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A

ADD_DELTA - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use Add Delta estimator/smoothing.
ADD_ONE - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use Add One estimator/smoothing.
add() - Method in class marf.util.Matrix
add(int, Object) - Method in class marf.util.FreeVector: Adds an element of the vector at the specified index.
add(Matrix, Matrix) - Static method in class marf.math.Matrix: M3 = M1 + M2.
addActiveOption(int, String) - Method in class marf.util.OptionProcessor: Allows adding an active option to the set of active options directly.
addAll(int, Collection) - Method in class marf.util.FreeVector: Adds a collection of elements to this vector starting at given index.
adDataVector - Variable in class marf.Storage.TrainingSample: Array represinting either a feature or mean vector describing the cluster.
addClassificationParam(Object) - Method in class marf.Storage.ModuleParams: Adds (appends) a single classification parameter object.
addClassificationParams(Vector) - Method in class marf.Storage.ModuleParams: Adds (appends) classification parameters vector.
AddDelta - class marf.Stats.StatisticalEstimators.Smoothing.AddDelta.: Add-Delta Smoothing Estimator.
AddDelta(double) - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.AddDelta
addEntry(int, Token) - Method in class marf.nlp.Parsing.SymbolTable
addFeatureExtractionParam(Object) - Method in class marf.Storage.ModuleParams: Adds (appends) a single feature extraction parameter object.
addFeatureExtractionParams(Vector) - Method in class marf.Storage.ModuleParams: Adds (appends) feature extraction parameters vector.
addFeatureVector(double[], int, String, int, int) - Method in class marf.Storage.FeatureSet: Appends yet another feature vector.
addFeatureVector(double[], String, int) - Method in class marf.Storage.Cluster: Adds new feature vector to the mean and recomputes the mean.
addFeatureVector(double[], String, int, int, int) - Method in class marf.Storage.TrainingSet: Adds new feature vector to the mean and recomputes the mean.
addFFT(double[]) - Method in class marf.gui.Spectrogram: Adds FFT spectrum to the data to dump.
addFilename(String) - Method in class marf.Storage.Cluster: Adds a filename to the training set.
addIDToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
addInput(Neuron, double) - Method in class marf.Classification.NeuralNetwork.Neuron: Adds an input neuron and its associated weight.
addLocation(Point) - Method in class marf.nlp.Parsing.SymTabEntry: Adds location to every occurrence of a token in the source code.
addLPC(double[], int, int) - Method in class marf.gui.Spectrogram: Adds LPC spectrum to the data to dump.
addNextRHS() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
addNextRHS() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler
addNgram(Ngram) - Method in class marf.Stats.Ngram
addNonTeminal(NonTerminal) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
AddOne - class marf.Stats.StatisticalEstimators.Smoothing.AddOne.: Add-One Smoothing Estimator.
AddOne() - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.AddOne: Merely calls super(1).
addOutput(Neuron) - Method in class marf.Classification.NeuralNetwork.Neuron: Adds an output neuron.
addParam(VarSymTabEntry) - Method in class marf.nlp.Parsing.FuncSymTabEntry: Add a new parameter.
addPreprocessingParam(Object) - Method in class marf.Storage.ModuleParams: Adds (appends) a single preprocessing parameter object.
addPreprocessingParams(Vector) - Method in class marf.Storage.ModuleParams: Adds (appends) preprocessing parameters vector.
addResult(int, double) - Method in class marf.Storage.ResultSet: Add result to the result set.
addResult(int, double, String) - Method in class marf.Storage.ResultSet: Add result to the result set.
addResult(Result) - Method in class marf.Storage.ResultSet: Add result to the result set based on already pre-constructed object.
addRHSElement(GrammarElement) - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
addRule(Rule) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
addSymbol(Token) - Method in class marf.nlp.Parsing.SymbolTable: Returns an ID of the entry inserted, so one can access it faster.
addSymbol(Token, boolean) - Method in class marf.nlp.Parsing.SymbolTable: Deprecated.
addSymbol(Token, int) - Method in class marf.nlp.Parsing.SymbolTable: Deprecated.
addTeminal(Terminal) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
addTerminalToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
addThread(Thread) - Method in class marf.util.ExpandedThreadGroup: Adds specified thread to the local reference list.
addToFirstSet(NonTerminal) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Adds a single non-terminal to the first set.
addToFirstSet(Terminal) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Adds a single terminal to the first set.
addToFirstSet(Vector) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Appends elements from the passed set to its current first set.
addToFollowSet(NonTerminal) - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Adds a single non-terminal to the follow set.
addToFollowSet(Terminal) - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Adds a single terminal to the follow set.
addToFollowSet(Vector) - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Appends elements from the passed set to its current follow set.
addToTokenList() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
addValidOption(int, String) - Method in class marf.util.OptionProcessor: Allows adding a valid option to the set of valid options.
adFeatures - Variable in class marf.FeatureExtraction.FeatureExtraction: An array of features extracted (coefficiencies and/or amplitude values).
adFreqResponse - Variable in class marf.Preprocessing.FFTFilter.FFTFilter: Frequency repsonse to be multiplied by the incoming value.
adMatrix - Variable in class marf.math.Matrix: Matrix itself.
adSample - Variable in class marf.Storage.Sample: Sample data array (amplitudes).
AIFF - Static variable in class marf.MARF: AIFF sample format.
AIFF - Static variable in class marf.Storage.MARFAudioFileFormat: AIFF sample format.
AIFFC - Static variable in class marf.MARF: AIFF-C sample format.
AIFFC - Static variable in class marf.Storage.MARFAudioFileFormat: AIFF-C sample format.
AIFFCLoader - class marf.Storage.Loaders.AIFFCLoader.: Not Implemented.
AIFFCLoader() - Constructor for class marf.Storage.Loaders.AIFFCLoader: AIFFC Loader Constructor.
AIFFLoader - class marf.Storage.Loaders.AIFFLoader.: Not Implemented.
AIFFLoader() - Constructor for class marf.Storage.Loaders.AIFFLoader: AIFF Loader Constructor.
Algorithms - class marf.math.Algorithms.: Collection of algorithms to be used by the modules.
Algorithms.FFT - class marf.math.Algorithms.FFT.: A collection of FFT-related math.
Algorithms.FFT() - Constructor for class marf.math.Algorithms.FFT
Algorithms.Hamming - class marf.math.Algorithms.Hamming.: A collection of Hamming Window-related algorithms.
Algorithms.Hamming() - Constructor for class marf.math.Algorithms.Hamming
Algorithms.LPC - class marf.math.Algorithms.LPC.: A collection of LPC-related algorithms.
