Scippy

SCIP

Solving Constraint Integer Programs

Detailed Description

methods for linear regression

Below are the public methods for incremental linear regression of observations pairs \((X_i,Y_i), i=1\dots,n\)

Functions
int	SCIPregressionGetNObservations (SCIP_REGRESSION *regression)

SCIP_Real	SCIPregressionGetSlope (SCIP_REGRESSION *regression)

SCIP_Real	SCIPregressionGetIntercept (SCIP_REGRESSION *regression)

void	SCIPregressionRemoveObservation (SCIP_REGRESSION *regression, SCIP_Real x, SCIP_Real y)

void	SCIPregressionAddObservation (SCIP_REGRESSION *regression, SCIP_Real x, SCIP_Real y)

void	SCIPregressionReset (SCIP_REGRESSION *regression)

SCIP_RETCODE	SCIPregressionCreate (SCIP_REGRESSION **regression)

void	SCIPregressionFree (SCIP_REGRESSION **regression)

Function Documentation

◆ SCIPregressionGetNObservations()

int SCIPregressionGetNObservations ( SCIP_REGRESSION * regression )

returns the number of observations of this regression

Parameters

regression regression data structure

Definition at line 242 of file misc.c.

References SCIP_Regression::nobservations.

Referenced by getCurrentRegressionTangentAxisIntercept().

◆ SCIPregressionGetSlope()

SCIP_Real SCIPregressionGetSlope ( SCIP_REGRESSION * regression )

return the current slope of the regression

Parameters

regression regression data structure

Definition at line 252 of file misc.c.

References SCIP_Regression::slope.

Referenced by getCurrentRegressionTangentAxisIntercept().

◆ SCIPregressionGetIntercept()

SCIP_Real SCIPregressionGetIntercept ( SCIP_REGRESSION * regression )

get the current y-intercept of the regression

Parameters

regression regression data structure

Definition at line 262 of file misc.c.

References SCIP_Regression::intercept.

Referenced by getCurrentRegressionTangentAxisIntercept().

◆ SCIPregressionRemoveObservation()

void SCIPregressionRemoveObservation	(	SCIP_REGRESSION *	regression,
		SCIP_Real	x,
		SCIP_Real	y
	)

removes an observation (x,y) from the regression

Parameters

regression	regression data structure
x	X of observation
y	Y of the observation

Definition at line 337 of file misc.c.

References FALSE, incrementalStatsUpdate(), SCIP_Regression::meanx, SCIP_Regression::meany, SCIP_Regression::nobservations, regressionRecompute(), SCIP_Bool, SCIPregressionReset(), SCIP_Regression::sumxy, SCIP_Regression::variancesumx, and SCIP_Regression::variancesumy.

Referenced by updateLogRegression().

◆ SCIPregressionAddObservation()

void SCIPregressionAddObservation	(	SCIP_REGRESSION *	regression,
		SCIP_Real	x,
		SCIP_Real	y
	)

update regression by a new observation (x,y)

Parameters

regression	regression data structure
x	X of observation
y	Y of the observation

Definition at line 369 of file misc.c.

References incrementalStatsUpdate(), SCIP_Regression::meanx, SCIP_Regression::meany, SCIP_Regression::nobservations, regressionRecompute(), SCIP_Bool, SCIP_Regression::sumxy, TRUE, SCIP_Regression::variancesumx, and SCIP_Regression::variancesumy.

Referenced by solveNode(), and updateLogRegression().

◆ SCIPregressionReset()

void SCIPregressionReset ( SCIP_REGRESSION * regression )

reset regression data structure

Parameters

regression regression data structure

Definition at line 388 of file misc.c.

References SCIP_Regression::corrcoef, SCIP_Regression::intercept, SCIP_Regression::meanx, SCIP_Regression::meany, SCIP_Regression::nobservations, SCIP_INVALID, SCIP_Regression::slope, SCIP_Regression::sumxy, SCIP_Regression::variancesumx, and SCIP_Regression::variancesumy.

Referenced by SCIP_DECL_EVENTINIT(), SCIPregressionCreate(), SCIPregressionRemoveObservation(), and SCIPstatResetCurrentRun().

◆ SCIPregressionCreate()

SCIP_RETCODE SCIPregressionCreate ( SCIP_REGRESSION ** regression )

creates and resets a regression

Parameters

regression regression data structure

Definition at line 404 of file misc.c.

References BMSallocMemory, SCIP_ALLOC, SCIP_OKAY, and SCIPregressionReset().

Referenced by SCIPincludeEventHdlrSolvingphase(), and SCIPstatCreate().

◆ SCIPregressionFree()

void SCIPregressionFree ( SCIP_REGRESSION ** regression )

frees a regression

creates and resets a regression

Parameters

regression regression data structure

Definition at line 420 of file misc.c.

References BMSfreeMemory.

Referenced by SCIP_DECL_EVENTFREE(), and SCIPstatFree().