Fit PyWrap into BayesNet

src/Platform/CMakeLists.txt

@@ -6,6 +6,7 @@ include_directories(${BayesNet_SOURCE_DIR}/lib/mdlp)
 include_directories(${BayesNet_SOURCE_DIR}/lib/argparse/include)
 include_directories(${BayesNet_SOURCE_DIR}/lib/json/include)
 include_directories(${BayesNet_SOURCE_DIR}/lib/libxlsxwriter/include)
+include_directories(${Python3_INCLUDE_DIRS})
 
 add_executable(b_main b_main.cc Folding.cc Experiment.cc Datasets.cc Dataset.cc Models.cc ReportConsole.cc ReportBase.cc)
 add_executable(b_manage b_manage.cc Results.cc ManageResults.cc CommandParser.cc Result.cc ReportConsole.cc ReportExcel.cc ReportBase.cc Datasets.cc Dataset.cc ExcelFile.cc)

src/Platform/Models.h

@@ -12,6 +12,9 @@
 #include "AODELd.h"
 #include "BoostAODE.h"
 #include "STree.h"
+#include "ODTE.h"
+#include "SVC.h"
+#include "RandomForest.h"
 namespace platform {
     class Models {
     private:

src/Platform/modelRegister.h

@@ -18,6 +18,12 @@ static platform::Registrar registrarALD("AODELd",
     [](void) -> bayesnet::BaseClassifier* { return new bayesnet::AODELd();});
 static platform::Registrar registrarBA("BoostAODE",
     [](void) -> bayesnet::BaseClassifier* { return new bayesnet::BoostAODE();});
-static pywrap::Registrar registrarSt("STree",
+static platform::Registrar registrarSt("STree",
     [](void) -> bayesnet::BaseClassifier* { return new pywrap::STree();});
+static platform::Registrar registrarOdte("Odte",
+    [](void) -> bayesnet::BaseClassifier* { return new pywrap::ODTE();});
+static platform::Registrar registrarSvc("SVC",
+    [](void) -> bayesnet::BaseClassifier* { return new pywrap::SVC();});
+static platform::Registrar registrarRaF("RandomForest",
+    [](void) -> bayesnet::BaseClassifier* { return new pywrap::RandomForest();});
 #endif