A C D E F G H I L M N O P R S T U V W X Y

A

AlphaNumericPreprocessor - class iitb.Segment.AlphaNumericPreprocessor.

AlphaNumericPreprocessor() - Constructor for class iitb.Segment.AlphaNumericPreprocessor

add(int, String[]) - Method in class iitb.Utils.Options

addFeature(FeatureTypes) - Method in class iitb.Model.FeatureGenImpl

appendValues - Variable in class iitb.Utils.Options

apply(DataSequence) - Method in class iitb.CRF.CRF

apply(DataSequence) - Method in class iitb.CRF.NestedCRF

C

CRF - class iitb.CRF.CRF.

CRF (conditional random fields) This class provides support for training and applying a conditional random field for sequence labeling problems.

CRF(int, FeatureGenerator, String) - Constructor for class iitb.CRF.CRF

CRF(int, FeatureGenerator, Properties) - Constructor for class iitb.CRF.CRF

CompleteModel - class iitb.Model.CompleteModel.

CompleteModel(int) - Constructor for class iitb.Model.CompleteModel

CompleteModel.SingleEdgeIterator - class iitb.Model.CompleteModel.SingleEdgeIterator.

ConfigException - exception iitb.Utils.ConfigException.

ConfigException(String) - Constructor for class iitb.Utils.ConfigException

CrfParams - class iitb.CRF.CrfParams.

This class holds all parameters to control various aspects of the CRF model

CrfParams() - Constructor for class iitb.CRF.CrfParams

constructor with default values as follows.

CrfParams(String) - Constructor for class iitb.CRF.CrfParams

Initialize any parameter using space separated list of name value pairs Example: "initValue 0.1 maxIters 20" will set the initValue param to 0.1 and maxIters param to 20.

CrfParams(Properties) - Constructor for class iitb.CRF.CrfParams

calc() - Method in class iitb.Segment.Segment

copy(FeatureImpl) - Method in class iitb.Model.FeatureImpl

createRaw(String, String) - Static method in class iitb.Segment.DataCruncher

D

DIGIT - Static variable in class iitb.Segment.AlphaNumericPreprocessor

DataCruncher - class iitb.Segment.DataCruncher.

DataCruncher() - Constructor for class iitb.Segment.DataCruncher

DataIter - interface iitb.CRF.DataIter.

The basic interface to be implemented by the user of this package for providing training and test data to the learner.

DataSequence - interface iitb.CRF.DataSequence.

A basic training/test instance needs to support the DataSequence interface.

DataSet - class iitb.MaxentClassifier.DataSet.

debugLvl - Variable in class iitb.CRF.CrfParams

doScaling - Variable in class iitb.CRF.CrfParams

doTest() - Method in class iitb.Segment.Segment

E

EdgeFeatures - class iitb.Model.EdgeFeatures.

EdgeFeatures(Model) - Constructor for class iitb.Model.EdgeFeatures

EndFeatures - class iitb.Model.EndFeatures.

EndFeatures(Model) - Constructor for class iitb.Model.EndFeatures

edgeIterator() - Method in class iitb.Model.CompleteModel

edgeIterator() - Method in class iitb.Model.GenericModel

edgeIterator() - Method in interface iitb.Model.Model

edgeIterator() - Method in class iitb.Model.NestedModel

endState(int) - Method in class iitb.Model.CompleteModel

endState(int) - Method in class iitb.Model.GenericModel

endState(int) - Method in interface iitb.Model.Model

endState(int) - Method in class iitb.Model.NestedModel

epsForConvergence - Variable in class iitb.CRF.CrfParams

Convergence criteria for finding optimum lambda using BFGS

F

Feature - interface iitb.CRF.Feature.

A single feature returned by the FeatureGenerator needs to support this interface.

FeatureGenImpl - class iitb.Model.FeatureGenImpl.

The FeatureGenerator is an aggregator over all these different feature types.

FeatureGenImpl(String, int) - Constructor for class iitb.Model.FeatureGenImpl

FeatureGenImpl(String, int, boolean) - Constructor for class iitb.Model.FeatureGenImpl

FeatureGenRecord - class iitb.MaxentClassifier.FeatureGenRecord.

FeatureGenerator - interface iitb.CRF.FeatureGenerator.

The basic interface to be implemented by the user of this package for providing features of an individual data sequence.

FeatureGeneratorNested - interface iitb.CRF.FeatureGeneratorNested.

FeatureImpl - class iitb.Model.FeatureImpl.

FeatureImpl() - Constructor for class iitb.Model.FeatureImpl

FeatureTypes - class iitb.Model.FeatureTypes.

Inherit from the FeatureTypes class for creating any kind of feature.

