org.openimaj.ml.clustering.rforest

Class RandomDecision

java.lang.Object

org.openimaj.ml.clustering.rforest.RandomDecision

public class RandomDecision
extends Object

A single decision node of a RandomForest tree. This decision holds the feature index and the threshold for that index.

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Field Summary

Fields

Modifier and Type	Field and Description
int	feature Feature index
int	threshold Feature threshold

Constructor Summary

Constructors

Constructor and Description
RandomDecision() Emtpy contructor provided to allow reading of the decision
RandomDecision(int featureLength, int[] minVal, int[] maxVal)
RandomDecision(int featureLength, int[] minVal, int[] maxVal, Random r)

Method Summary

Modifier and Type	Method and Description
RandomDecision	readBinary(DataInput dis) Read decision
RandomDecision	readString(String line) Read decision from a string
void	setRandomSeed(int randomSeed) Random seed upon which a java Random object is seeded and used to choose random indecies and thresholds.
String	toString()
void	write(DataOutput o) Write decision to a binary stream, threshold followed by feature.
void	writeASCII(PrintWriter writer) write decision in a human readable form

Methods inherited from class java.lang.Object

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

Field Detail

threshold

public int threshold

Feature threshold

feature

public int feature

Feature index

Constructor Detail

RandomDecision

public RandomDecision(int featureLength,
                      int[] minVal,
                      int[] maxVal)

Parameters:

featureLength - The number of entries in this featurevector

minVal - the min values of each featurevector entry

maxVal - the max values of each featurevector entry

RandomDecision

public RandomDecision(int featureLength,
                      int[] minVal,
                      int[] maxVal,
                      Random r)

Parameters:

featureLength - The number of entries in this featurevector

minVal - the min values of each featurevector entry

maxVal - the max values of each featurevector entry

r - random seed to set before construction

RandomDecision

public RandomDecision()

Emtpy contructor provided to allow reading of the decision

Method Detail

write

public void write(DataOutput o)
           throws IOException

Write decision to a binary stream, threshold followed by feature.

Parameters:

o -

Throws:

IOException

writeASCII

public void writeASCII(PrintWriter writer)

write decision in a human readable form

Parameters:

writer -

readBinary

public RandomDecision readBinary(DataInput dis)
                          throws IOException

Read decision

Parameters:

dis -

Returns:

A decision

Throws:

IOException

readString

public RandomDecision readString(String line)

Read decision from a string

Parameters:

line -

Returns:

a decision

toString

public String toString()

Overrides:

toString in class Object

setRandomSeed

public void setRandomSeed(int randomSeed)

Random seed upon which a java Random object is seeded and used to choose random indecies and thresholds.

Parameters:

randomSeed -