Package generic.lsh.vector

Class WeightFactory

java.lang.Object

generic.lsh.vector.WeightFactory

public class WeightFactory
extends Object

Constructor Summary

Constructors

Constructor	Description
WeightFactory()

Method Summary

Modifier and Type	Method	Description
final double	getAddend()
final double	getCoeff(short i, short t)	Given an IDF position and a TF count, build the feature coefficient
final double	getDiffNorm0()
final double	getDiffNorm1()
final double	getFlipNorm0()
final double	getFlipNorm1()
final int	getIDFSize()
final double	getIDFWeight(short val)
final double	getScale()
final int	getSize()
final int	getTFSize()
final double	getTFWeight(short val)
final double	getWeightNorm()
void	restoreXml(XmlPullParser parser)	Build (deserialize) this object from an XML stream
void	saveXml(Writer fwrite)	Serialize this object as XML to a Writer
void	set(double[] weightArray)	Initialize the WeightTable from an array of doubles
void	setLogarithmicTFWeights()
double[]	toArray()	Condense weight table down to array of doubles

Methods inherited from class java.lang.Object

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

Constructor Details

WeightFactory

public WeightFactory()

Method Details

getIDFSize

public final int getIDFSize()

Returns:

number of weights in the IDF portion of the table

getTFSize

public final int getTFSize()

Returns:

number of weights in the TF portion of the table

getSize

public final int getSize()

Returns:

number of floating-point entries needed to serialize the factory

getIDFWeight

public final double getIDFWeight(short val)

Parameters:

val -

Returns:

the IDF weight at the given position

getTFWeight

public final double getTFWeight(short val)

Parameters:

val - is the term count (-1)

Returns:

the TF weight for the given count

getCoeff

public final double getCoeff(short i,
 short t)

Given an IDF position and a TF count, build the feature coefficient

Parameters:

i - is the IDF position

t - is the TF count

Returns:

the feature coefficient

getWeightNorm

public final double getWeightNorm()

Returns:

the weight normalization factor

getFlipNorm0

public final double getFlipNorm0()

Returns:

the first feature flip penalty parameter

getDiffNorm0

public final double getDiffNorm0()

Returns:

the first feature drop penalty parameter

getFlipNorm1

public final double getFlipNorm1()

Returns:

the second feature flip penalty parameter

getDiffNorm1

public final double getDiffNorm1()

Returns:

the second feature drop penalty parameter

getScale

public final double getScale()

Returns:

the final score scaling factor

getAddend

public final double getAddend()

Returns:

the final score addend

setLogarithmicTFWeights

public void setLogarithmicTFWeights()

saveXml

public void saveXml(Writer fwrite)
             throws IOException

Serialize this object as XML to a Writer

Parameters:

fwrite - is the Writer

Throws:

IOException

toArray

public double[] toArray()

Condense weight table down to array of doubles

Returns:

array of doubles

set

public void set(double[] weightArray)

Initialize the WeightTable from an array of doubles

Parameters:

weightArray -

restoreXml

public void restoreXml(XmlPullParser parser)

Build (deserialize) this object from an XML stream

Parameters:

parser - is the XML parser