FeatureTypes(Model) - Constructor for class iitb.Model.FeatureTypes

featureGenerator() - Method in class iitb.Segment.Segment

G

GenericModel - class iitb.Model.GenericModel.

GenericModel(String) - Constructor for class iitb.Model.GenericModel

GenericModel.GenericEdgeIterator - class iitb.Model.GenericModel.GenericEdgeIterator.

getCode() - Method in class iitb.Segment.AlphaNumericPreprocessor

getCode() - Method in class iitb.Segment.Preprocessor

getDouble(String) - Method in class iitb.Utils.Options

getDoubleLoose(String) - Method in class iitb.Utils.Options

getInt(String) - Method in class iitb.Utils.Options

getIntLoose(String) - Method in class iitb.Utils.Options

getMandatoryProperty(String) - Method in class iitb.Utils.Options

getString(String) - Method in class iitb.Utils.Options

H

hasMoreRecords() - Method in interface iitb.Segment.TrainData

hasNext() - Method in interface iitb.CRF.DataIter

hasNext() - Method in interface iitb.CRF.FeatureGenerator

hasNext() - Method in class iitb.MaxentClassifier.DataSet

hasNext() - Method in class iitb.MaxentClassifier.FeatureGenRecord

hasNext() - Method in class iitb.Model.CompleteModel.SingleEdgeIterator

hasNext() - Method in class iitb.Model.EdgeFeatures

hasNext() - Method in class iitb.Model.EndFeatures

hasNext() - Method in class iitb.Model.FeatureGenImpl

hasNext() - Method in class iitb.Model.FeatureTypes

hasNext() - Method in class iitb.Model.GenericModel.GenericEdgeIterator

hasNext() - Method in class iitb.Model.NestedModel.NestedEdgeIterator

hasNext() - Method in class iitb.Model.StartFeatures

hasNext() - Method in interface iitb.Segment.TrainData

I

id - Variable in class iitb.Model.FeatureImpl

iitb.CRF - package iitb.CRF

Provides an implementation of Conditional Random Fields (CRF) for use in sequential classification tasks.

iitb.MaxentClassifier - package iitb.MaxentClassifier

This package shows how to use the CRF package iitb.CRF for basic maxent classification

iitb.Model - package iitb.Model

This package has a wealth of classes that will make it easy for you to implement the FeatureGenerator interface required when using CRFs.

iitb.Segment - package iitb.Segment

This package shows how to use the iitb.CRF package for sequence classification tasks

iitb.Utils - package iitb.Utils

index() - Method in interface iitb.CRF.Feature

index() - Method in class iitb.Model.FeatureImpl

initValue - Variable in class iitb.CRF.CrfParams

initial value for all the lambda arrays

invSigmaSquare - Variable in class iitb.CRF.CrfParams

penalty term for likelihood function is ||lambda||^2*invSigmaSquare/2 set this to zero, if no penalty needed

isEndState(int) - Method in class iitb.Model.CompleteModel

isEndState(int) - Method in class iitb.Model.GenericModel

isEndState(int) - Method in interface iitb.Model.Model

isEndState(int) - Method in class iitb.Model.NestedModel

isNumber(String) - Static method in class iitb.Segment.AlphaNumericPreprocessor

isStartState(int) - Method in class iitb.Model.CompleteModel

isStartState(int) - Method in class iitb.Model.GenericModel

isStartState(int) - Method in interface iitb.Model.Model

isStartState(int) - Method in class iitb.Model.NestedModel

L

label(int) - Method in class iitb.Model.CompleteModel

label(int) - Method in class iitb.Model.FeatureGenImpl

label(int) - Method in class iitb.Model.GenericModel

label(int) - Method in interface iitb.Model.Model

label(int) - Method in class iitb.Model.NestedModel

length() - Method in interface iitb.CRF.DataSequence

M

MaxentClassifier - class iitb.MaxentClassifier.MaxentClassifier.

This class shows how to use the CRF package iitb.CRF for basic maxent classification where the features are provided as attributes of the instances to be classified.

Model - interface iitb.Model.Model.

mForHessian - Variable in class iitb.CRF.CrfParams

The number of corrections used in the BFGS update.

main(String[]) - Static method in class iitb.MaxentClassifier.MaxentClassifier

main(String[]) - Static method in class iitb.Model.NestedModel

main(String[]) - Static method in class iitb.Segment.Segment

main(String[]) - Static method in class iitb.Utils.Options

The main method for running this class as a standalone application

mapStatesToLabels(DataSequence) - Method in class iitb.Model.FeatureGenImpl

maxIters - Variable in class iitb.CRF.CrfParams

Maximum number of iterations over the training data during training

maxMemory() - Method in interface iitb.CRF.FeatureGeneratorNested

for nestedCRF this controls the maximum number of x-s grouped together.

model - Variable in class iitb.Model.FeatureGenImpl

model - Variable in class iitb.Model.FeatureTypes

N

NestedCRF - class iitb.CRF.NestedCRF.

