edu.cmu.minorthird.classify.transform
Class T1InstanceTransformLearner

java.lang.Object
  edu.cmu.minorthird.classify.transform.T1InstanceTransformLearner

All Implemented Interfaces:

InstanceTransformLearner

public class T1InstanceTransformLearner
extends java.lang.Object
implements InstanceTransformLearner

Author:

Edoardo Airoldi Date: Nov 24, 2003

Constructor Summary

T1InstanceTransformLearner()

Method Summary

InstanceTransform	batchTrain(Dataset dataset) Examine data, build an instance transformer
double	getLength(Example e) Get the total number of words in an Example
static void	main(java.lang.String[] args)
double	MaximumLikelihoodPoisson(double[] x, double[] omega, double prior) Compute the maximum likelihood estimate of the rate 'mu' of a Poisson model, using integer counts x[] from examples with different lengths omega[].
java.util.SortedMap<java.lang.String,java.lang.Double>	MethodOfMomentsNegBin(double[] x, double[] omega, double prior) Compute the method of moment estimates of the rate 'mu' and the parameter which controls the variability 'delta' of a Negative-Binomial models, using integer counts x[] from examples with different lengths omega[].
void	setPDF(java.lang.String pdf) Set PDF to the desired value
void	setREF_LENGTH(double desiredLength) Set REF_LENGTH to the desired value
void	setSchema(ExampleSchema schema) Accept an ExampleSchema - constraints on what the Examples will be.
double	T1(int x1, int x2) Compute the T1 statistic corresponding to the counts in two texts

Methods inherited from class java.lang.Object

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

Constructor Detail

T1InstanceTransformLearner

public T1InstanceTransformLearner()

Method Detail

setSchema

public void setSchema(ExampleSchema schema)

Accept an ExampleSchema - constraints on what the Examples will be.

Specified by:

setSchema in interface InstanceTransformLearner

batchTrain

public InstanceTransform batchTrain(Dataset dataset)

Examine data, build an instance transformer

Specified by:

batchTrain in interface InstanceTransformLearner

getLength

public double getLength(Example e)

Get the total number of words in an Example

T1

public double T1(int x1,
                 int x2)

Compute the T1 statistic corresponding to the counts in two texts

MaximumLikelihoodPoisson

public double MaximumLikelihoodPoisson(double[] x,
                                       double[] omega,
                                       double prior)

Compute the maximum likelihood estimate of the rate 'mu' of a Poisson model, using integer counts x[] from examples with different lengths omega[].

MethodOfMomentsNegBin

public java.util.SortedMap<java.lang.String,java.lang.Double> MethodOfMomentsNegBin(double[] x,
                                                                                    double[] omega,
                                                                                    double prior)

Compute the method of moment estimates of the rate 'mu' and the parameter which controls the variability 'delta' of a Negative-Binomial models, using integer counts x[] from examples with different lengths omega[].

setREF_LENGTH

public void setREF_LENGTH(double desiredLength)

Set REF_LENGTH to the desired value

setPDF

public void setPDF(java.lang.String pdf)

Set PDF to the desired value

main

public static void main(java.lang.String[] args)