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
regressionregression data structure

Definition at line 254 of file misc.c.

References SCIP_Regression::nobservations, and NULL.

Referenced by getCurrentRegressionTangentAxisIntercept().

◆ SCIPregressionGetSlope()

SCIP_Real SCIPregressionGetSlope ( SCIP_REGRESSION regression)

return the current slope of the regression

Parameters
regressionregression data structure

Definition at line 264 of file misc.c.

References NULL, and SCIP_Regression::slope.

Referenced by getCurrentRegressionTangentAxisIntercept().

◆ SCIPregressionGetIntercept()

SCIP_Real SCIPregressionGetIntercept ( SCIP_REGRESSION regression)

get the current y-intercept of the regression

Parameters
regressionregression data structure

Definition at line 274 of file misc.c.

References SCIP_Regression::intercept, and NULL.

Referenced by getCurrentRegressionTangentAxisIntercept().

◆ SCIPregressionRemoveObservation()

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

removes an observation (x,y) from the regression

Parameters
regressionregression data structure
xX of observation
yY of the observation

Definition at line 349 of file misc.c.

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

Referenced by updateLogRegression().

◆ SCIPregressionAddObservation()

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

update regression by a new observation (x,y)

Parameters
regressionregression data structure
xX of observation
yY of the observation

Definition at line 381 of file misc.c.

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

Referenced by solveNode(), and updateLogRegression().

◆ SCIPregressionReset()

◆ SCIPregressionCreate()

SCIP_RETCODE SCIPregressionCreate ( SCIP_REGRESSION **  regression)

creates and resets a regression

Parameters
regressionregression data structure

Definition at line 416 of file misc.c.

References BMSallocMemory, NULL, 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
regressionregression data structure

Definition at line 432 of file misc.c.

References BMSfreeMemory.

Referenced by SCIP_DECL_EVENTFREE(), and SCIPstatFree().