Update sample project and README

Makefile

@@ -111,7 +111,8 @@ fname = "tests/data/iris.arff"
 sample: ## Build sample
 	@echo ">>> Building Sample...";
 	@if [ -d ./sample/build ]; then rm -rf ./sample/build; fi
-	@cd sample && cmake -B build -S . -D CMAKE_BUILD_TYPE=Debug && cmake --build build -t bayesnet_sample
+	@cd sample && cmake -B build -S . -D CMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=${VCPKG_ROOT}/scripts/buildsystems/vcpkg.cmake && \
+	cmake --build build -t bayesnet_sample
 	sample/build/bayesnet_sample $(fname)
 	@echo ">>> Done";
 

README.md

@@ -12,43 +12,103 @@
 
 Bayesian Network Classifiers library
 
-## Dependencies
+## Setup
 
-The only external dependency is [libtorch](https://pytorch.org/cppdocs/installing.html) which can be installed with the following commands:
+### Using the vcpkg library
 
-```bash
-wget https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip
-unzip libtorch-shared-with-deps-latest.zip
+You can use the library with the vcpkg library manager. In your project you have to add the following files:
+
+#### vcpkg.json
+
+```json
+{
+  "name": "sample-project",
+  "version-string": "0.1.0",
+  "dependencies": [
+    "bayesnet"
+  ]
+}
 ```
 
-## Setup
+#### vcpkg-configuration.json
+
+```json
+{
+  "registries": [
+    {
+      "kind": "git",
+      "repository": "https://github.com/rmontanana/vcpkg-stash",
+      "baseline": "393efa4e74e053b6f02c4ab03738c8fe796b28e5",
+      "packages": [
+        "folding",
+        "bayesnet",
+        "arff-files",
+        "fimdlp",
+        "libtorch-bin"
+      ]
+    }
+  ],
+  "default-registry": {
+    "kind": "git",
+    "repository": "https://github.com/microsoft/vcpkg",
+    "baseline": "760bfd0c8d7c89ec640aec4df89418b7c2745605"
+  }
+}
+```
+
+#### CMakeLists.txt
+
+You have to include the following lines in your `CMakeLists.txt` file:
+
+```cmake
+find_package(bayesnet CONFIG REQUIRED)
+
+add_executable(myapp main.cpp)
+
+target_link_libraries(myapp PRIVATE bayesnet::bayesnet)
+```
+
+After that, you can use the `vcpkg` command to install the dependencies:
+
+```bash
+vcpkg install
+```
+
+**Note: In the `sample` folder you can find a sample application that uses the library. You can use it as a reference to create your own application.**
+
+## Playing with the library
+
+The dependencies are managed with [vcpkg](https://vcpkg.io/) and supported by a private vcpkg repository in [https://github.com/rmontanana/vcpkg-stash](https://github.com/rmontanana/vcpkg-stash).
 
 ### Getting the code
 
 ```bash
-git clone --recurse-submodules https://github.com/doctorado-ml/bayesnet
+git clone https://github.com/doctorado-ml/bayesnet
 ```
 
+Once you have the code, you can use the `make` command to build the project. The `Makefile` is used to manage the build process and it will automatically download and install the dependencies.
+
 ### Release
 
 ```bash
-make release
-make buildr
-sudo make install
+make init # Install dependencies
+make release # Build the release version
+make buildr # compile and link the release version
 ```
 
 ### Debug & Tests
 
 ```bash
-make debug
-make test
+make init # Install dependencies
+make debug # Build the debug version
+make test # Run the tests
 ```
 
 ### Coverage
 
 ```bash
-make coverage
-make viewcoverage
+make coverage # Run the tests with coverage
+make viewcoverage # View the coverage report in the browser
 ```
 
 ### Sample app

sample/CMakeLists.txt

@@ -4,24 +4,19 @@ project(bayesnet_sample)
 
 set(CMAKE_CXX_STANDARD 17)
 
-find_package(Torch REQUIRED)
-find_library(BayesNet NAMES libBayesNet BayesNet libBayesNet.a  REQUIRED)
-find_path(Bayesnet_INCLUDE_DIRS REQUIRED NAMES bayesnet)
-find_library(FImdlp NAMES libfimdlp.a  PATHS REQUIRED)
-
-message(STATUS "FImdlp=${FImdlp}")
-message(STATUS "FImdlp_INCLUDE_DIRS=${FImdlp_INCLUDE_DIRS}")
-message(STATUS "BayesNet=${BayesNet}")
-message(STATUS "Bayesnet_INCLUDE_DIRS=${Bayesnet_INCLUDE_DIRS}")
-
-include_directories(
-    ../tests/lib/Files
-    lib/json/include
-    /usr/local/include
-    /usr/local/include/fimdlp/
-)
+find_package(Torch CONFIG REQUIRED)
+find_package(bayesnet CONFIG REQUIRED)
+find_package(fimdlp CONFIG REQUIRED)
+find_package(folding CONFIG REQUIRED)
+find_package(arff-files CONFIG REQUIRED)
+find_package(nlohman_json CONFIG REQUIRED)
 
 add_executable(bayesnet_sample sample.cc) 
-target_link_libraries(bayesnet_sample ${FImdlp} "${TORCH_LIBRARIES}" "${BayesNet}")
-add_executable(bayesnet_sample_xspode sample_xspode.cc) 
-target_link_libraries(bayesnet_sample_xspode ${FImdlp} "${TORCH_LIBRARIES}" "${BayesNet}")
+target_link_libraries(bayesnet_sample PRIVATE 
+    fimdlp::fimdlp 
+    arff-files::arff-files 
+    "${TORCH_LIBRARIES}" 
+    bayesnet::bayesnet 
+    nlohmann_json::nlohmann_json
+    folding::folding
+)

sample/vcpkg-configuration.json

@@ -0,0 +1,21 @@
+{
+    "registries": [
+        {
+            "kind": "git",
+            "repository": "https://github.com/rmontanana/vcpkg-stash",
+            "baseline": "393efa4e74e053b6f02c4ab03738c8fe796b28e5",
+            "packages": [
+                "folding",
+                "bayesnet",
+                "arff-files",
+                "fimdlp",
+                "libtorch-bin"
+            ]
+        }
+    ],
+    "default-registry": {
+        "kind": "git",
+        "repository": "https://github.com/microsoft/vcpkg",
+        "baseline": "760bfd0c8d7c89ec640aec4df89418b7c2745605"
+    }
+}

sample/vcpkg.json

@@ -0,0 +1,12 @@
+{
+    "name": "sample-project",
+    "version-string": "0.1.0",
+    "dependencies": [
+        "bayesnet",
+        "folding",
+        "arff-files",
+        "fimdlp",
+        "nlohmann-json",
+        "libtorch-bin"
+    ]
+}