linearclassifier
Class LinearClassifier

java.lang.Object
  linearclassifier.LinearClassifier

public class LinearClassifier
extends Object

This library implements linear classification for numerical data. It accepts two labeled data sets, each element of which can contain two or more floats as data. Once trained, LinearClassifier can predict which of the two original sets any new piece of test data will fall into. LinearClassifier also includes tools for displaying data in the 2D case. See the 2D example for details:

Field Summary

ArrayList<Float>	maxs
ArrayList<Float>	mins
ArrayList<PVector>	outputScales
ArrayList<ArrayList<Float>>	set1
ArrayList<ArrayList<Float>>	set2
static String	VERSION

Constructor Summary

LinearClassifier(PApplet parent)

Method Summary

float	dotProduct(ArrayList<Float> v1, ArrayList<Float> v2)
void	drawSet1()
void	drawSet2()
ArrayList<Float>	getAverage(ArrayList<ArrayList<Float>> set)
PVector	getCenterPoint()
int	getDataSize()
ArrayList<Float>	getScaledPoint(ArrayList<Float> p)
ArrayList<Float>	getScaledPoint(PVector p)
ArrayList<Float>	getSet1Average()
ArrayList<Float>	getSet2Average()
PVector	getUnscaledPoint(ArrayList<Float> p)
PVector	getUnscaledPoint(PVector p)
boolean	isInSet1(ArrayList<Float> p)
boolean	isInSet1(PVector p)
boolean	isInSet2(ArrayList<Float> p)
boolean	isInSet2(PVector p)
void	loadSet1(ArrayList<ArrayList<Float>> set)
void	loadSet2(ArrayList<ArrayList<Float>> set)
PVector	pToV(ArrayList<Float> p)
void	scaleData(ArrayList<Float> data, int min, int max)
void	scaleData(int min, int max)
void	setOutputScale(ArrayList<PVector> outputScales)
void	setOutputScale(float min, float max)
ArrayList<Float>	vToP(PVector v)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

VERSION

public static final String VERSION

See Also:

Constant Field Values

set1

public ArrayList<ArrayList<Float>> set1

set2

public ArrayList<ArrayList<Float>> set2

maxs

public ArrayList<Float> maxs

mins

public ArrayList<Float> mins

outputScales

public ArrayList<PVector> outputScales

Constructor Detail

LinearClassifier

public LinearClassifier(PApplet parent)

Method Detail

setOutputScale

public void setOutputScale(ArrayList<PVector> outputScales)

setOutputScale

public void setOutputScale(float min,
                           float max)

getDataSize

public int getDataSize()

loadSet1

public void loadSet1(ArrayList<ArrayList<Float>> set)

loadSet2

public void loadSet2(ArrayList<ArrayList<Float>> set)

drawSet1

public void drawSet1()

drawSet2

public void drawSet2()

getScaledPoint

public ArrayList<Float> getScaledPoint(PVector p)

getScaledPoint

public ArrayList<Float> getScaledPoint(ArrayList<Float> p)

getUnscaledPoint

public PVector getUnscaledPoint(ArrayList<Float> p)

getUnscaledPoint

public PVector getUnscaledPoint(PVector p)

dotProduct

public float dotProduct(ArrayList<Float> v1,
                        ArrayList<Float> v2)

getCenterPoint

public PVector getCenterPoint()

isInSet1

public boolean isInSet1(PVector p)

isInSet1

public boolean isInSet1(ArrayList<Float> p)

vToP

public ArrayList<Float> vToP(PVector v)

pToV

public PVector pToV(ArrayList<Float> p)

isInSet2

public boolean isInSet2(ArrayList<Float> p)

isInSet2

public boolean isInSet2(PVector p)

getSet1Average

public ArrayList<Float> getSet1Average()

getSet2Average

public ArrayList<Float> getSet2Average()

scaleData

public void scaleData(int min,
                      int max)

scaleData

public void scaleData(ArrayList<Float> data,
                      int min,
                      int max)

getAverage

public ArrayList<Float> getAverage(ArrayList<ArrayList<Float>> set)