Serialized Form

Class marf.Stats.StatisticalEstimators.Smoothing.AddDelta implements Serializable

Serialized Fields

dDelta

double dDelta

Default 0.5: Expected Likelihood Estimation (ELE).

Class marf.Stats.StatisticalEstimators.Smoothing.AddOne implements Serializable

Class marf.Preprocessing.FFTFilter.BandpassFilter implements Serializable

Class marf.gui.util.BorderPanel implements Serializable

Class marf.FeatureExtraction.Cepstral.Cepstral implements Serializable

Class marf.Classification.Distance.ChebyshevDistance implements Serializable

Class marf.Classification.Classification implements Serializable

Serialized Fields

oFeatureExtraction

marf.FeatureExtraction.IFeatureExtraction oFeatureExtraction

Reference to the enclosed FeatureExtraction object.

oTrainingSet

marf.Storage.TrainingSet oTrainingSet

TrainingSet Container.

oResultSet

marf.Storage.ResultSet oResultSet

Classification result set. May contain one or more results (in case of similarity).

Since:

0.3.0.2

Class marf.Classification.ClassificationException implements Serializable

Class marf.Storage.Cluster implements Serializable

Serialized Fields

iMeanCount

int iMeanCount

How many times mean was computed. Used in recomputation of it.

Class marf.gui.util.ColoredStatusPanel implements Serializable

Serialized Fields

iLowerBound

int iLowerBound

Lower bound.

iUpperBound

int iUpperBound

Upper bound.

iCurrentStatus

int iCurrentStatus

Should be between lower and upper bounds.

Class marf.nlp.Parsing.CompilerError implements Serializable

Serialized Fields

CurrentErrorCode

int CurrentErrorCode

Error code of the last error occured.

Since:

October 2, 2001

CurrentErrorString

java.lang.String CurrentErrorString

A descriptive message correspoding to a given error code.

Since:

October 2, 2001

LineNo

int LineNo

Line number where the given error occurred.

Since:

October 2, 2001

Class marf.Storage.Database implements Serializable

Serialized Fields

bConnected

boolean bConnected

Indicates whether we are connected or not.

Class marf.Classification.Distance.DiffDistance implements Serializable

Class marf.Classification.Distance.Distance implements Serializable

Class marf.Preprocessing.Dummy.Dummy implements Serializable

Class marf.Preprocessing.Endpoint.Endpoint implements Serializable

Class marf.Classification.Distance.EuclideanDistance implements Serializable

Class marf.FeatureExtraction.F0.F0 implements Serializable

Class marf.FeatureExtraction.FeatureExtraction implements Serializable

Serialized Fields

oPreprocessing

marf.Preprocessing.IPreprocessing oPreprocessing

Internal reference to the Preprocessing module.

adFeatures

double[] adFeatures

An array of features extracted (coefficiencies and/or amplitude values).

Class marf.FeatureExtraction.FeatureExtractionException implements Serializable

Class marf.Storage.FeatureSet implements Serializable

Serialized Fields

oFeatureVectors

java.util.Vector oFeatureVectors

A Vector of TrainingSamples.

Class marf.FeatureExtraction.FFT.FFT implements Serializable

Serialized Fields

iChunkSize

int iChunkSize

FFT chunk size. Must be a power of 2.

Since:

0.3.0.4

Class marf.Preprocessing.FFTFilter.FFTFilter implements Serializable

Class marf.util.FreeVector implements Serializable

Class marf.util.comparators.FrequencyComparator implements Serializable

Class marf.Stats.StatisticalEstimators.GLI implements Serializable

Class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring implements Serializable

Serialized Fields

iThreshold

int iThreshold

Class marf.nlp.Parsing.GrammarCompiler.Grammar implements Serializable

Serialized Fields

TerminalList

java.util.Vector TerminalList

List of terminals.

NonTerminalList

java.util.Vector NonTerminalList

List of non-terminals.

Rules

java.util.Vector Rules

A vector of rules.

EOFTerminal

marf.nlp.Parsing.GrammarCompiler.Terminal EOFTerminal

A static EOF reference.

EpsilonTerminal

marf.nlp.Parsing.GrammarCompiler.Terminal EpsilonTerminal

The epsilon token.

StartNonTerminal

marf.nlp.Parsing.GrammarCompiler.NonTerminal StartNonTerminal

A reference to the starting state.

FirstSetsFile

java.lang.String FirstSetsFile

FollowSetsFile

java.lang.String FollowSetsFile

RulesFile

java.lang.String RulesFile

Class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler implements Serializable

Serialized Fields

oGrammar

marf.nlp.Parsing.GrammarCompiler.Grammar oGrammar

Instance of the grammar as a set of production Rules, First and Follow sets.

