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Update sample to last library version

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This commit is contained in:
Ricardo Montañana Gómez
2024-08-31 12:41:11 +02:00
parent d72943c749
commit 8372987dae
3 changed files with 8 additions and 8 deletions
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7
Makefile
View File

@@ -6,7 +6,6 @@ f_release = build_release
f_debug = build_debug
app_targets = b_best b_list b_main b_manage b_grid
test_targets = unit_tests_platform
n_procs = -j 16
define ClearTests
@for t in $(test_targets); do \
@@ -56,10 +55,10 @@ dependency: ## Create a dependency graph diagram of the project (build/dependenc
cd $(f_debug) && cmake .. --graphviz=dependency.dot && dot -Tpng dependency.dot -o dependency.png
buildd: ## Build the debug targets
cmake --build $(f_debug) -t $(app_targets) PlatformSample $(n_procs)
cmake --build $(f_debug) -t $(app_targets) PlatformSample --parallel
buildr: ## Build the release targets
cmake --build $(f_release) -t $(app_targets) $(n_procs)
cmake --build $(f_release) -t $(app_targets) --parallel
clean: ## Clean the tests info
@echo ">>> Cleaning Debug Platform tests...";
@@ -87,7 +86,7 @@ opt = ""
test: ## Run tests (opt="-s") to verbose output the tests, (opt="-c='Test Maximum Spanning Tree'") to run only that section
@echo ">>> Running Platform tests...";
@$(MAKE) clean
@cmake --build $(f_debug) -t $(test_targets) $(n_procs)
@cmake --build $(f_debug) -t $(test_targets) --parallel
@for t in $(test_targets); do \
if [ -f $(f_debug)/tests/$$t ]; then \
cd $(f_debug)/tests ; \

2
sample/CMakeLists.txt
View File

@@ -3,7 +3,7 @@ include_directories(
${Platform_SOURCE_DIR}/src/main
${Python3_INCLUDE_DIRS}
${Platform_SOURCE_DIR}/lib/Files
${Platform_SOURCE_DIR}/lib/mdlp
${Platform_SOURCE_DIR}/lib/mdlp/src
${Platform_SOURCE_DIR}/lib/argparse/include
${Platform_SOURCE_DIR}/lib/folding
${Platform_SOURCE_DIR}/lib/json/include

7
sample/sample.cpp
View File

@@ -161,7 +161,8 @@ int main(int argc, char** argv)
}
states[className] = std::vector<int>(maxes[className]);
auto clf = platform::Models::instance()->create(model_name);
clf->fit(Xd, y, features, className, states);
bayesnet::Smoothing_t smoothing = bayesnet::Smoothing_t::ORIGINAL;
clf->fit(Xd, y, features, className, states, smoothing);
if (dump_cpt) {
std::cout << "--- CPT Tables ---" << std::endl;
clf->dump_cpt();
@@ -210,14 +211,14 @@ int main(int argc, char** argv)
torch::Tensor ytraint = yt.index({ ttrain });
torch::Tensor Xtestt = torch::index_select(Xt, 1, ttest);
torch::Tensor ytestt = yt.index({ ttest });
clf->fit(Xtraint, ytraint, features, className, states);
clf->fit(Xtraint, ytraint, features, className, states, smoothing);
auto temp = clf->predict(Xtraint);
score_train = clf->score(Xtraint, ytraint);
score_test = clf->score(Xtestt, ytestt);
} else {
auto [Xtrain, ytrain] = extract_indices(train, Xd, y);
auto [Xtest, ytest] = extract_indices(test, Xd, y);
clf->fit(Xtrain, ytrain, features, className, states);
clf->fit(Xtrain, ytrain, features, className, states, smoothing);
std::cout << "Nodes: " << clf->getNumberOfNodes() << std::endl;
nodes += clf->getNumberOfNodes();
score_train = clf->score(Xtrain, ytrain);