/// <summary>
/// Construct a Bayesian trainer.
/// </summary>
/// <param name="theNetwork">The network to train.</param>
/// <param name="theData">The data to train with.</param>
/// <param name="theMaximumParents">The maximum number of parents.</param>
/// <param name="theInit">How to init the new Bayes network.</param>
/// <param name="theSearch">The search method.</param>
/// <param name="theEstimator">The estimation mehod.</param>
public TrainBayesian(BayesianNetwork theNetwork, IMLDataSet theData,
int theMaximumParents, BayesianInit theInit, IBayesSearch theSearch,
IBayesEstimator theEstimator)
: base(TrainingImplementationType.Iterative)
{
_network = theNetwork;
_data = theData;
_maximumParents = theMaximumParents;
_search = theSearch;
_search.Init(this, theNetwork, theData);
_estimator = theEstimator;
_estimator.Init(this, theNetwork, theData);
_initNetwork = theInit;
Error = 1.0;
}
/// <summary>
/// Construct a Bayesian trainer.
/// </summary>
/// <param name="theNetwork">The network to train.</param>
/// <param name="theData">The data to train with.</param>
/// <param name="theMaximumParents">The maximum number of parents.</param>
/// <param name="theInit">How to init the new Bayes network.</param>
/// <param name="theSearch">The search method.</param>
/// <param name="theEstimator">The estimation mehod.</param>
public TrainBayesian(BayesianNetwork theNetwork, IMLDataSet theData,
int theMaximumParents, BayesianInit theInit, IBayesSearch theSearch,
IBayesEstimator theEstimator)
: base(TrainingImplementationType.Iterative)
{
_network = theNetwork;
_data = theData;
_maximumParents = theMaximumParents;
_search = theSearch;
_search.Init(this, theNetwork, theData);
_estimator = theEstimator;
_estimator.Init(this, theNetwork, theData);
_initNetwork = theInit;
Error = 1.0;
}