Find BayesNet and PyClassifiers in $HOME/lib folder

CMakeLists.txt

@@ -73,8 +73,15 @@ add_git_submodule("lib/mdlp")
 find_library(XLSXWRITER_LIB NAMES libxlsxwriter.dylib libxlsxwriter.so PATHS ${Platform_SOURCE_DIR}/lib/libxlsxwriter/lib)
 message("XLSXWRITER_LIB=${XLSXWRITER_LIB}")
 
-find_library(PyClassifiers NAMES libPyClassifiers PyClassifiers libPyClassifiers.a)
-find_library(BayesNet NAMES libBayesNet BayesNet libBayesNet.a)
+find_library(PyClassifiers NAMES libPyClassifiers PyClassifiers libPyClassifiers.a PATHS ${Platform_SOURCE_DIR}/../lib REQUIRED)
+find_path(PyClassifiers_INCLUDE_DIRS REQUIRED NAMES pyclassifiers PATHS ${Platform_SOURCE_DIR}/../lib/include)
+find_library(BayesNet NAMES libBayesNet BayesNet libBayesNet.a PATHS ${Platform_SOURCE_DIR}/../lib/lib REQUIRED)
+find_path(Bayesnet_INCLUDE_DIRS REQUIRED NAMES bayesnet PATHS ${Platform_SOURCE_DIR}/../lib/include)
+
+message(STATUS "PyClassifiers=${PyClassifiers}")
+message(STATUS "PyClassifiers_INCLUDE_DIRS=${PyClassifiers_INCLUDE_DIRS}")
+message(STATUS "BayesNet=${BayesNet}")
+message(STATUS "Bayesnet_INCLUDE_DIRS=${Bayesnet_INCLUDE_DIRS}")
 
 # Subdirectories
 # --------------

README.md

@@ -97,8 +97,6 @@ List all the datasets and its properties. The datasets are located in the _datas
 
 where <real_features> can be either the word _all_ or a list of numbers separated by commas, i.e. [0,3,6,7]
 
-![b_list](img/blist.gif)
-
 ### b_grid
 
 Run a grid search over the parameters of the classifiers. The parameters are defined in the file _grid.txt_ located in the grid folder of the experiments. The file has to be created with the following format:
@@ -138,14 +136,10 @@ Run the main experiment. There are several hyperparameters that can set in comma
 - -\-title <title_text>: Title of the experiment (optional if only one dataset is specificied).
 - -\-quiet: Don't display detailed progress and result of the experiment.
 
-![b_main](img/bmain.gif)
-
 ### b_manage
 
 Manage the results of the experiments.
 
-![b_manage](img/bmanage.gif)
-
 ### b_best
 
 Get and optionally compare the best results of the experiments. The results can be stored in an MS Excel file.

sample/CMakeLists.txt

@@ -8,7 +8,8 @@ include_directories(
     ${Platform_SOURCE_DIR}/lib/folding
     ${Platform_SOURCE_DIR}/lib/json/include
     ${CMAKE_BINARY_DIR}/configured_files/include
-    /usr/local/include
+    ${PyClassifiers_INCLUDE_DIRS}
+    ${Bayesnet_INCLUDE_DIRS}
 )
 add_executable(PlatformSample sample.cpp ${Platform_SOURCE_DIR}/src/main/Models.cpp) 
 target_link_libraries(PlatformSample "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)

src/CMakeLists.txt

@@ -10,7 +10,8 @@ include_directories(
     ${MPI_CXX_INCLUDE_DIRS}
     ${TORCH_INCLUDE_DIRS}
     ${CMAKE_BINARY_DIR}/configured_files/include
-    /usr/local/include
+    ${PyClassifiers_INCLUDE_DIRS}
+    ${Bayesnet_INCLUDE_DIRS}
     ## Platform
     ${Platform_SOURCE_DIR}/src
     ${Platform_SOURCE_DIR}/results

tests/CMakeLists.txt

@@ -8,7 +8,8 @@ if(ENABLE_TESTING)
         ${Platform_SOURCE_DIR}/lib/json/include
         ${Platform_SOURCE_DIR}/lib/folding
         ${CMAKE_BINARY_DIR}/configured_files/include
-        /usr/local/include
+        ${PyClassifiers_INCLUDE_DIRS}
+        ${Bayesnet_INCLUDE_DIRS}
     )
     set(TEST_SOURCES_PLATFORM TestUtils.cpp TestPlatform.cpp)
     add_executable(${TEST_PLATFORM} ${TEST_SOURCES_PLATFORM})