GrammarFileName

java.lang.String GrammarFileName

Source grammar filename.

oGrammarAnalyzer

marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer oGrammarAnalyzer

Lexical Analyzer for the grammar.

oGrammarElement

marf.nlp.Parsing.GrammarCompiler.GrammarElement oGrammarElement

oToken

marf.nlp.Parsing.Token oToken

oRule

marf.nlp.Parsing.GrammarCompiler.Rule oRule

Class marf.nlp.Parsing.GrammarCompiler.GrammarElement implements Serializable

Serialized Fields

Name

java.lang.String Name

A name of a token to refer to.

ID

int ID

ID to act as an index to table.

oToken

marf.nlp.Parsing.Token oToken

A bit extra info in the encasulted token.

FirstSet

java.util.Vector FirstSet

FirstSet of us.

Class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType implements Serializable

Class marf.Preprocessing.FFTFilter.HighFrequencyBoost implements Serializable

Class marf.Preprocessing.FFTFilter.HighPassFilter implements Serializable

Class marf.util.InvalidSampleFormatException implements Serializable

Class marf.Stats.StatisticalEstimators.KatzBackoff implements Serializable

Class marf.nlp.Parsing.LexicalError implements Serializable

Serialized Fields

ErrorMessages

java.lang.String[] ErrorMessages

Lexical errors.

Since:

October 2, 2001

FaultingToken

marf.nlp.Parsing.Token FaultingToken

Token information at which Lexer encountered the error.

Since:

October 2, 2001

Class marf.Preprocessing.FFTFilter.LowPassFilter implements Serializable

Class marf.FeatureExtraction.LPC.LPC implements Serializable

Serialized Fields

iPoles

int iPoles

Number of poles.

A pole is a root of the denominator in the Laplace transform of the input-to-output representation of the speech signal.

iWindowLen

int iWindowLen

Window length.

Class marf.Classification.Distance.MahalanobisDistance implements Serializable

Serialized Fields

oC

marf.math.Matrix oC

Covariance Matrix.

Class marf.util.MARFException implements Serializable

Serialized Fields

strMessage

java.lang.String strMessage

Our own error message container. Needed as we don't have access to the parent's. Initially an empty string.

Class marf.Classification.Markov.Markov implements Serializable

Class marf.math.MathException implements Serializable

Class marf.math.Matrix implements Serializable

Serialized Fields

iRows

int iRows

Actual number of rows in the matrix.

iCols

int iCols

Actual number of columns in the matrix.

adMatrix

double[] adMatrix

Matrix itself.

Class marf.util.Matrix implements Serializable

Serialized Fields

aiDimensions

int[] aiDimensions

Matrix dimensions.

Class marf.Classification.Stochastic.MaxProbabilityClassifier implements Serializable

Serialized Fields

oStatisticalEstimator

marf.Stats.StatisticalEstimators.StatisticalEstimator oStatisticalEstimator

Local reference to some instance of a statistical estimator for probability computation.

oAvailLanguages

java.util.Vector oAvailLanguages

A collection of available natural languages.

Class marf.Classification.Distance.MinkowskiDistance implements Serializable

Serialized Fields

r

double r

Minkowski Factor. Default is 3; r = 1 is Chebyshev distance, r = 2 is Euclidean distance.

Class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes implements Serializable

Class marf.Stats.StatisticalEstimators.MLE implements Serializable

Class marf.Classification.NeuralNetwork.NeuralNetwork implements Serializable

Serialized Fields

layers

java.util.ArrayList layers

Array of Layers.

curr

java.util.ArrayList curr

Current layer.

currLayer

int currLayer

Current layer's #.

currLayerBuf

int currLayerBuf

currLayerBuf.

currNeuron

marf.Classification.NeuralNetwork.Neuron currNeuron

Current Neuron.

neuron_type

int neuron_type

Neuron Type.

inputs

java.util.ArrayList inputs

Input layer.

outputs

java.util.ArrayList outputs

Output layer.

Class marf.Stats.Ngram implements Serializable

Serialized Fields

iSize

int iSize

0 - unset, 1 - unigram, 2 - bigram, 3 - trigram, etc.

iCapacity

int iCapacity

N-gram's current capacity. Default is 0.

aNgramElements

marf.Stats.Ngram[] aNgramElements

N-gram's parts.

Class marf.nlp.NLPException implements Serializable

Class marf.nlp.Parsing.GrammarCompiler.NonTerminal implements Serializable

Serialized Fields

Defined

boolean Defined

Flag Defined or not.

FollowSet

java.util.Vector FollowSet

Follow Set.