Algorithms.LPC() - Constructor for class marf.math.Algorithms.LPC
AND - Static variable in class marf.nlp.Parsing.TokenSubType
ARRAY - Static variable in class marf.nlp.Parsing.VarSymTabEntry: Array.
Arrays - class marf.util.Arrays.: Extension of java.util.Arrays to allow copying array portions.
Arrays() - Constructor for class marf.util.Arrays: TODO: should we allow it? For what reason?
arrayToVector(double[]) - Static method in class marf.util.Arrays: Converts array of doubles to Vector.
arrayToVector(int[]) - Static method in class marf.util.Arrays: Converts array of ints to Vector.
ASCENDING - Static variable in class marf.util.SortComparator: Constant indicating to sort in the ascending order.
asList(Object[]) - Static method in class marf.util.Arrays: Provides an array-of-objects-to-List bridge.
ASSIGN_TYPE_MISMATCH - Static variable in class marf.nlp.Parsing.SemanticError: Type mismatch in the assignment.
AU - Static variable in class marf.MARF: AU sample format.
AU - Static variable in class marf.Storage.MARFAudioFileFormat: AU sample format.
AULoader - class marf.Storage.Loaders.AULoader.: Not Implemented.
AULoader() - Constructor for class marf.Storage.Loaders.AULoader: AU Loader Constructor.
autocorrelation(double[], int) - Static method in class marf.math.Algorithms.LPC: Implements the least-square autocorrelation method.
available - Variable in class marf.util.Logger

B

backSynchronizeObject() - Method in class marf.Preprocessing.Preprocessing: Implementaion of back-synchronization of Sample loaded object.
backSynchronizeObject() - Method in class marf.FeatureExtraction.FeatureExtraction: Implementaion of back-synchronization of loaded object.
backSynchronizeObject() - Method in class marf.Storage.StorageManager: Must to be overridden by the modules that use object serialization with the generic implementation of restore().
backSynchronizeObject() - Method in class marf.nlp.Parsing.ProbabilisticParser
BACKTRACK - Static variable in class marf.nlp.Parsing.TokenType: This indicates we have to backtrack one token and don't do any extra processing.
BAD_REAL - Static variable in class marf.nlp.Parsing.LexicalError: Badly formed real number.
BANDPASS_FFT_FILTER - Static variable in class marf.MARF: Indicates to use band-pass filter.
BandpassFilter - class marf.Preprocessing.FFTFilter.BandpassFilter.: Bandpass Filter Implementation based on the FFTFilter.
BandpassFilter(Preprocessing) - Constructor for class marf.Preprocessing.FFTFilter.BandpassFilter: Implements preprocessing pipeline.
BandpassFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.BandpassFilter: BandpassFilter Constructor.
BASE_BOOST_COEFFICIENT - Static variable in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Default boost rate of 5*PI to be applied to apmplitude values.
BaseThread - class marf.util.BaseThread.: Class BaseThread is customized base class for many of our own threads.
BaseThread() - Constructor for class marf.util.BaseThread: Default constructor.
BaseThread(ExpandedThreadGroup, Runnable) - Constructor for class marf.util.BaseThread: Assigns name to the thread and places it to the specified expanded group.
BaseThread(ExpandedThreadGroup, Runnable, String) - Constructor for class marf.util.BaseThread: Assigns name to the thread and places it to the specified expanded group.
BaseThread(ExpandedThreadGroup, String) - Constructor for class marf.util.BaseThread: Assigns name to the thread and places it to the specified expanded group.
BaseThread(int) - Constructor for class marf.util.BaseThread: Sets user-specified thread ID and resets the sequencing from it.
BaseThread(Runnable) - Constructor for class marf.util.BaseThread: Constructor with Runnable.
BaseThread(Runnable, String) - Constructor for class marf.util.BaseThread: Constructor with Runnable and thread name.
BaseThread(String) - Constructor for class marf.util.BaseThread: Assigns name to the thread.
BaseThread(ThreadGroup, Runnable, String) - Constructor for class marf.util.BaseThread: Constructor with ThreadGroup, Runnable, and thread name.
BaseThread(ThreadGroup, String) - Constructor for class marf.util.BaseThread: Assigns name to the thread and places it to the specified group.
bConnected - Variable in class marf.Storage.Database: Indicates whether we are connected or not.
BIGRAM - Static variable in interface marf.MARF.INgramModels: Indicates to use bigram language model.
bNoTimestamp - Variable in class marf.util.Logger
BorderPanel - class marf.gui.util.BorderPanel.: Utility panel class with 5-point margin border with title.
BorderPanel() - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(), except there is a titless border.
BorderPanel(boolean) - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(pbIsDoubleBuffered), except there is a titless border.
BorderPanel(LayoutManager) - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(poLayout), except there is a titless border.
BorderPanel(LayoutManager, boolean) - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(poLayout, pbIsDoubleBuffered), except there is a titless border.
BorderPanel(String) - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(), except there is a title.
BorderPanel(String, boolean) - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(pbIsDoubleBuffered), except there is a title.
BorderPanel(String, LayoutManager) - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(poLayout), except there is a title.
BorderPanel(String, LayoutManager, boolean) - Constructor for class marf.gui.util.BorderPanel: Equivalent to JPanel(poLayout, pbIsDoubleBuffered), except there is a title.
BRACKET - Static variable in class marf.nlp.Parsing.TokenType: Bracket or parenthesis token type.
Brackets - Static variable in class marf.nlp.Parsing.TokenSubType
BracketStack - Variable in class marf.nlp.Parsing.Parser: Stack for checking mismatched brackets.
bSeen - Variable in class marf.Stats.Observation
byteArrayToInt(byte[], boolean) - Static method in class marf.util.ByteUtils: Converts a byte array to int value.
byteArrayToInt(byte[], int, boolean) - Static method in class marf.util.ByteUtils: Converts a portion of a byte array with given offset to int value.
byteArrayToShort(byte[], boolean) - Static method in class marf.util.ByteUtils: Converts a byte array to short value.
byteArrayToShort(byte[], int, boolean) - Static method in class marf.util.ByteUtils: Converts a portion of a byte array with given offset to short value.
byteArrayToString(byte[]) - Static method in class marf.util.ByteUtils: Converts a byte array to String value.
byteArrayToString(byte[], int, int) - Static method in class marf.util.ByteUtils: Converts a portion of a byte array to String value.
ByteUtils - class marf.util.ByteUtils.: Byte-Array Conversion Utility Functions.
ByteUtils() - Constructor for class marf.util.ByteUtils: Allow derivatives.