NestedCRF(int, FeatureGeneratorNested, String) - Constructor for class iitb.CRF.NestedCRF

NestedCRF(int, FeatureGeneratorNested, Properties) - Constructor for class iitb.CRF.NestedCRF

NestedModel - class iitb.Model.NestedModel.

NestedModel(int, String) - Constructor for class iitb.Model.NestedModel

NestedModel.NestedEdgeIterator - class iitb.Model.NestedModel.NestedEdgeIterator.

next() - Method in interface iitb.CRF.DataIter

next() - Method in interface iitb.CRF.FeatureGenerator

next() - Method in class iitb.MaxentClassifier.DataSet

next() - Method in class iitb.MaxentClassifier.FeatureGenRecord

next() - Method in class iitb.Model.CompleteModel.SingleEdgeIterator

next(FeatureImpl) - Method in class iitb.Model.EdgeFeatures

next(FeatureImpl) - Method in class iitb.Model.EndFeatures

next() - Method in class iitb.Model.FeatureGenImpl

next(FeatureImpl) - Method in class iitb.Model.FeatureTypes

next() - Method in class iitb.Model.GenericModel.GenericEdgeIterator

next() - Method in class iitb.Model.NestedModel.NestedEdgeIterator

next(FeatureImpl) - Method in class iitb.Model.StartFeatures

next() - Method in interface iitb.Segment.TrainData

nextInnerEdge() - Method in class iitb.Model.NestedModel.NestedEdgeIterator

nextOuterEdge() - Method in class iitb.Model.NestedModel.NestedEdgeIterator

nextRecord() - Method in interface iitb.Segment.TrainData

numEdges() - Method in class iitb.Model.CompleteModel

numEdges() - Method in class iitb.Model.GenericModel

numEdges() - Method in interface iitb.Model.Model

numEdges() - Method in class iitb.Model.NestedModel

numEndStates() - Method in class iitb.Model.CompleteModel

numEndStates() - Method in class iitb.Model.GenericModel

numEndStates() - Method in interface iitb.Model.Model

numEndStates() - Method in class iitb.Model.NestedModel

numFeatures() - Method in interface iitb.CRF.FeatureGenerator

The number of features has to be correctly set before train is called.

numFeatures() - Method in class iitb.MaxentClassifier.FeatureGenRecord

numFeatures() - Method in class iitb.Model.FeatureGenImpl

numStartStates() - Method in class iitb.Model.CompleteModel

numStartStates() - Method in class iitb.Model.GenericModel

numStartStates() - Method in interface iitb.Model.Model

numStartStates() - Method in class iitb.Model.NestedModel

numStates() - Method in class iitb.Model.CompleteModel

numStates() - Method in class iitb.Model.FeatureGenImpl

numStates() - Method in class iitb.Model.GenericModel

numStates() - Method in interface iitb.Model.Model

numStates() - Method in class iitb.Model.NestedModel

O

Options - class iitb.Utils.Options.

Parses command-line options.

Options(Properties, String[]) - Constructor for class iitb.Utils.Options

Options(String[][], String[]) - Constructor for class iitb.Utils.Options

Options(String[]) - Constructor for class iitb.Utils.Options

Options() - Constructor for class iitb.Utils.Options

Options(String[][]) - Constructor for class iitb.Utils.Options

P

Preprocessor - class iitb.Segment.Preprocessor.

Preprocessor() - Constructor for class iitb.Segment.Preprocessor

params - Variable in class iitb.CRF.CRF

parse(String[]) - Static method in class iitb.Utils.Options

parse() - Method in class iitb.Utils.Options

parse(int) - Method in class iitb.Utils.Options

parseConf(String[]) - Method in class iitb.Segment.Segment

preprocess(String) - Static method in class iitb.Segment.AlphaNumericPreprocessor

preprocess(TrainData, int) - Static method in class iitb.Segment.AlphaNumericPreprocessor

preprocess(String) - Static method in class iitb.Segment.Preprocessor

print(PrintStream) - Method in class iitb.Utils.Options

printDbg(String) - Static method in class iitb.CRF.Util

processArgs() - Method in class iitb.Segment.Segment

R

read(String) - Method in class iitb.CRF.CRF

read the parameters of the CRF from a file

read(String) - Method in class iitb.Model.FeatureGenImpl

readRaw(Vector, String, String, String) - Static method in class iitb.Segment.DataCruncher

readTagged(int, String, String, String, String, String, LabelMap) - Static method in class iitb.Segment.DataCruncher

S

Segment - class iitb.Segment.Segment.

