main/cpp/PPStrategy_8hpp_source.html

#pragma once


#include "models/Projector.hpp"

#include "models/Strategy.hpp"

#include "stats/GroupPartition.hpp"


namespace ppforest2::pp {


  struct PPResult {

    Projector projector;

    types::Feature index_value = 0;

  };


  struct PPStrategy : public Strategy<PPStrategy> {

    virtual types::Feature

    index(types::FeatureMatrix const& x, stats::GroupPartition const& group_spec, Projector const& projector) const = 0;


    virtual PPResult optimize(types::FeatureMatrix const& x, stats::GroupPartition const& group_spec) const = 0;


    Projector operator()(types::FeatureMatrix const& x, stats::GroupPartition const& group_spec) const {

      return optimize(x, group_spec).projector;

    }


  };


}

GroupPartition.hpp

Projector.hpp

Strategy.hpp

ppforest2::stats::GroupPartition
Contiguous-block representation of grouped observations.
Definition GroupPartition.hpp:42

ppforest2::pp
Projection pursuit strategies.
Definition PPPDAStrategy.hpp:8

ppforest2::pp::Projector
types::FeatureVector Projector
Column vector of projection coefficients (one per variable).
Definition Projector.hpp:6

ppforest2::types::FeatureMatrix
Eigen::Matrix< Feature, Eigen::Dynamic, Eigen::Dynamic > FeatureMatrix
Dynamic-size matrix of feature values.
Definition Types.hpp:24

ppforest2::types::Feature
float Feature
Scalar type for feature values (float or double).
Definition Types.hpp:17

Strategy
CRTP base class providing self-registration for strategy types.
Definition Strategy.hpp:23

ppforest2::pp::PPResult
Result of a projection pursuit optimization step.
Definition PPStrategy.hpp:21

ppforest2::pp::PPResult::index_value
types::Feature index_value
Projection pursuit index value achieved.
Definition PPStrategy.hpp:25

ppforest2::pp::PPResult::projector
Projector projector
Optimized projection vector.
Definition PPStrategy.hpp:23

ppforest2::pp::PPStrategy
Abstract strategy for projection pursuit optimization.
Definition PPStrategy.hpp:37

ppforest2::pp::PPStrategy::index
virtual types::Feature index(types::FeatureMatrix const &x, stats::GroupPartition const &group_spec, Projector const &projector) const =0
Evaluate the projection pursuit index for a given projector.

ppforest2::pp::PPStrategy::operator()
Projector operator()(types::FeatureMatrix const &x, stats::GroupPartition const &group_spec) const
Convenience operator: optimize and return the projector only.
Definition PPStrategy.hpp:61

ppforest2::pp::PPStrategy::optimize
virtual PPResult optimize(types::FeatureMatrix const &x, stats::GroupPartition const &group_spec) const =0
Find the optimal projection for the data.