edu.stanford.nlp.maxent.iis
Class ByteFeature

java.lang.Object
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  +--edu.stanford.nlp.maxent.iis.Feature
        |
        +--edu.stanford.nlp.maxent.iis.ByteFeature

public class ByteFeature

extends Feature

This class is used when we are sure the feature will have a value in 0-255 for each data pair

Field Summary

protected HashMap	hashValues
byte[]	valuesI These are the non-zero values we want to keep for the points is indexedValues.

Fields inherited from class edu.stanford.nlp.maxent.iis.Feature

indexedValues, sum

Constructor Summary

ByteFeature()

ByteFeature(Experiments e, byte[][] vals)

ByteFeature(Experiments e, int[] indexes, byte[] vals)

Method Summary

double	ftiled()
double	getVal(int index) Get the value at the index-ed non zero value pair (x,y)
boolean	isEmpty()

Methods inherited from class edu.stanford.nlp.maxent.iis.Feature

getVal, getX, getY, initHashVals, len, print, print, read, save, setSum, sumValues

Methods inherited from class java.lang.Object

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

Field Detail

valuesI

public byte[] valuesI

These are the non-zero values we want to keep for the points is indexedValues.

hashValues

protected HashMap hashValues

Constructor Detail

ByteFeature

public ByteFeature()

ByteFeature

public ByteFeature(Experiments e,
                   byte[][] vals)

Parameters:

vals - a value for each (x,y) pair

ByteFeature

public ByteFeature(Experiments e,
                   int[] indexes,
                   byte[] vals)

Parameters:

indexes - The pairs (x,y) for which the feature is non-zero. They are coded as x*ySize+y

vals - The values at these points.

Method Detail

isEmpty

public boolean isEmpty()

Overrides:

isEmpty in class Feature

Returns:

true if the feature does not have non-zero values

getVal

public double getVal(int index)

Description copied from class: Feature

Get the value at the index-ed non zero value pair (x,y)

Overrides:

getVal in class Feature

ftiled

public double ftiled()

Overrides:

ftiled in class Feature

Returns:

the emptirical expectation of the feature