package?iitb.CRFAppl;
import?iitb.CRF.*;
import?iitb.Model.*;
import?iitb.Utils.*;
...;


public?class?CRFAppl?{
????Properties?options;
????CRF?crfModel;
????FeatureGenImpl?featureGen;

????public?static?void?main（String?argv[]）?throws?Exception?{
	????/*?
	?????*?Initialization:
	?????*?Get?the?required?arguements?for?the?application?here.
	?????*?Also?you?will?need?to?create?a?Properties?object?for?arguements?to?be?
	?????*?passed?to?the?CRF.?You?do?not?need?to?worry?about?this?object?
	?????*?because?there?are?default?values?for?all?the?parameters?in?the?CRF?package.
	?????*?You?may?need?to?pass?your?own?parameters?values?for?tuning?the?application?
	?????*?performance.
	?????*/

	????/*
	?????*?There?are?mainly?two?phases?for?a?learning?application:?Training?and?Testing.
	?????*?Implement?two?routines?for?each?of?the?phases?and?call?them?appropriately?here.
	?????*/
	????train（）;
	????test（）;
????}

????public?void?train（）?throws?Exception?{
	????/*
	?????*?Read?the?training?dataset?into?an?object?which?implements?DataIter?
	?????*?interface（trainData）.?Each?of?the?training?instance?is?encapsulated?in?the?
	?????*?object?which?provides?DataSequence?interface.?The?DataIter?interface
	?????*?returns?object?of?DataSequence?（training?instance）?in?next（）?routine.
	?????*/

	????/*
	?????*?Once?you?have?loaded?the?training?dataset?you?need?to?allocate?objects?
	?????*?for?the?model?to?be?learned.?allocmodel（）?method?does?that?allocation.
	?????*/
		allocModel（）;
	
	????/*
	?????*?You?may?need?to?train?some?of?the?feature?types?class.?This?training?is?
	?????*?needed?for?features?which?need?to?learn?from?the?training?data?for?instance
	?????*?dictionary?features?build?generated?from?the?training?set.
	?????*/
	????featureGen.train（trainData）;

	????/*
	?????*?Call?train?routine?of?the?CRF?model?to?train?the?model?using?the?
	?????*?train?data.?This?routine?returns?the?learned?weight?for?the?features.
	?????*/
	????double?featureWts[]?=?crfModel.train（trainData）;

	????/*
	?????*?You?can?store?the?learned?model?for?later?use?into?disk.
	?????*?For?this?you?will?have?to?store?features?as?well?as?their?
	?????*?corresponding?weights.
	?????*/
	????crfModel.write（baseDir+“/learntModels/“+outDir+“/crf“）;
	????featureGen.write（baseDir+“/learntModels/“+outDir+“/features“）;

????}

????public?void?test（）?throws?Exception?{
	????/*
	?????*?Read?the?test?dataset.?Each?of?the?test?instance?is?encapsulated?in?the?
	?????*?object?which?provides?DataSequence?interface.?
	?????*/

	????/*
	?????*?Once?you?have?loaded?the?test?dataset?you?need?to?allocate?objects?
	?????*?for?the?model?to?be?learned.?allocmodel（）?method?does?that?allocation.
	?????*?Also?you?need?to?read?learned?parameters?from?the?disk?stored?after
	?????*?training.?If?the?model?is?already?available?in?the?memory?then?you?do?
	?????*?not?need?to?reallocate?the?model?i.e.?you?can?skip?the?next?step?in?that
	?????*?case.
	?????*/
		allocModel（）;
		featureGen.read（baseDir+“/learntModels/“+outD