33 lines
1.3 KiB
C++
33 lines
1.3 KiB
C++
#ifndef BOOSTAODE_H
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#define BOOSTAODE_H
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#include "Ensemble.h"
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#include <map>
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#include "SPODE.h"
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#include "FeatureSelect.h"
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namespace bayesnet {
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class BoostAODE : public Ensemble {
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public:
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BoostAODE();
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virtual ~BoostAODE() = default;
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std::vector<std::string> graph(const std::string& title = "BoostAODE") const override;
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void setHyperparameters(const nlohmann::json& hyperparameters) override;
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protected:
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void buildModel(const torch::Tensor& weights) override;
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void trainModel(const torch::Tensor& weights) override;
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private:
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torch::Tensor dataset_;
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torch::Tensor X_train, y_train, X_test, y_test;
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std::unordered_set<int> initializeModels();
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// Hyperparameters
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bool repeatSparent = false; // if true, a feature can be selected more than once
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int maxModels = 0;
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int tolerance = 0;
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bool ascending = false; //Process KBest features ascending or descending order
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bool convergence = false; //if true, stop when the model does not improve
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bool selectFeatures = false; // if true, use feature selection
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std::string algorithm = ""; // Selected feature selection algorithm
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FeatureSelect* featureSelector = nullptr;
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double threshold = -1;
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};
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}
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#endif |