ppforest2::pp::PPPDAStrategy Struct Reference

Penalized Discriminant Analysis projection pursuit strategy. More...

#include <PPPDAStrategy.hpp>

Public Member Functions
	PPPDAStrategy (float lambda)
std::string	display_name () const override
	Human-readable name for display in summaries.
types::Feature	index (types::FeatureMatrix const &x, stats::GroupPartition const &group_spec, Projector const &projector) const override
	Evaluate the projection pursuit index for a given projector.
PPResult	optimize (types::FeatureMatrix const &x, stats::GroupPartition const &group_spec) const override
	Find the optimal projection for the data.
void	to_json (nlohmann::json &j) const override
	Serialize this strategy's configuration to JSON.
Public Member Functions inherited from ppforest2::pp::PPStrategy
Projector	operator() (types::FeatureMatrix const &x, stats::GroupPartition const &group_spec) const
	Convenience operator: optimize and return the projector only.
Public Member Functions inherited from Strategy< PPStrategy >
virtual	~Strategy ()=default

Static Public Member Functions
static PPStrategy::Ptr	from_json (nlohmann::json const &j)
Static Public Member Functions inherited from Strategy< PPStrategy >
static Ptr	from_json (nlohmann::json const &j)
	Construct a strategy from its JSON representation.
static bool	register_strategy (std::string const &name, Factory factory)
	Register a concrete strategy for JSON deserialization.

Additional Inherited Members
Public Types inherited from Strategy< PPStrategy >
using	Factory
	Factory function type for deserializing a strategy from JSON.
using	Ptr

Detailed Description

Penalized Discriminant Analysis projection pursuit strategy.

Optimizes a linear discriminant projection using a penalized between-group / within-group variance ratio. The lambda parameter controls the penalty strength in the LDA index.

Constructor & Destructor Documentation

PPPDAStrategy()

ppforest2::pp::PPPDAStrategy::PPPDAStrategy ( float lambda )

explicit

Member Function Documentation

display_name()

std::string ppforest2::pp::PPPDAStrategy::display_name ( ) const

inlineoverridevirtual

Human-readable name for display in summaries.

Implements Strategy< PPStrategy >.

from_json()

static PPStrategy::Ptr ppforest2::pp::PPPDAStrategy::from_json ( nlohmann::json const & j )

static

index()

types::Feature ppforest2::pp::PPPDAStrategy::index ( types::FeatureMatrix const & x, stats::GroupPartition const & group_spec, Projector const & projector ) const

overridevirtual

Evaluate the projection pursuit index for a given projector.

Parameters

x	Feature matrix (n × p).
group_spec	Group partition.
projector	Projection vector (p).

Returns

Index value (higher is better separation).

Implements ppforest2::pp::PPStrategy.

optimize()

PPResult ppforest2::pp::PPPDAStrategy::optimize ( types::FeatureMatrix const & x, stats::GroupPartition const & group_spec ) const

overridevirtual

Find the optimal projection for the data.

Parameters

x	Feature matrix (n × p).
group_spec	Group partition.

Returns

Optimized projector and its index value.

Implements ppforest2::pp::PPStrategy.

to_json()

void ppforest2::pp::PPPDAStrategy::to_json ( nlohmann::json & j ) const

overridevirtual

Serialize this strategy's configuration to JSON.

Must include a "name" field identifying the strategy type, plus any strategy-specific parameters.

Parameters

j	JSON object to populate.

Implements Strategy< PPStrategy >.

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The documentation for this struct was generated from the following file:

• core/src/models/PPPDAStrategy.hpp