DecisionTree _tree; // Current decision tree.
#endregion Fields
#region Constructors
/**
* Prepares to run the decision tree algorithm by
* creating an empty decision tree.
*
* <p>
* The default splitting function is set to "Random".
*
* @param dataset A Dataset object that is already initialized.
*
* @throws NullPointerException If the supplied Dataset or
* ComponentManager is null.
*/
public DecisionTreeAlgorithm(Dataset dataset)
{
//super();
if (dataset == null)
throw new Exception("Dataset is null.");
//_manager = manager;
DatasetUse = dataset;
SplitFun = SPLIT_RANDOM;
PruneAlg = PRUNING_NONE;
RandomGenerator = new Random(2389);
Tree = new DecisionTree();
PessPruneZScore = DEFAULT_Z_SCORE;
// Viết thêm
ListRules = new DecisionTreeRule();
}
/**
* Resets the algorithm, destroying the current
* tree. The dataset used to build the tree
* remains unchanged.
*/
public void reset()
{
Tree = new DecisionTree();
}
