com.imsl.datamining.decisionTree

Interface DecisionTreeSurrogateMethod

All Superinterfaces:

Serializable

All Known Implementing Classes:

ALACART

public interface DecisionTreeSurrogateMethod
extends Serializable

Methods to account for missing values in predictor variables. These methods are used by objects that extend the DecisionTree abstract class and implement the DecisionTreeSurrogateMethod interface. When predicting a new observation, if the value of the split variable is missing, the prediction function uses surrogate split variables and associated rules, in order of selection. If none can be applied because of continued missing values, the prediction will be missing.

Method Summary

Methods

Modifier and Type	Method and Description
void	addSurrogates(Tree tree, double[] surrogateInfo) Adds the surrogate information to the tree.
int	getNumberOfSurrogateSplits() Indicates the number of surrogate splits.
double[]	getSurrogateInfo() Returns the surrogate split information.
void	setNumberOfSurrogateSplits(int nSplits) Indicates the number of surrogate splits.

Method Detail

addSurrogates

void addSurrogates(Tree tree,
                 double[] surrogateInfo)

Adds the surrogate information to the tree.

Parameters:

tree - a Tree object, containing the decision tree structure

surrogateInfo - a double array containing the surrogate split information

getNumberOfSurrogateSplits

int getNumberOfSurrogateSplits()

Indicates the number of surrogate splits.

Returns:

an int specifying the number of surrogate splits

getSurrogateInfo

double[] getSurrogateInfo()

Returns the surrogate split information.

Returns:

a double array containing the surrogate split information

setNumberOfSurrogateSplits

void setNumberOfSurrogateSplits(int nSplits)

Indicates the number of surrogate splits.

Parameters:

nSplits - an int specifying the number of surrogate splits that should occur