C

CASE_SENSITIVE - Static variable in class marf.MARF.NLP: Indicates to use case-sesitive processing of text.
Cepstral - class marf.FeatureExtraction.Cepstral.Cepstral.: Class Cepstral.
CEPSTRAL - Static variable in class marf.MARF: Indicates to use cepstral analysis.
Cepstral(Preprocessing) - Constructor for class marf.FeatureExtraction.Cepstral.Cepstral: Cepstral Constructor.
CHARACTER_MODE - Static variable in class marf.MARF.NLP: Work in character mode.
CHEBYSHEV_DISTANCE - Static variable in class marf.MARF: Indicates to use Chebyshev distance for classification.
ChebyshevDistance - class marf.Classification.Distance.ChebyshevDistance.: Chebyshev Distance Classifier.
ChebyshevDistance(FeatureExtraction) - Constructor for class marf.Classification.Distance.ChebyshevDistance: ChebyshevDistance Constructor.
checkUndefinedNonTerminals() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
ChiSquareTest - class marf.nlp.Collocations.ChiSquareTest.: TODO: implement.
ChiSquareTest() - Constructor for class marf.nlp.Collocations.ChiSquareTest
CITYBLOCK_DISTANCE - Static variable in class marf.MARF: A synonym to Chebyshev distance.
CLASS - Static variable in class marf.nlp.Parsing.SymDataType
CLASS - Static variable in class marf.nlp.Parsing.SymTabEntry: Class Entry Type.
CLASS - Static variable in class marf.nlp.Parsing.TokenSubType
CLASS - Static variable in class marf.nlp.Parsing.VarSymTabEntry: Object.
Classification - class marf.Classification.Classification.: Abstract Classification Module.
Classification(FeatureExtraction) - Constructor for class marf.Classification.Classification: Generic Classification Constructor.
ClassificationException - exception marf.Classification.ClassificationException.: Class ClassificationException indicates an error during classification process.
ClassificationException(Exception) - Constructor for class marf.Classification.ClassificationException: Replicates parent's constructor.
ClassificationException(String) - Constructor for class marf.Classification.ClassificationException: Generic exception.
ClassificationException(String, Exception) - Constructor for class marf.Classification.ClassificationException: Replicates parent's constructor.
CLASSIFY - Static variable in class marf.MARF.NLP: Action to perform a classification task.
classify() - Method in class marf.Classification.Classification: Abstract classification routine.
classify() - Method in class marf.Classification.Markov.Markov: Not Implemented.
classify() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Neural Network implementation of classification routine.
classify() - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier: Performs language classification.
classify() - Method in class marf.Classification.Stochastic.Stochastic: Not Implemented.
classify() - Method in class marf.Classification.Distance.Distance: Classify the feature vector based on whatever distance() derivatives implement.
classify() - Method in class marf.Classification.RandomClassification.RandomClassification: Picks an ID at random.
ClassSymTabEntry - class marf.nlp.Parsing.ClassSymTabEntry.: Class SymTab Entry.
ClassSymTabEntry() - Constructor for class marf.nlp.Parsing.ClassSymTabEntry: Default Constructor.
clone() - Method in class marf.math.Matrix: Implements Clonable interface.
close() - Method in class marf.Storage.Database: Closes (file) database connection.
close() - Method in interface marf.Storage.IDatabase: Closes (file) database connection.
Cluster - class marf.Storage.Cluster.: Cluster contains a cluster information per subject.
Cluster() - Constructor for class marf.Storage.Cluster
CodeGenerator - class marf.nlp.Parsing.CodeGenerator.: Code Generator.
CodeGenerator() - Constructor for class marf.nlp.Parsing.CodeGenerator
collectStatistics(StreamTokenizer) - Method in class marf.Classification.Stochastic.ZipfLaw
CollocationWindow - class marf.nlp.Collocations.CollocationWindow.: TODO: implement.
CollocationWindow() - Constructor for class marf.nlp.Collocations.CollocationWindow
ColoredStatusPanel - class marf.gui.util.ColoredStatusPanel.: TODO: refactor and document.
ColoredStatusPanel() - Constructor for class marf.gui.util.ColoredStatusPanel
ColoredStatusPanel(int, int, int, int, int, int, int) - Constructor for class marf.gui.util.ColoredStatusPanel: Construction.
COMMA - Static variable in class marf.nlp.Parsing.TokenSubType
commit() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Applies changes made to neurons on every net's layer.
commit() - Method in class marf.Classification.NeuralNetwork.Neuron: Applies weight changes.
compare(Object, Object) - Method in class marf.util.comparators.FrequencyComparator: Implementation of the Comparator interface for the WordStats objects.
compare(Object, Object) - Method in class marf.util.comparators.RankComparator
compare(Object, Object) - Method in class marf.util.comparators.ResultComparator: Implementation of the Comparator interface for the Result objects.
compileGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Compiles grammar.
compileGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler
Compiler - class marf.nlp.Parsing.Compiler.: Compiler Class.
Compiler() - Constructor for class marf.nlp.Parsing.Compiler
CompilerError - exception marf.nlp.Parsing.CompilerError.: Generic Compiler Error.
CompilerError() - Constructor for class marf.nlp.Parsing.CompilerError: Default Constructor.
CompilerError(Exception) - Constructor for class marf.nlp.Parsing.CompilerError
CompilerError(String) - Constructor for class marf.nlp.Parsing.CompilerError
CompilerError(String, Exception) - Constructor for class marf.nlp.Parsing.CompilerError
computeFirstSets() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Computes first sets for all non-ternimals from the non-terminals list.
computeFollowSets() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Computes follow sets for all non-ternimals from the non-terminals list.
connect() - Method in class marf.Storage.Database: Connects to the database of subjects.
connect() - Method in interface marf.Storage.IDatabase: Connects to the database of subjects.
contains(GrammarElement) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: As the contains(String), but for GrammarElements.
contains(String) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Checks whether a grammar element with a given name (lexeme) exists in the corresponding list or not.
containsNonTerminal(String) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
containsTerminal(String) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
copy(double[], double[], int) - Static method in class marf.util.Arrays: Copies N double elements from source to destination.
copy(double[], int, double[]) - Static method in class marf.util.Arrays: Copies source to destination starting at certain index in the destination.
copy(double[], int, double[], int) - Static method in class marf.util.Arrays: Copies N double elements from source to destination starting at certain index in the destination.
copy(double[], int, double[], int, int) - Static method in class marf.util.Arrays: Copies N double elements from source to destination starting at certain index in the destination.