Segment() - Constructor for class iitb.Segment.Segment

StartFeatures - class iitb.Model.StartFeatures.

StartFeatures(Model) - Constructor for class iitb.Model.StartFeatures

segment(Segment.TestRecord, int[], String[]) - Method in class iitb.Segment.Segment

set_y(int, int) - Method in interface iitb.CRF.DataSequence

size() - Method in interface iitb.Segment.TrainData

start() - Method in class iitb.Model.CompleteModel.SingleEdgeIterator

start() - Method in class iitb.Model.GenericModel.GenericEdgeIterator

start() - Method in class iitb.Model.NestedModel.NestedEdgeIterator

startScan() - Method in interface iitb.CRF.DataIter

startScan() - Method in class iitb.MaxentClassifier.DataSet

startScan() - Method in interface iitb.Segment.TrainData

startScanFeaturesAt(DataSequence, int) - Method in interface iitb.CRF.FeatureGenerator

startScanFeaturesAt(DataSequence, int, int) - Method in interface iitb.CRF.FeatureGeneratorNested

startScanFeaturesAt(DataSequence, int) - Method in class iitb.MaxentClassifier.FeatureGenRecord

startScanFeaturesAt(DataSequence, int, int) - Method in class iitb.Model.EdgeFeatures

startScanFeaturesAt(DataSequence, int, int) - Method in class iitb.Model.EndFeatures

startScanFeaturesAt(DataSequence, int) - Method in class iitb.Model.FeatureGenImpl

startScanFeaturesAt(DataSequence, int) - Method in class iitb.Model.FeatureTypes

startScanFeaturesAt(DataSequence, int, int) - Method in class iitb.Model.FeatureTypes

startScanFeaturesAt(DataSequence, int, int) - Method in class iitb.Model.StartFeatures

startState(int) - Method in class iitb.Model.CompleteModel

startState(int) - Method in class iitb.Model.GenericModel

startState(int) - Method in interface iitb.Model.Model

return the i-th start state

startState(int) - Method in class iitb.Model.NestedModel

stateMappings(DataSequence) - Method in class iitb.Model.CompleteModel

stateMappings(DataSequence, int, int) - Method in class iitb.Model.CompleteModel

stateMappings(DataIter) - Method in class iitb.Model.FeatureGenImpl

stateMappings(DataSequence) - Method in class iitb.Model.GenericModel

stateMappings(DataSequence, int, int) - Method in class iitb.Model.GenericModel

stateMappings(DataSequence) - Method in interface iitb.Model.Model

stateMappings(DataSequence, int, int) - Method in interface iitb.Model.Model

stateMappings(DataSequence, int, int) - Method in class iitb.Model.NestedModel

stateMappings(DataSequence) - Method in class iitb.Model.NestedModel

strId - Variable in class iitb.Model.FeatureImpl

T

TrainData - interface iitb.Segment.TrainData.

test() - Method in class iitb.Segment.Segment

toString() - Method in class iitb.Model.FeatureImpl

train(DataIter) - Method in class iitb.CRF.CRF

train(DataIter) - Method in class iitb.Model.FeatureGenImpl

train() - Method in class iitb.Segment.Segment

trainerType - Variable in class iitb.CRF.CrfParams

type - Variable in class iitb.Model.FeatureImpl

U

Util - class iitb.CRF.Util.

Util() - Constructor for class iitb.CRF.Util

V

val - Variable in class iitb.Model.FeatureImpl

value() - Method in interface iitb.CRF.Feature

can be -1 if the feature is a state, rather than an edge feature

value() - Method in class iitb.Model.FeatureImpl

W

write(String) - Method in class iitb.CRF.CRF

write the trained parameters of the CRF to the file

write(String) - Method in class iitb.Model.FeatureGenImpl

X

x(int) - Method in interface iitb.CRF.DataSequence

The type of x is never interpreted by the CRF package.

Y

y(int) - Method in interface iitb.CRF.DataSequence

y() - Method in interface iitb.CRF.Feature

the index of this feature from 0..numFeatures-1.

y() - Method in class iitb.Model.FeatureImpl

yend - Variable in class iitb.Model.FeatureImpl

yprev() - Method in interface iitb.CRF.Feature

has to be a label index from 0..numLabels-1

yprev() - Method in class iitb.Model.FeatureImpl

ystart - Variable in class iitb.Model.FeatureImpl

A C D E F G H I L M N O P R S T U V W X Y