#include <OpenMS/ANALYSIS/OPENSWATH/MRMFeatureSelector.h>

Collaboration diagram for MRMFeatureSelector::SelectorParameters:

Public Member Functions
	SelectorParameters ()=default

	SelectorParameters (Int nn, bool lw, bool stg, Int swl, Int ssl, MRMFeatureSelector::VariableType vt, double ot, std::map< String, MRMFeatureSelector::LambdaScore > &sw)

Public Attributes
Int	nn_threshold = 4
	Nearest neighbor threshold: the number of components or component groups to the left and right to include in the optimization problem (i.e. number of nearest compounds by Tr to include in network) More...

bool	locality_weight = false
	Weight compounds with a nearer Tr greater than compounds with a further Tr. More...

bool	select_transition_group = true
	Use components groups instead of components for retention time optimization. More...

Int	segment_window_length = 8
	Number of components or component groups to include in the network. More...

Int	segment_step_length = 4
	Number of of components or component groups to shift the `segment_window_length` at each loop. More...

MRMFeatureSelector::VariableType	variable_type = MRMFeatureSelector::VariableType::CONTINUOUS
	INTEGER or CONTINUOUS. More...

double	optimal_threshold = 0.5
	Value above which the transition group or transition is considered optimal (0 < x < 1) More...

std::map< String, MRMFeatureSelector::LambdaScore >	score_weights
	Weights for the scores. More...

Detailed Description

Structure to easily feed the parameters to the `MRMFeatureSelector` derived classes

Constructor & Destructor Documentation

◆ SelectorParameters() [1/2]

SelectorParameters ( )

default

◆ SelectorParameters() [2/2]

SelectorParameters	(	Int	nn,
		bool	lw,
		bool	stg,
		Int	swl,
		Int	ssl,
		MRMFeatureSelector::VariableType	vt,
		double	ot,
		std::map< String, MRMFeatureSelector::LambdaScore > &	sw
	)

inline

Member Data Documentation

◆ locality_weight

bool locality_weight = false

Weight compounds with a nearer Tr greater than compounds with a further Tr.

◆ nn_threshold

Int nn_threshold = 4

Nearest neighbor threshold: the number of components or component groups to the left and right to include in the optimization problem (i.e. number of nearest compounds by Tr to include in network)

◆ optimal_threshold

double optimal_threshold = 0.5

Value above which the transition group or transition is considered optimal (0 < x < 1)

◆ score_weights

std::map<String, MRMFeatureSelector::LambdaScore> score_weights

Weights for the scores.

◆ segment_step_length

Int segment_step_length = 4

Number of of components or component groups to shift the `segment_window_length` at each loop.

◆ segment_window_length

Int segment_window_length = 8

Number of components or component groups to include in the network.

◆ select_transition_group

bool select_transition_group = true

Use components groups instead of components for retention time optimization.

◆ variable_type

MRMFeatureSelector::VariableType variable_type = MRMFeatureSelector::VariableType::CONTINUOUS

INTEGER or CONTINUOUS.

Public Member Functions

Public Attributes