Package edu.cmu.tetrad.sem

Class SemOptimizerRegression

java.lang.Object

edu.cmu.tetrad.sem.SemOptimizerRegression

All Implemented Interfaces:

SemOptimizer, TetradSerializable, Serializable

public class SemOptimizerRegression
extends Object
implements SemOptimizer

Optimizes a DAG SEM by regressing each varaible onto its parents using a linear regression.

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
SemOptimizerRegression()	Blank constructor.

Method Summary

Modifier and Type	Method	Description
int	getNumRestarts()
void	optimize(SemIm semIm)	Fit the freeParameters by doing local regressions.
static SemOptimizerRegression	serializableInstance()	Generates a simple exemplar of this class to test serialization.
void	setNumRestarts(int numRestarts)
String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Details

SemOptimizerRegression

public SemOptimizerRegression()

Blank constructor.

Method Details

serializableInstance

public static SemOptimizerRegression serializableInstance()

Generates a simple exemplar of this class to test serialization.

optimize

public void optimize(SemIm semIm)

Fit the freeParameters by doing local regressions.

Specified by:

optimize in interface SemOptimizer

Parameters:

semIm - The unoptimized Sem (will be optimized).

getNumRestarts

public int getNumRestarts()

Specified by:

getNumRestarts in interface SemOptimizer

setNumRestarts

public void setNumRestarts(int numRestarts)

Specified by:

setNumRestarts in interface SemOptimizer

toString

public String toString()

Overrides:

toString in class Object