marf.Stats.StatisticalEstimators
Class GLI

java.lang.Object
  marf.Storage.StorageManager
      marf.Stats.StatisticalEstimators.StatisticalEstimator
          marf.Stats.StatisticalEstimators.GLI

All Implemented Interfaces:

java.io.Serializable, IStatisticalEstimator, IStorageManager

public class GLI
extends StatisticalEstimator

GLI Statistical Estimator. TODO: complete/document. $Id: GLI.java,v 1.13 2005/06/16 19:58:47 mokhov Exp $

Since:

0.3.0

Version:

$Revision: 1.13 $

Author:

Serguei Mokhov

See Also:

Serialized Form

Field Summary

Fields inherited from class marf.Stats.StatisticalEstimators.StatisticalEstimator

oProbabilityTable, oStreamTokenizer

Fields inherited from class marf.Storage.StorageManager

bDumpOnNotFound, iCurrentDumpMode, oObjectToSerialize, strFilename

Fields inherited from interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

MARF_INTERFACE_CODE_REVISION

Fields inherited from interface marf.Storage.IStorageManager

DUMP_BINARY, DUMP_CSV_TEXT, DUMP_GZIP_BINARY, DUMP_HTML, DUMP_SQL, DUMP_XML, MARF_INTERFACE_CODE_REVISION, STORAGE_FILE_EXTENSIONS

Constructor Summary

GLI()

Method Summary

static java.lang.String	getMARFSourceCodeRevision() Returns source code revision information.
double	P(Ngram poNgram)
boolean	train() Every estimator needs to implement its specific training method.

Methods inherited from class marf.Stats.StatisticalEstimators.StatisticalEstimator

dumpCSV, dumpXML, getFilename, getLanguage, getProbabilityTable, getStreamTokenizer, p, resetFilename, restoreCSV, restoreXML, setLanguage, setStreamTokenizer

Methods inherited from class marf.Storage.StorageManager

backSynchronizeObject, dump, dumpBinary, dumpGzipBinary, dumpHTML, dumpSQL, enableDumpOnNotFound, getDefaultExtension, getDefaultExtension, getDumpMode, restore, restoreBinary, restoreGzipBinary, restoreHTML, restoreSQL, setDumpMode, setFilename

Methods inherited from class java.lang.Object

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

Constructor Detail

GLI

public GLI()

Method Detail

P

public double P(Ngram poNgram)

train

public boolean train()

Description copied from class: StatisticalEstimator

Every estimator needs to implement its specific training method.

Specified by:

train in interface IStatisticalEstimator

Overrides:

train in class StatisticalEstimator

Returns:

true if training was successful

getMARFSourceCodeRevision

public static java.lang.String getMARFSourceCodeRevision()

Returns source code revision information.

Returns:

revision string