copy(int[], int[], int) - Static method in class marf.util.Arrays: Copies N int elements from source to destination.
copy(Object[], int, Object[], int, int) - Static method in class marf.util.Arrays: Generic copy() routine based on System.arraycopy().
copy(Object, int, Object, int, int) - Static method in class marf.util.Arrays: Generic copy() routine based on System.arraycopy().
create(String) - Method in class marf.nlp.Parsing.SymbolTable
createEOFTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
createEOFToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
createEpsilonToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
createEpsilonToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler
createGrammarAnalyzer() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
createGrammarAnalyzer() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler
createNextNonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
createNextToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
createNextToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer
createOrdinaryToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
createProbabilityToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer
createRule() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
createRule() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler
createToken(String, TokenSubType) - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: createToken() creates an instance of a Token data structure provided its type and lexeme, and location is calculated dynamically by the StreamTokenyzer.
createWordToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
createWordToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer
crop(int, int, int, int) - Method in class marf.math.Matrix
cropAudio(double, double) - Method in class marf.Preprocessing.Preprocessing: Derivatives implement this method to crop arbitrary part of the audio sample.
cropAudio(double, double) - Method in class marf.Preprocessing.Dummy.Dummy: Dummy implementation of cropAudio() for testing.
cropAudio(double, double) - Method in class marf.Preprocessing.Endpoint.Endpoint: Not Implemented.
cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.BandpassFilter: Stub implementation of cropAudio().
cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Stub implementation of cropAudio().
cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.HighPassFilter: Stub implementation of cropAudio().
cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.LowPassFilter: Stub implementation of cropAudio().
CURLY_CL - Static variable in class marf.nlp.Parsing.TokenSubType
CURLY_OP - Static variable in class marf.nlp.Parsing.TokenSubType
CurrentErrorCode - Variable in class marf.nlp.Parsing.CompilerError: Error code of the last error occured.
CurrentErrorString - Variable in class marf.nlp.Parsing.CompilerError: A descriptive message correspoding to a given error code.
CUSTOM - Static variable in class marf.nlp.Parsing.LexicalError: Custom error message as alterbntive to 'unknown'.
CUSTOM - Static variable in class marf.nlp.Parsing.SemanticError: Custom error message as alternative to 'unknown'.
CUSTOM - Static variable in class marf.nlp.Parsing.SyntaxError: Custom error message as alternative to 'unknown'.
cutColumn(int) - Method in class marf.math.Matrix: Shrinks a matrix by removing a specified colum from it.
cutRow(int) - Method in class marf.math.Matrix

D

data - Variable in class marf.gui.Spectrogram: The data vector.
Database - class marf.Storage.Database.: Subject database.
Database() - Constructor for class marf.Storage.Database: Default constructor with the StorageManager.
DataType - Variable in class marf.nlp.Parsing.SymTabEntry: Data type of this symbols (e.g.
dDelta - Variable in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta: Default 0.5: Expected Likelihood Estimation (ELE).
Debug - class marf.util.Debug.: Debugging Facility.
Debug() - Constructor for class marf.util.Debug
debug(String) - Static method in class marf.util.Debug
debug(String, boolean) - Static method in class marf.util.Debug
Declared - Variable in class marf.nlp.Parsing.SymTabEntry: A flag inidcating that the symbol was (true) or was not (false) resolved.
DEFAULT_ALLOWED_ERROR - Static variable in class marf.Classification.Distance.DiffDistance: Default allowed difference between two features of 0.0001.
DEFAULT_CHANNELS - Static variable in interface marf.Storage.ISampleLoader: Default 1.
DEFAULT_CHUNK_SIZE - Static variable in class marf.FeatureExtraction.FFT.FFT: Default number (1024) of doubles per chunk in the window.
DEFAULT_CHUNK_SIZE - Static variable in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction: Default number (256) of doubles per chunk in a feature vector.
DEFAULT_CHUNK_SIZE - Static variable in class marf.Storage.MARFAudioFileFormat: Default sample chunk's size (128).
DEFAULT_CHUNK_SIZE - Static variable in class marf.Storage.Sample: Default sample chunk's size (128).
DEFAULT_COLS - Static variable in class marf.math.Matrix: Default dimension of X of matrix is 4.
DEFAULT_EPOCH_NUMBER - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: Default number of epoch iterations of 64 if none supplied.
DEFAULT_FREQUENCY - Static variable in interface marf.Storage.ISampleLoader: Default sampling frequency of 8000 Hz.
DEFAULT_FREQUENCY_RESPONSE_SIZE - Static variable in class marf.Preprocessing.FFTFilter.FFTFilter: Default size of the frequency response vector, 128.
DEFAULT_HIGH_FREQUENCY_CUTOFF - Static variable in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Create a response that boosts all frequencies above 1000 Hz.
DEFAULT_MIN_ERROR - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: Default minimum training error of 0.1 if none supplied.
DEFAULT_OUTPUT_NEURON_BITS - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: How many binary Neurons in the output layer.
DEFAULT_POLES - Static variable in class marf.FeatureExtraction.LPC.LPC: Default number of poles, 20.
DEFAULT_ROWS - Static variable in class marf.math.Matrix: Default dimension of Y of matrix is 4.
DEFAULT_SAMPLE_BIT_SIZE - Static variable in interface marf.Storage.ISampleLoader: Default 16.
DEFAULT_SAMPLE_SIZE - Static variable in class marf.Storage.MARFAudioFileFormat: Default sample array's size (1024).
DEFAULT_SAMPLE_SIZE - Static variable in class marf.Storage.Sample: Default sample array's size (1024).
DEFAULT_SINE_DEVIATION - Static variable in class marf.Storage.Loaders.SineLoader: Default sine frequency deviation of 0.1 kHz, in Hz.
DEFAULT_SINE_FREQUENCY - Static variable in class marf.Storage.Loaders.SineLoader: Default sine frequency at 3 kHz, in Hz.
DEFAULT_TRAINING_CONSTANT - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: Default training constant of 1 if none supplied.
DEFAULT_TRAINING_SET_FILENAME - Static variable in class marf.Storage.TrainingSet: Default TrainingSet file name of marf.training.set.
DEFAULT_VECTOR_LENGTH - Static variable in class marf.math.Vector
DEFAULT_WINDOW_LENGTH - Static variable in class marf.FeatureExtraction.LPC.LPC: Default window length of 128 elements.
DefaultGrammarFile - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
Defined - Variable in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Flag Defined or not.
delete(String) - Method in class marf.nlp.Parsing.SymbolTable
delta - Variable in class marf.Classification.NeuralNetwork.Neuron: Used in error calculation.
