Package edu.cmu.tetrad.bayes

Class MlBayesEstimator

java.lang.Object

edu.cmu.tetrad.bayes.MlBayesEstimator

public final class MlBayesEstimator
extends Object

Estimates parameters of the given Bayes net from the given data using maximum likelihood method.

Author:

Shane Harwood, Joseph Ramsey

Constructor Summary

Constructors

Constructor	Description
MlBayesEstimator()

Method Summary

Modifier and Type	Method	Description
BayesIm	estimate(BayesPm bayesPm, DataSet dataSet)	33 Estimates a Bayes IM using the variables, graph, and parameters in the given Bayes PM and the data columns in the given data set.

Methods inherited from class java.lang.Object

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

Constructor Details

MlBayesEstimator

public MlBayesEstimator()

Method Details

estimate

public BayesIm estimate(BayesPm bayesPm,
 DataSet dataSet)

33 Estimates a Bayes IM using the variables, graph, and parameters in the given Bayes PM and the data columns in the given data set. Each variable in the given Bayes PM must be equal to a variable in the given data set.