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Complete implementation with tests

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This commit is contained in:
Ricardo Montañana Gómez
2025-07-08 11:42:20 +02:00
parent 2c7352ac38
commit ed380b1494
13 changed files with 255 additions and 170 deletions
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9
bayesnet/classifiers/KDBLd.h
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@@ -15,8 +15,15 @@ namespace bayesnet {
explicit KDBLd(int k);
virtual ~KDBLd() = default;
KDBLd& fit(torch::Tensor& X, torch::Tensor& y, const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states, const Smoothing_t smoothing) override;
KDBLd& fit(torch::Tensor& dataset, const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states, const Smoothing_t smoothing) override;
KDBLd& commonFit(const std::vector<std::string>& features, const std::string& className, map<std::string, std::vector<int>>& states, const Smoothing_t smoothing);
std::vector<std::string> graph(const std::string& name = "KDB") const override;
void setHyperparameters(const nlohmann::json& hyperparameters_) override;
void setHyperparameters(const nlohmann::json& hyperparameters_) override
{
auto hyperparameters = hyperparameters_;
Proposal::setHyperparameters(hyperparameters);
KDB::setHyperparameters(hyperparameters);
}
torch::Tensor predict(torch::Tensor& X) override;
torch::Tensor predict_proba(torch::Tensor& X) override;
static inline std::string version() { return "0.0.1"; };