DESCENDING - Static variable in class marf.util.SortComparator: Constant indicating to sort in the descending order.
DICT_WORD - Static variable in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType: Dictionary word (smth in between an identifier and a keyword).
DIFF_DISTANCE - Static variable in class marf.MARF: Indicates to use diff-distance classification.
DiffDistance - class marf.Classification.Distance.DiffDistance.: Diff-Distance Classifier.
DiffDistance(FeatureExtraction) - Constructor for class marf.Classification.Distance.DiffDistance: DiffDistance Constructor.
Dimension - Variable in class marf.nlp.Parsing.VarSymTabEntry: Dimension of an array.
display() - Method in class marf.math.Matrix: Outputs matrix in text format to STDOUT.
Distance - class marf.Classification.Distance.Distance.: Abstract Distance Classifier.
DISTANCE_FACTOR - Static variable in class marf.Classification.Distance.DiffDistance: Default distance factor to add to the difference to make the subject more distant.
distance(double[], double[]) - Method in class marf.Classification.Distance.ChebyshevDistance: Chebyshev Distance implementation.
distance(double[], double[]) - Method in class marf.Classification.Distance.DiffDistance: Diff-Distance implementation.
distance(double[], double[]) - Method in class marf.Classification.Distance.Distance: Generic distance routine.
distance(double[], double[]) - Method in class marf.Classification.Distance.EuclideanDistance: EuclideanDistance implementation.
distance(double[], double[]) - Method in class marf.Classification.Distance.MahalanobisDistance: Partial MahalanobisDistance implementation.
distance(double[], double[]) - Method in class marf.Classification.Distance.MinkowskiDistance: Minkowski Distance implementation.
Distance(FeatureExtraction) - Constructor for class marf.Classification.Distance.Distance: Distance Constructor.
divide(Matrix, double) - Static method in class marf.math.Matrix: M = M / d.
DO - Static variable in class marf.nlp.Parsing.TokenSubType
doFFT(double[], double[], double[], double[], int) - Static method in class marf.math.Algorithms.FFT: FFT algorithm, translated from "Numerical Recipes in C++" that implements the Fast Fourier Transform, which performs a discrete Fourier transform in O(n*log(n)).
doLPC(double[], double[], double[], int) - Static method in class marf.math.Algorithms.LPC: Does the LPC algorithm.
dOutcome - Variable in class marf.Storage.Result: Distance/probability.
dPosteriorProbability - Variable in class marf.Stats.Observation
dPriorProbability - Variable in class marf.Stats.Observation
dProbability - Variable in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule: Probability of the rule.
Dummy - class marf.Preprocessing.Dummy.Dummy.: Implements dummy preprocessing module for testing purposes that does only normalization.
DUMMY - Static variable in class marf.MARF: Indicates to use Dummy preprocessing module (just normalization).
Dummy(Preprocessing) - Constructor for class marf.Preprocessing.Dummy.Dummy: Implementation of the preprocessing pipeline.
Dummy(Sample) - Constructor for class marf.Preprocessing.Dummy.Dummy: Dummy Constructor.
DUMP_BINARY - Static variable in interface marf.Storage.IStorageManager: Indicates to dump/restore set data as uncompressed binary file.
DUMP_CSV_TEXT - Static variable in interface marf.Storage.IStorageManager: Indicates to dump/restore data as CSV text file.
DUMP_GZIP_BINARY - Static variable in interface marf.Storage.IStorageManager: Indicates to dump/restore data as gzipped binary file.
DUMP_HTML - Static variable in interface marf.Storage.IStorageManager: Indicates to dump/restore data as an HTML file.
DUMP_SQL - Static variable in interface marf.Storage.IStorageManager: Indicates to dump/restore data as a set of SQL commands.
DUMP_XML - Static variable in interface marf.Storage.IStorageManager: Indicates to dump/restore data as XML file.
dump() - Method in class marf.Classification.Classification: Generic implementation of dump() to dump the TrainingSet.
dump() - Method in class marf.Classification.Markov.Markov: Not Implemented.
dump() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Dumps Neural Net to an XML file.
dump() - Method in class marf.Classification.Stochastic.Stochastic: Not Implemented.
dump() - Method in class marf.Classification.RandomClassification.RandomClassification: Dumps "training set" of IDs.
dump() - Method in interface marf.Storage.IStorageManager: An object must know how dump itself to a file.
dump() - Method in class marf.Storage.StorageManager: An object must know how dump itself or its data structures to a file.
dump() - Method in class marf.Storage.TrainingSet: Dump the current training set to disk.
dump() - Method in class marf.gui.Spectrogram: Dumps spectrogram.
dump() - Method in class marf.gui.WaveGrapher: Dumps graph of wave in the CSV format.
dumpAll() - Method in class marf.Classification.Stochastic.ZipfLaw
dumpBackPointersContents() - Method in class marf.nlp.Parsing.ProbabilisticParser
dumpBinary() - Method in interface marf.Storage.IStorageManager: Implement to save data structures as binary.
dumpBinary() - Method in class marf.Storage.StorageManager: Implements object dump in plain binary form without compression.
dumpCSV() - Method in class marf.Stats.ProbabilityTable
dumpCSV() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
dumpCSV() - Method in interface marf.Storage.IStorageManager: Implement to save data structures in CSV format.
dumpCSV() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of dump() with the CSV dump mode, they must override this method.
dumpCSV(BufferedWriter) - Method in class marf.Storage.TrainingSample: Writes one training sample to a CSV file.
dumpGraphValues() - Method in class marf.Classification.Stochastic.ZipfLaw: Dumps CVS values of the rank and frequency into a file.
dumpGzipBinary() - Method in interface marf.Storage.IStorageManager: Implement to save data structures as compressed binary.
dumpGzipBinary() - Method in class marf.Storage.StorageManager: Implements object dump in GZIP-compressed form.
dumpHTML() - Method in interface marf.Storage.IStorageManager: Implement to save data structures as HTML document.
dumpHTML() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of dump() with the HTML dump mode, they must override this method.
dumpParseMatrix() - Method in class marf.nlp.Parsing.ProbabilisticParser
dumpParseTree() - Method in class marf.nlp.Parsing.ProbabilisticParser
dumpParseTree(int, int, int, int) - Method in class marf.nlp.Parsing.ProbabilisticParser: Initial level of S non-terminal should be 0.
dumpSQL() - Method in interface marf.Storage.IStorageManager: Implement to save data structures as SQL script.
dumpSQL() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of dump() with the SQL dump mode, they must override this method.
dumpXML() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
dumpXML() - Method in interface marf.Storage.IStorageManager: Implement to save data structures as XML document.
dumpXML() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of dump() with the XML dump mode, they must override this method.
dumpXML(String) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Dumps Neural Network as XML file.
