Add tests to reach 90% coverage

This commit is contained in:
2024-04-08 00:13:59 +02:00
parent 46cb8d30eb
commit 0d6a081d01
13 changed files with 424 additions and 56 deletions

View File

@@ -9,12 +9,12 @@ namespace bayesnet {
, classNumStates(classNumStates)
{
}
//samples is nxm std::vector used to fit the model
//samples is n+1xm std::vector used to fit the model
Metrics::Metrics(const std::vector<std::vector<int>>& vsamples, const std::vector<int>& labels, const std::vector<std::string>& features, const std::string& className, const int classNumStates)
: features(features)
, className(className)
, classNumStates(classNumStates)
, samples(torch::zeros({ static_cast<int>(vsamples[0].size()), static_cast<int>(vsamples.size() + 1) }, torch::kInt32))
, samples(torch::zeros({ static_cast<int>(vsamples.size() + 1), static_cast<int>(vsamples[0].size()) }, torch::kInt32))
{
for (int i = 0; i < vsamples.size(); ++i) {
samples.index_put_({ i, "..." }, torch::tensor(vsamples[i], torch::kInt32));