org.rosuda.klimt
Class SNode

java.lang.Object
  org.rosuda.util.Node
      org.rosuda.klimt.SNode

All Implemented Interfaces:

java.lang.Cloneable

public class SNode
extends Node
implements java.lang.Cloneable

Statistical Node class. It's used for storing statistical information in tree nodes.

Version:

$Id: SNode.java 945 2004-07-02 17:48:53Z urbaneks $

Field Summary

int	Cases # of cases
java.lang.String	Cond splitting condition as string
int	cx position of the node and its geometry (replaces former x,y,x2,y2)
int	cy position of the node and its geometry (replaces former x,y,x2,y2)
int[]	data list of indices of the data used in this node
double	devGain deviation gain by this split
double	F1 deviation (or Gini-index) of this node
int	height position of the node and its geometry (replaces former x,y,x2,y2)
int	id id of the node
java.awt.Rectangle	labelR label rectangle
java.lang.String	Name name of tha class assigned to this node
boolean	overflowWarning overflow warning - if true then the node is bigger than its display representation
double	predValD predicted value (for regr. trees)
double	sampleDev deviance in this node based on the sample
double	sampleDevGain deviance gain based on the sample
int	sel selector (0=not sel, 1=selected node, 2=leaf of sel. category, 3=non-leaf of selected category
int	splitComp split compare type (-1/0/1)
int	splitIndex index of the split variable
java.lang.String	splitVal value of the split condition as string
double	splitValF value of the split condition as string
SVar	splitVar object of the splitting variable
int	tmp user definable temporary variable
boolean	underflowWarning underflow warning - if true then the node is displayed bigger than it should be
java.util.Vector	V values (percentage of each class)
int	width position of the node and its geometry (replaces former x,y,x2,y2)

Fields inherited from class org.rosuda.util.Node

ch, level, par

Constructor Summary

SNode()
default constructor

SNode(Node t)
constructs a new root node as the parent of a subtree

Method Summary

void	calculateSampleDeviances() calculates deviance and deviance gain based on the sample stored in data. note that this deviance may be different from the F1/devGain if the tree was based on another sample
int	getBinaryID() returns the ID of this node in a binary tree (root=1) or -1 if the tree is not a binary tree
java.lang.String	getFormula()
RootInfo	getRootInfo() returns root information associated with this tree
SVarSet	getSource() returns data source
boolean	isPruned() gets pruned flag
void	passDownData(SNode ct) pass data from node ct down to this node according to the conditions in this node
void	printTree(java.lang.String prefix) print the tree on System.out (mainly for debugging purposes)
void	setAllTmp(int v) sets temporary custom variable of the entire subtree to v
void	setFormula(java.lang.String form)
void	setPrune(boolean ps) set prune flag for this node and all children
void	setSource(SVarSet src) sets data source
java.lang.String	toString() returns basic string representation of this node (suitable for debugging only)

Methods inherited from class org.rosuda.util.Node

add, at, children, count, getAllNodes, getChildren, getHeight, getLevel, getNodesAtLevel, getNumNodes, getParent, getRoot, isLeaf, isRoot, prune, rebuildHeight, rebuildLevels, remove

Methods inherited from class java.lang.Object

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

Field Detail

data

public int[] data

list of indices of the data used in this node

Cond

public java.lang.String Cond

splitting condition as string

Cases

public int Cases

# of cases

F1

public double F1

deviation (or Gini-index) of this node

devGain

public double devGain

deviation gain by this split

Name

public java.lang.String Name

name of tha class assigned to this node

predValD

public double predValD

predicted value (for regr. trees)

V

public java.util.Vector V

values (percentage of each class)

id

public int id

id of the node

sampleDev

public double sampleDev

deviance in this node based on the sample

sampleDevGain

public double sampleDevGain

deviance gain based on the sample

cx

public int cx

position of the node and its geometry (replaces former x,y,x2,y2)

cy

public int cy

position of the node and its geometry (replaces former x,y,x2,y2)

width

public int width

position of the node and its geometry (replaces former x,y,x2,y2)

height

public int height

position of the node and its geometry (replaces former x,y,x2,y2)

underflowWarning

public boolean underflowWarning

underflow warning - if true then the node is displayed bigger than it should be

overflowWarning

public boolean overflowWarning

overflow warning - if true then the node is bigger than its display representation

sel

public int sel

selector (0=not sel, 1=selected node, 2=leaf of sel. category, 3=non-leaf of selected category

splitIndex

public int splitIndex

index of the split variable

splitVar

public SVar splitVar

object of the splitting variable

splitComp

public int splitComp

split compare type (-1/0/1)

splitVal

public java.lang.String splitVal

value of the split condition as string

splitValF

public double splitValF

value of the split condition as string

labelR

public java.awt.Rectangle labelR

label rectangle

tmp

public int tmp

user definable temporary variable

Constructor Detail

SNode

public SNode()

default constructor

SNode

public SNode(Node t)

constructs a new root node as the parent of a subtree

Parameters:

t - subtree

Method Detail

setSource

public void setSource(SVarSet src)

sets data source

Parameters:

src - data source

getRootInfo

public RootInfo getRootInfo()

returns root information associated with this tree

Returns:

root information

setFormula

public void setFormula(java.lang.String form)

getFormula

public java.lang.String getFormula()

getSource

public SVarSet getSource()

returns data source

Returns:

data source

setPrune

public void setPrune(boolean ps)

set prune flag for this node and all children

Parameters:

ps - prune state to be set

isPruned

public boolean isPruned()

gets pruned flag

Returns:

pruned flag

printTree

public void printTree(java.lang.String prefix)

print the tree on System.out (mainly for debugging purposes)

Parameters:

prefix - text to be printed before each line of output

setAllTmp

public void setAllTmp(int v)

sets temporary custom variable of the entire subtree to v

calculateSampleDeviances

public void calculateSampleDeviances()

calculates deviance and deviance gain based on the sample stored in data. note that this deviance may be different from the F1/devGain if the tree was based on another sample

getBinaryID

public int getBinaryID()

returns the ID of this node in a binary tree (root=1) or -1 if the tree is not a binary tree

passDownData

public void passDownData(SNode ct)

pass data from node ct down to this node according to the conditions in this node

toString

public java.lang.String toString()

returns basic string representation of this node (suitable for debugging only)

Overrides:

toString in class java.lang.Object

Returns:

string representation of the contained data