DW_SIZE - Static variable in class marf.nlp.Parsing.CodeGenerator: Double-Word size in bytes.

E

EAST - Static variable in class marf.math.Matrix.Direction: Indicates East direction.
elementAt(int) - Method in class marf.util.FreeVector: Access an element of the vector given index.
elementAt(int[]) - Method in class marf.util.Matrix
ELSE - Static variable in class marf.nlp.Parsing.TokenSubType
enableDebug(boolean) - Static method in class marf.util.Debug
Endpoint - class marf.Preprocessing.Endpoint.Endpoint.: Class Endpoint.
ENDPOINT - Static variable in class marf.MARF: Indicates to use endpointing.
Endpoint(Preprocessing) - Constructor for class marf.Preprocessing.Endpoint.Endpoint: Preprocessing pipeline constructor.
Endpoint(Sample) - Constructor for class marf.Preprocessing.Endpoint.Endpoint: Endpoint Constructor.
ensureIndexCapacity(int) - Method in class marf.util.FreeVector: Make sure the capacity of the vector is enough to hold an element with the specified index.
EntryType - Variable in class marf.nlp.Parsing.SymTabEntry: Current Entry type.
enumerate(boolean) - Method in class marf.util.ExpandedThreadGroup: Provides an enumeration that allocates a new array and populates it with currently active threads with ThreadGroup's enumerate().
EOF - Static variable in class marf.nlp.Parsing.TokenType: End of File.
EOFTerminal - Variable in class marf.nlp.Parsing.GrammarCompiler.Grammar: A static EOF reference.
EOFTerminalID - Variable in class marf.nlp.Parsing.TransitionTable
EPSILON - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: This indicates the epsilon in the grammar tokens.
EpsilonTerminal - Variable in class marf.nlp.Parsing.GrammarCompiler.Grammar: The epsilon token.
equals(boolean[], boolean[]) - Static method in class marf.util.Arrays
equals(byte[], byte[]) - Static method in class marf.util.Arrays
equals(char[], char[]) - Static method in class marf.util.Arrays
equals(double[], double[]) - Static method in class marf.util.Arrays
equals(float[], float[]) - Static method in class marf.util.Arrays
equals(int[], int[]) - Static method in class marf.util.Arrays
equals(long[], long[]) - Static method in class marf.util.Arrays
equals(Matrix) - Method in class marf.math.Matrix: this == M.
equals(Matrix, Matrix) - Static method in class marf.math.Matrix: M1 == M2.
equals(Object[], Object[]) - Static method in class marf.util.Arrays
equals(short[], short[]) - Static method in class marf.util.Arrays
ERROR - Static variable in class marf.nlp.Parsing.TokenType: This indicates an error in the token.
ErrorLogFilename - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer: File name of a file which serves as an lexical errors log.
ErrorsPresent - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer
EUCLIDEAN_DISTANCE - Static variable in class marf.MARF: Indicates to use Euclidean distance for classification.
EuclideanDistance - class marf.Classification.Distance.EuclideanDistance.: Class EuclideanDistance.
EuclideanDistance(FeatureExtraction) - Constructor for class marf.Classification.Distance.EuclideanDistance: EuclideanDistance Constructor.
eval() - Method in class marf.Classification.NeuralNetwork.Neuron: Evaluates current neuron's value.
exhaustMatrix() - Method in class marf.math.Matrix: "Destroys" the internal array matrix by setting it to null.
existsFilename(String) - Method in class marf.Storage.Cluster: Checks existance of the file in the training set.
ExpandedThreadGroup - class marf.util.ExpandedThreadGroup.: Provides some useful extensions to java.lang.ThreadGroup one would normally expect to be in a "group".
ExpandedThreadGroup(ExpandedThreadGroup, String) - Constructor for class marf.util.ExpandedThreadGroup: Mimics parent's constructor.
ExpandedThreadGroup(String) - Constructor for class marf.util.ExpandedThreadGroup: Mimics parent's constructor.
ExpandedThreadGroup(ThreadGroup, String) - Constructor for class marf.util.ExpandedThreadGroup: ThreadGroup and name constructor inherited from the parent.
EXPR_TYPE_MISMATCH - Static variable in class marf.nlp.Parsing.SemanticError: Type mismatch in an expression.
extend(Matrix) - Method in class marf.math.Matrix
extend(Matrix, Matrix.Direction) - Method in class marf.math.Matrix
EXTRA_CLOSING_COMMENT - Static variable in class marf.nlp.Parsing.LexicalError: Mismatched comment.
extractFeatures() - Method in class marf.FeatureExtraction.FeatureExtraction: Abstract feature extraction routine.
extractFeatures() - Method in class marf.FeatureExtraction.FFT.FFT: FFT Implementation of extractFeatures().
extractFeatures() - Method in class marf.FeatureExtraction.LPC.LPC: LPC Implementation of extractFeatures().
extractFeatures() - Method in class marf.FeatureExtraction.F0.F0: Not Implemented.
extractFeatures() - Method in class marf.FeatureExtraction.Cepstral.Cepstral: Not Implemented.
extractFeatures() - Method in class marf.FeatureExtraction.Segmentation.Segmentation: Not Implemented.
extractFeatures() - Method in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction: Random Gaussian-based feature extracton.
extractFeatures() - Method in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes: MinMaxAmplitudes implementation of extractFeatures().

F

F0 - class marf.FeatureExtraction.F0.F0.: Class F0.
F0 - Static variable in class marf.MARF: Indicates to use F0.
F0(Preprocessing) - Constructor for class marf.FeatureExtraction.F0.F0: F0 Constructor.
FaultingToken - Variable in class marf.nlp.Parsing.LexicalError: Token information at which Lexer encountered the error.
FaultingToken - Variable in class marf.nlp.Parsing.SemanticError: Token information at which Lexer encountered the error.
FaultingToken - Variable in class marf.nlp.Parsing.SyntaxError: Token information at which Parser encountered the error.
FeatureExtraction - class marf.FeatureExtraction.FeatureExtraction.: Generic Feature Extraction Module.
FeatureExtraction(Preprocessing) - Constructor for class marf.FeatureExtraction.FeatureExtraction: Main FeatureExtraction constructor.
FeatureExtractionException - exception marf.FeatureExtraction.FeatureExtractionException.: Class FeatureExtractionException.
