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.
Version:
$Id: $Id
Author:
josephramsey
See Also:

  • Constructor Details

    • SemOptimizerRegression

      public SemOptimizerRegression()
      Blank constructor.

  • Method Details

    • serializableInstance

      public static SemOptimizerRegression serializableInstance()
      Generates a simple exemplar of this class to test serialization.
      Returns:
      a SemOptimizerRegression object

    • optimize

      public void optimize(SemIm semIm)
      Optimizes the given Sem object by estimating parameter values using the sample covariance matrix.
      Specified by:
      optimize in interface SemOptimizer
      Parameters:
      semIm - The unoptimized Sem (will be optimized).
      Throws:
      IllegalArgumentException - if the number of restarts is not 1.
      NullPointerException - if the sample covariance matrix has not been set.

    • getNumRestarts

      public int getNumRestarts()
      Retrieves the number of restarts used during optimization.
      Specified by:
      getNumRestarts in interface SemOptimizer
      Returns:
      The number of restarts as an integer.

    • setNumRestarts

      public void setNumRestarts(int numRestarts)
      Sets the number of restarts used during optimization.
      Specified by:
      setNumRestarts in interface SemOptimizer
      Parameters:
      numRestarts - The number of restarts as an integer.

    • toString

      public String toString()

      toString.

      Overrides:
      toString in class Object
      Returns:
      a String object