Class marf.util.NotImplementedException implements Serializable

Class marf.Stats.Observation implements Serializable

Serialized Fields

dPriorProbability

double dPriorProbability

dPosteriorProbability

double dPosteriorProbability

bSeen

boolean bSeen

Class marf.util.OptionProcessor.OptionsHashtable implements Serializable

Class marf.Preprocessing.Preprocessing implements Serializable

Serialized Fields

oSample

marf.Storage.Sample oSample

Sample reference.

Class marf.Preprocessing.PreprocessingException implements Serializable

Class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler implements Serializable

Class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType implements Serializable

Class marf.nlp.Parsing.ProbabilisticParser implements Serializable

Serialized Fields

oParseMatrix

double[][][] oParseMatrix

oBack

java.util.Vector[][][] oBack

oWords

java.util.Vector oWords

oGrammar

marf.nlp.Parsing.GrammarCompiler.Grammar oGrammar

Class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule implements Serializable

Serialized Fields

dProbability

double dProbability

Probability of the rule.

Class marf.Stats.ProbabilityTable implements Serializable

Serialized Fields

oColumnIndex

java.util.Vector oColumnIndex

Observations by columns. Observation's index in the vector is the on in the table Second words/chars.

oNMatrix

java.util.Vector oNMatrix

Vector of vectors of probabilities, which are Double objects. To save space null means 0.0.

strLang

java.lang.String strLang

Current natural language. Default is "en".

Class marf.Classification.RandomClassification.RandomClassification implements Serializable

Serialized Fields

oIDs

java.util.Vector oIDs

Vector of integer IDs.

Class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction implements Serializable

Class marf.util.comparators.RankComparator implements Serializable

Class marf.Preprocessing.Dummy.Raw implements Serializable

Class marf.Storage.Result implements Serializable

Serialized Fields

iID

int iID

Identified subject's ID.

strDescription

java.lang.String strDescription

Textual result description.

Since:

0.3.0

dOutcome

double dOutcome

Distance/probability.

Since:

0.3.0

Class marf.util.comparators.ResultComparator implements Serializable

Class marf.Storage.ResultSet implements Serializable

Serialized Fields

oResultSet

java.util.Vector oResultSet

Distances from other samples and other stats or probabilities and likelyhood (growable and shrinkable).

oResultSetSorted

marf.Storage.Result[] oResultSetSorted

References to the objects in the oResultSet in the sorted order.

iSortMode

int iSortMode

Used to remember in which direction sorting was performed, so some methods can work correctly. Default is UNSORTED. Otherwise, it is SortComparator.ASCENDING or SortComparator.DESCENDING. It is set by the sort() method only.

Since:

0.3.0.3

See Also:

ResultSet.getSecondClosestID(), ResultSet.sort(int), SortComparator.ASCENDING, SortComparator.DESCENDING, ResultSet.UNSORTED

Class marf.nlp.Parsing.GrammarCompiler.Rule implements Serializable

Serialized Fields

ID

int ID

ID for reference and debugging.

LHS

marf.nlp.Parsing.GrammarCompiler.NonTerminal LHS

LHS.

RHS

java.util.Vector RHS

A vector of grammar elements on the right-hand-side of a production.

Class marf.Storage.Sample implements Serializable

Serialized Fields

oAudioFileFormat

marf.Storage.MARFAudioFileFormat oAudioFileFormat

Groupping of file format data.

Since:

0.3.0.2

adSample

double[] adSample

Sample data array (amplitudes).

Class marf.FeatureExtraction.Segmentation.Segmentation implements Serializable

Class marf.nlp.Parsing.SemanticError implements Serializable

Serialized Fields

ErrorMessages

java.lang.String[] ErrorMessages

Custom error messages.

Since:

December 19, 2001

FaultingToken

marf.nlp.Parsing.Token FaultingToken

Token information at which Lexer encountered the error.

Since:

October 2, 2001

Class marf.nlp.Parsing.GrammarCompiler.SemanticToken implements Serializable

Class marf.Stats.StatisticalEstimators.SLI implements Serializable

Class marf.gui.util.SmartSizablePanel implements Serializable

Serialized Fields

iX

int iX

iY

int iY

iWidth

int iWidth

iHeight

int iHeight

Class marf.Stats.StatisticalEstimators.Smoothing.Smoothing implements Serializable

Class marf.util.SortComparator implements Serializable

Serialized Fields

iSortMode

int iSortMode

Current sorting mode: either ASCENDING or DESCENDING.

Class marf.gui.Spectrogram implements Serializable

Serialized Fields

data

java.util.Vector data

The data vector.

min

double min

Current minimum.

max

double max

Current maximum.

strMethod

java.lang.String strMethod

To differentiate file names based on the feature extraction method name.