FeatureExtractionException(Exception) - Constructor for class marf.FeatureExtraction.FeatureExtractionException: Encapsulation of another Exception object.
FeatureExtractionException(String) - Constructor for class marf.FeatureExtraction.FeatureExtractionException: Generic exception.
FeatureExtractionException(String, Exception) - Constructor for class marf.FeatureExtraction.FeatureExtractionException: Encapsulation of another Exception object and a new message.
FeatureSet - class marf.Storage.FeatureSet.: FeatureSet -- Encapsulates Subject ID and subject's "feature" sets.
FeatureSet() - Constructor for class marf.Storage.FeatureSet: Construct a training set object.
FFT - class marf.FeatureExtraction.FFT.FFT.: Class FFT implements Fast Fourier Transform.
FFT - Static variable in class marf.MARF: Indicates to use FFT.
FFT(Preprocessing) - Constructor for class marf.FeatureExtraction.FFT.FFT: FFT Constructor.
FFTFilter - class marf.Preprocessing.FFTFilter.FFTFilter.: FFTFilter class implements filtering using the FFT algorithm.
FFTFilter(Preprocessing) - Constructor for class marf.Preprocessing.FFTFilter.FFTFilter: Pipelined constructor.
FFTFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.FFTFilter: FFTFilter Constructor.
filename - Variable in class marf.util.Logger
fill(boolean[], boolean) - Static method in class marf.util.Arrays
fill(boolean[], int, int, boolean) - Static method in class marf.util.Arrays
fill(byte[], byte) - Static method in class marf.util.Arrays
fill(byte[], int, int, byte) - Static method in class marf.util.Arrays
fill(char[], char) - Static method in class marf.util.Arrays
fill(char[], int, int, char) - Static method in class marf.util.Arrays
fill(double[], double) - Static method in class marf.util.Arrays
fill(double[], int, int, double) - Static method in class marf.util.Arrays
fill(float[], float) - Static method in class marf.util.Arrays
fill(float[], int, int, float) - Static method in class marf.util.Arrays
fill(int[], int) - Static method in class marf.util.Arrays
fill(int[], int, int, int) - Static method in class marf.util.Arrays
fill(long[], int, int, long) - Static method in class marf.util.Arrays
fill(long[], long) - Static method in class marf.util.Arrays
fill(Object[], int, int, Object) - Static method in class marf.util.Arrays
fill(Object[], Object) - Static method in class marf.util.Arrays
fill(short[], int, int, short) - Static method in class marf.util.Arrays
fill(short[], short) - Static method in class marf.util.Arrays
filter(double[], double[]) - Method in class marf.Preprocessing.FFTFilter.FFTFilter: Perform a filter by the following algorithm: (1) sample -> window -> FFT -> buffer
(2) buffer * frequency response
(3) buffer -> IFFT -> window -> sample.
FirstSet - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: FirstSet of us.
FirstSetsFile - Variable in class marf.nlp.Parsing.GrammarCompiler.Grammar
FollowSet - Variable in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Follow Set.
FollowSetsFile - Variable in class marf.nlp.Parsing.GrammarCompiler.Grammar
FreeVector - class marf.util.FreeVector.: Adaptive extension of the java.util.Vector class.
FreeVector() - Constructor for class marf.util.FreeVector: A free vector with default capacity as specified by java.util.Vector.
FreeVector(Collection) - Constructor for class marf.util.FreeVector: Constructs this vector out of a collection.
FreeVector(int) - Constructor for class marf.util.FreeVector: Constructs this vector given capacity other than default.
FreeVector(int, int) - Constructor for class marf.util.FreeVector: Constructs this vector given capacity and its increment.
FrequencyComparator - class marf.util.comparators.FrequencyComparator.: Compare WordStat objects by their frequency when sorting.
FrequencyComparator(int) - Constructor for class marf.util.comparators.FrequencyComparator
FuncSymTabEntry - class marf.nlp.Parsing.FuncSymTabEntry.: Function SymTab Entry.
FuncSymTabEntry() - Constructor for class marf.nlp.Parsing.FuncSymTabEntry: Constructor.
FUNCTION - Static variable in class marf.nlp.Parsing.SymDataType
FUNCTION - Static variable in class marf.nlp.Parsing.SymTabEntry: Function entry type.

G

genAdd() - Static method in class marf.nlp.Parsing.CodeGenerator
genAnd() - Static method in class marf.nlp.Parsing.CodeGenerator
genClass() - Static method in class marf.nlp.Parsing.CodeGenerator
GenCodeLocations - Variable in class marf.nlp.Parsing.SymTabEntry: Locations in generated code (point, x - base, y - offset).
genDivide() - Static method in class marf.nlp.Parsing.CodeGenerator
GENERAL_SYNTAX_ERROR - Static variable in class marf.nlp.Parsing.SyntaxError: General Syntax Error.
generate(int, int[], int) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Generates a virgin net at random.
genereateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.BandpassFilter: Creates band-pass frequency response coefficients and sets applies them to the frequency response vector.
genereateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.FFTFilter: Creates frequency response coefficients and sets applies them to the frequency response vector.
genereateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Creates high-frequency boost response coefficients and sets applies them to the frequency response vector.
genereateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.HighPassFilter: Creates high-pass frequency response coefficients and sets applies them to the frequency response vector.
genereateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.LowPassFilter: Creates low-pass frequency response coefficients and sets applies them to the frequency response vector.
GenericLexicalAnalyzer - class marf.nlp.Parsing.GenericLexicalAnalyzer.: GenericLexicalAnalyzer Class.
GenericLexicalAnalyzer(SymbolTable) - Constructor for class marf.nlp.Parsing.GenericLexicalAnalyzer: Constructor.
genFunction() - Static method in class marf.nlp.Parsing.CodeGenerator
genMain() - Static method in class marf.nlp.Parsing.CodeGenerator
genMultiply() - Static method in class marf.nlp.Parsing.CodeGenerator
genNot() - Static method in class marf.nlp.Parsing.CodeGenerator
genOr() - Static method in class marf.nlp.Parsing.CodeGenerator
genRead() - Static method in class marf.nlp.Parsing.CodeGenerator
genReturn() - Static method in class marf.nlp.Parsing.CodeGenerator
genSubs() - Static method in class marf.nlp.Parsing.CodeGenerator
genVar() - Static method in class marf.nlp.Parsing.CodeGenerator
genWhile() - Static method in class marf.nlp.Parsing.CodeGenerator
genWrite() - Static method in class marf.nlp.Parsing.CodeGenerator
get(int) - Method in class marf.util.FreeVector: Access an element of the vector given index.
