {
 	bool condition1 = arithmeticMean(eps);
 	bool condition2 = homoscedasticity(eps);
@@ -22,36 +21,40 @@ void MLPPGaussMarkovChecker::checkGMConditions(std::vector<real_t> eps) {
 }
 
 bool MLPPGaussMarkovChecker::arithmeticMean(std::vector<real_t> eps) {
-	MLPPStat  stat;
+	MLPPStat stat;
 	if (stat.mean(eps) == 0) {
-		return 1;
+		return true;
 	} else {
-		return 0;
+		return false;
 	}
 }
 
 bool MLPPGaussMarkovChecker::homoscedasticity(std::vector<real_t> eps) {
-	MLPPStat  stat;
+	MLPPStat stat;
 	real_t currentVar = (eps[0] - stat.mean(eps)) * (eps[0] - stat.mean(eps)) / eps.size();
-	for (int i = 0; i < eps.size(); i++) {
+	for (uint32_t i = 0; i < eps.size(); i++) {
 		if (currentVar != (eps[i] - stat.mean(eps)) * (eps[i] - stat.mean(eps)) / eps.size()) {
-			return 0;
+			return false;
 		}
 	}
-	return 1;
+
+	return true;
 }
 
 bool MLPPGaussMarkovChecker::exogeneity(std::vector<real_t> eps) {
-	MLPPStat  stat;
+	MLPPStat stat;
-	for (int i = 0; i < eps.size(); i++) {
+	for (uint32_t i = 0; i < eps.size(); i++) {
-		for (int j = 0; j < eps.size(); j++) {
+		for (uint32_t j = 0; j < eps.size(); j++) {
 			if (i != j) {
 				if ((eps[i] - stat.mean(eps)) * (eps[j] - stat.mean(eps)) / eps.size() != 0) {
-					return 0;
+					return false;
 				}
 			}
 		}
 	}
-	return 1;
+
+	return true;
 }
 
+void MLPPGaussMarkovChecker::_bind_methods() {
+}

mlpp/gauss_markov_checker/gauss_markov_checker.h

@@ -10,11 +10,14 @@
 
 #include "core/math/math_defs.h"
 
+#include "core/object/reference.h"
+
 #include <string>
 #include <vector>
 
+class MLPPGaussMarkovChecker : public Reference {
+	GDCLASS(MLPPGaussMarkovChecker, Reference);
 
-class MLPPGaussMarkovChecker {
 public:
 	void checkGMConditions(std::vector<real_t> eps);
 
@@ -22,8 +25,9 @@ public:
 	bool arithmeticMean(std::vector<real_t> eps); // 1) Arithmetic Mean of 0.
 	bool homoscedasticity(std::vector<real_t> eps); // 2) Homoscedasticity
 	bool exogeneity(std::vector<real_t> eps); // 3) Cov of any 2 non-equal eps values = 0.
-private:
+
+protected:
+	static void _bind_methods();
 };
 
-
 #endif /* GaussMarkovChecker_hpp */

register_types.cpp

@@ -35,6 +35,7 @@ SOFTWARE.
 #include "mlpp/stat/stat.h"
 #include "mlpp/numerical_analysis/numerical_analysis.h"
 #include "mlpp/hypothesis_testing/hypothesis_testing.h"
+#include "mlpp/gauss_markov_checker/gauss_markov_checker.h"
 
 #include "mlpp/hidden_layer/hidden_layer.h"
 #include "mlpp/multi_output_layer/multi_output_layer.h"
@@ -74,6 +75,7 @@ void register_pmlpp_types(ModuleRegistrationLevel p_level) {
 		ClassDB::register_class<MLPPStat>();
 		ClassDB::register_class<MLPPNumericalAnalysis>();
 		ClassDB::register_class<MLPPHypothesisTesting>();
+		ClassDB::register_class<MLPPGaussMarkovChecker>();
 
 		ClassDB::register_class<MLPPHiddenLayer>();
 		ClassDB::register_class<MLPPOutputLayer>();