main/cpp/MeanOfMeans_8hpp_source.html

#pragma once


#include "models/strategies/cutpoint/Cutpoint.hpp"

#include "models/strategies/Strategy.hpp"

#include "utils/Types.hpp"


namespace ppforest2::cutpoint {


  class MeanOfMeans : public Cutpoint {

  public:

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


    nlohmann::json to_json() const override;

    std::string display_name() const override { return "Mean of means"; }


    std::set<types::Mode> supported_modes() const override {

      return {types::Mode::Classification, types::Mode::Regression};

    }


    PPFOREST2_REGISTER_STRATEGY(Cutpoint, "mean_of_means")


  protected:

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

  };


}

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

ppforest2::cutpoint::Cutpoint
Abstract strategy for computing the split cutpoint.
Definition Cutpoint.hpp:23

ppforest2::cutpoint::MeanOfMeans
Split cutpoint as the mean of two group means.
Definition MeanOfMeans.hpp:15

ppforest2::cutpoint::MeanOfMeans::supported_modes
std::set< types::Mode > supported_modes() const override
Training modes this strategy supports.
Definition MeanOfMeans.hpp:21

ppforest2::cutpoint::MeanOfMeans::compute
void compute(NodeContext &ctx, stats::RNG &rng) const override
Subclass implementation of cutpoint computation.

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

ppforest2::cutpoint::MeanOfMeans::display_name
std::string display_name() const override
Human-readable name for display in summaries.
Definition MeanOfMeans.hpp:20

ppforest2::cutpoint::MeanOfMeans::from_json
static Cutpoint::Ptr from_json(nlohmann::json const &j)

ppforest2::cutpoint
Definition Cutpoint.hpp:17

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

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

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

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