main/cpp/LargestGap_8hpp_source.html

#pragma once


#include "models/strategies/binarize/Binarization.hpp"

#include "models/strategies/Strategy.hpp"

#include "utils/Types.hpp"


namespace ppforest2::binarize {


  class LargestGap : public Binarization {

  public:

    static Binarization::Ptr from_json(nlohmann::json const& j);


    nlohmann::json to_json() const override;

    std::string display_name() const override { return "Largest gap"; }

    std::set<types::Mode> supported_modes() const override { return {types::Mode::Classification}; }


    PPFOREST2_REGISTER_STRATEGY(Binarization, "largest_gap")


  protected:

    void compute(NodeContext& ctx, stats::RNG& rng) const override;

  };


}

Binarization.hpp

Strategy.hpp

PPFOREST2_REGISTER_STRATEGY
#define PPFOREST2_REGISTER_STRATEGY(StrategyBase, name)
Auto-registration macro for strategy factories.
Definition Strategy.hpp:185

Types.hpp

Strategy< Binarization >::Ptr
std::shared_ptr< Binarization > Ptr
Definition Strategy.hpp:95

ppforest2::binarize::Binarization
Abstract strategy for multiclass-to-binary reduction.
Definition Binarization.hpp:24

ppforest2::binarize::LargestGap
Binarization by largest gap between sorted projected group means.
Definition LargestGap.hpp:16

ppforest2::binarize::LargestGap::compute
void compute(NodeContext &ctx, stats::RNG &rng) const override
Subclass implementation of binarization.

ppforest2::binarize::LargestGap::from_json
static Binarization::Ptr from_json(nlohmann::json const &j)

ppforest2::binarize::LargestGap::display_name
std::string display_name() const override
Human-readable name for display in summaries.
Definition LargestGap.hpp:21

ppforest2::binarize::LargestGap::supported_modes
std::set< types::Mode > supported_modes() const override
Training modes this strategy supports.
Definition LargestGap.hpp:22

ppforest2::binarize::LargestGap::to_json
nlohmann::json to_json() const override
Serialize this strategy's configuration to JSON.

ppforest2::binarize
Definition Binarization.hpp:18

ppforest2::stats
Statistical infrastructure for training and evaluation.
Definition ConfusionMatrix.hpp:11

ppforest2::types::Mode::Classification
@ Classification
Definition Types.hpp:58

ppforest2::NodeContext
Mutable context accumulating intermediate results during node training.
Definition NodeContext.hpp:20