Class marf.gui.SpectrogramPanel implements Serializable

Serialized Fields

oSpectrogram

marf.gui.Spectrogram oSpectrogram

oStatusPanel

marf.gui.util.ColoredStatusPanel oStatusPanel

Class marf.Stats.StatisticalEstimators.StatisticalEstimator implements Serializable

Serialized Fields

oProbabilityTable

marf.Stats.ProbabilityTable oProbabilityTable

oStreamTokenizer

marf.nlp.util.NLPStreamTokenizer oStreamTokenizer

Class marf.Stats.StatisticalObject implements Serializable

Serialized Fields

iFrequency

int iFrequency

Word's frequency in a given corpus. Default 0.

iRank

int iRank

Word's rank in the corpus. The rank of 1 indicates the top frequent word. Default is -1, i.e. unset.

Class marf.Classification.Stochastic.Stochastic implements Serializable

Class marf.Storage.StorageException implements Serializable

Class marf.Storage.StorageManager implements Serializable

Serialized Fields

oObjectToSerialize

java.lang.Object oObjectToSerialize

Actual object to be serialized (primarily for GZIP and BINARY modes. Has to be back-synchronized.

Since:

0.3.0

See Also:

StorageManager.backSynchronizeObject()

Class marf.nlp.Parsing.SyntaxError implements Serializable

Serialized Fields

ErrorMessages

java.lang.String[] ErrorMessages

Lexical errors.

Since:

October 2, 2001

FaultingToken

marf.nlp.Parsing.Token FaultingToken

Token information at which Parser encountered the error.

Since:

October 2, 2001

RecoveryActionCode

int RecoveryActionCode

Recovery action code specifies which action to take to recover from this error.

Class marf.nlp.Parsing.GrammarCompiler.Terminal implements Serializable

Serialized Fields

Type

marf.nlp.Parsing.GrammarCompiler.GrammarTokenType Type

Class marf.nlp.Parsing.Token implements Serializable

Serialized Fields

Lexeme

java.lang.String Lexeme

Parts of a Token.

Position

java.awt.Point Position

oTokenType

marf.nlp.Parsing.TokenSubType oTokenType

Class marf.nlp.Parsing.TokenSubType implements Serializable

Serialized Fields

subtype

int subtype

Class marf.nlp.Parsing.TokenType implements Serializable

Serialized Fields

type

int type

Current token type.

Class marf.Storage.TrainingSample implements Serializable

Serialized Fields

iSubjectID

int iSubjectID

Which subject this feature vector is associated with.

adDataVector

double[] adDataVector

Array represinting either a feature or mean vector describing the cluster.

oFilenames

java.util.Vector oFilenames

A list of filenames that were used in training for this cluster. Used to avoid duplicate training on the same filename.

Class marf.Storage.TrainingSet implements Serializable

Serialized Fields

oClusters

java.util.Vector oClusters

A Vector of Clusters.

oFeatureSet

marf.Storage.FeatureSet oFeatureSet

Feature Set as opposed to the cluster.

iPreprocessingMethod

int iPreprocessingMethod

Which preprocessing method was applied to the sample before this feature vector was extracted.

iFeatureExtractionMethod

int iFeatureExtractionMethod

Which feature extraction method was used to determine this feature vector.

Class marf.nlp.Parsing.TransitionTable implements Serializable

Serialized Fields

TT

java.util.Vector TT

Transition Table (TT) is a Vector of Vectors of Objects, such as Rules and SyntaxErrors.

NonTerminals

java.util.Vector NonTerminals

Vector of NonTerminals as "row-pointers" to TT.

Terminals

java.util.Vector Terminals

Vector of Terminals as "column-pointers" to TT.

EOFTerminalID

int EOFTerminalID

StartNonTerminalID

int StartNonTerminalID

Class marf.math.Vector implements Serializable

Class marf.gui.WaveGrapher implements Serializable

Serialized Fields

adDataArray

double[] adDataArray

Data to graph.

dXmin

double dXmin

Range of data for the X axis -- Minimum.

dXmax

double dXmax

Range of data for the X axis -- Maximum.

Class marf.gui.WaveGrapherPanel implements Serializable

Serialized Fields

oWaveGrapher

marf.gui.WaveGrapher oWaveGrapher

oStatusPanel

marf.gui.util.ColoredStatusPanel oStatusPanel

Class marf.Stats.StatisticalEstimators.Smoothing.WittenBell implements Serializable

Class marf.Stats.WordStats implements Serializable

Serialized Fields

strLexeme

java.lang.String strLexeme

Spelling of the word.

Class marf.Classification.Stochastic.ZipfLaw implements Serializable

Serialized Fields

oStats

java.util.Hashtable oStats

Local collection of stats.

oSortedStatRefs

marf.Stats.WordStats[] oSortedStatRefs

Sorted references to stats.

bDumpLog

boolean bDumpLog

Indicates whether to dump log or not.