slope::MaximizeScore Class Reference

Scoring metric that aims to maximize the score value. More...

#include <score.h>

Inheritance diagram for slope::MaximizeScore:

Collaboration diagram for slope::MaximizeScore:

Public Member Functions
bool	isWorse (double a, double b) const override
double	initValue () const override
Public Member Functions inherited from slope::Score
std::function< bool(double, double)>	getComparator () const
virtual double	eval (const Eigen::MatrixXd &eta, const Eigen::MatrixXd &y, const std::unique_ptr< Loss > &loss) const =0

Additional Inherited Members
Static Public Member Functions inherited from slope::Score
static std::unique_ptr< Score >	create (const std::string &metric)

Detailed Description

Scoring metric that aims to maximize the score value.

This class implements a scoring metric where higher values indicate better performance (e.g., R², AUC-ROC, accuracy). It overrides the base Score class comparison methods to establish that lower values are worse.

Definition at line 128 of file score.h.

Member Function Documentation

initValue()

double slope::MaximizeScore::initValue ( ) const

overridevirtual

Returns the initial value for maximization metrics.

Returns

Negative infinity as the worst possible score

Implements slope::Score.

Definition at line 121 of file score.cpp.

isWorse()

bool slope::MaximizeScore::isWorse ( double  a, double  b  ) const

overridevirtual

Determines if score a is worse than score b.

Parameters

a	First score to compare
b	Second score to compare

Returns

true if a < b (lower values are worse)

Implements slope::Score.

Definition at line 115 of file score.cpp.

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The documentation for this class was generated from the following files:

• src/slope/score.h
• src/slope/score.cpp