getActiveOptions() - Method in class marf.util.OptionProcessor: Allows querying for the set of active options.
getArrayDimension() - Method in class marf.nlp.Parsing.VarSymTabEntry
getAudioFormat() - Method in class marf.Storage.MARFAudioFileFormat: Retrieves current sample's format.
getAudioFormat() - Method in class marf.Storage.Sample: Retrieves current sample's format.
getAverageID() - Method in class marf.Storage.ResultSet: Retrieves ID of a subject with average distance/probability.
getAverageResult() - Method in class marf.Storage.ResultSet: Retrieves the result from the result set with the average outcome value.
getBusted() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
getCardinality() - Method in class marf.util.Matrix
getClassification() - Static method in class marf.MARF: Retrieves current Classification reference.
getClassificationMethod() - Static method in class marf.MARF: Gets classification method to be used.
getClassificationParams() - Method in class marf.Storage.ModuleParams: Retrieves Classification module's parameters.
getClusters() - Method in class marf.Storage.TrainingSet: Retrieves clusters of training samples.
getCols() - Method in class marf.math.Matrix
getConfig() - Static method in class marf.MARF: Returns a string representation of the current MARF configuration.
getCrossProduct(Vector, Vector) - Method in class marf.math.Vector
getCurrentErrorCode() - Method in class marf.nlp.Parsing.CompilerError: Access method for the CurrentErrorCode property.
getCurrentErrorString() - Method in class marf.nlp.Parsing.CompilerError: Access method for the CurrentErrorString property.
getCurrentStatus() - Method in class marf.gui.util.ColoredStatusPanel
getCurrentSubject() - Static method in class marf.MARF: Gets ID of a subject currently being trained on.
getDataType() - Method in class marf.nlp.Parsing.ClassSymTabEntry: Can return only CLASS.
getDataType() - Method in class marf.nlp.Parsing.FuncSymTabEntry: Cannot be anyther other than FUNCTION.
getDataType() - Method in class marf.nlp.Parsing.SymTabEntry: Get data type.
getDataVector() - Method in class marf.Storage.TrainingSample: Retrieves the data vector.
getDefaultExtension() - Method in class marf.Storage.StorageManager: Retrieves default filename extension of this storage manager.
getDefaultExtension(int) - Static method in class marf.Storage.StorageManager: Retrieves default filename extension depending on dump type.
getDelta() - Method in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta
getDescription() - Method in class marf.Storage.Result: Retrieves textual description of the result.
getDeterminant() - Method in class marf.math.Matrix: Calculates determinant of this matrix.
getDimention(int) - Method in class marf.util.Matrix
getDirection() - Method in class marf.math.Matrix.Direction
getDotProduct(Vector, Vector) - Method in class marf.math.Vector
getDumpMode() - Method in class marf.Storage.StorageManager: Retrieves current dump mode.
getDumpSpectrogram() - Static method in class marf.MARF: Whether spectrogram wanted or not.
getDumpWaveGraph() - Static method in class marf.MARF: Whether wave graph wanted or not.
getElement(int) - Method in class marf.math.Vector
getElement(int, int) - Method in class marf.math.Matrix
getElements() - Method in class marf.math.Matrix: Returns number of the elements of the matrix.
getEntryAt(NonTerminal, Terminal) - Method in class marf.nlp.Parsing.TransitionTable: Gets a table entry at a given position (NonTerminal, Terminal).
getEntryAt(NonTerminal, Token) - Method in class marf.nlp.Parsing.TransitionTable: Gets a table entry at a given position (NonTerminal, Token).
getEOFTerminal() - Method in class marf.nlp.Parsing.TransitionTable
getErrorLogFilename() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Access method for the ErrorLogFilename property.
getErrorsPresent() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Determines if the ErrorsPresent property is true.
getFeatureExtraction() - Static method in class marf.MARF: Retrieves current FeatureExtraction reference.
getFeatureExtractionMethod() - Static method in class marf.MARF: Gets currently selected feature extraction method.
getFeatureExtractionMethod() - Method in class marf.Storage.TrainingSet: Returns preprocessing method used on this training set.
getFeatureExtractionParams() - Method in class marf.Storage.ModuleParams: Retrieves Feature Extraction module's parameters.
getFeaturesArray() - Method in class marf.FeatureExtraction.FeatureExtraction: Allows retrieval of the internal feature vector.
getFeatureVectors() - Method in class marf.Storage.FeatureSet: Retrieves training samples.
getFilename() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
getFilename() - Method in class marf.Storage.StorageManager: Retrieves inner filename reference.
getFirstSet() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
getFollowSet() - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal
getFrequency() - Method in class marf.Stats.StatisticalObject
getGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
getGrammarElement(String) - Method in class marf.nlp.Parsing.TransitionTable: Gets grammar element by its name (lexeme).
getGrammarElement(String) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Returns a grammar element object by it's name (lexeme) if it exists; null otherwise.
getGrammarFileName() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
getHeight() - Method in class marf.gui.util.SmartSizablePanel
getID() - Method in class marf.Storage.Result: Returns result's ID.
getID() - Method in class marf.nlp.Parsing.SymTabEntry
getID() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
getID() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
getIDByFilename(String, boolean) - Method in class marf.Storage.Database: Given ID, fetches the corresponding filename.
getIDByFilename(String, boolean) - Method in interface marf.Storage.IDatabase: Given ID, fetches the corresponding filename.
getInnerProduct(Vector, Vector) - Method in class marf.math.Vector
getIntVersion() - Static method in class marf.MARF: Returns an integer representation of the MARF version.
getInvalidOptions() - Method in class marf.util.OptionProcessor: Allows querying for the set of invalid options.
getLang() - Method in class marf.Stats.ProbabilityTable
getLang() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
getLanguage() - Static method in class marf.MARF.NLP: Retrieves current language being processed.
getLength() - Method in class marf.math.Vector
getLexeme() - Method in class marf.Stats.WordStats
getLexeme() - Method in class marf.nlp.Parsing.Token: Access method for the Lexeme property.
getLexicalErrors() - Method in class marf.nlp.Parsing.LexicalAnalyzer: Returns the list of lexical errors.
getLexicalGrammarErrors() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
getLHS() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
getLineNo() - Method in class marf.nlp.Parsing.CompilerError: Access method for the LineNo property.
getLocalSymTab() - Method in class marf.nlp.Parsing.SymTabEntry
getLocationsList() - Method in class marf.nlp.Parsing.SymTabEntry: Get list of occurrences of this token entry.
getLowerBound() - Method in class marf.gui.util.ColoredStatusPanel
getMatrix2D() - Method in class marf.math.Matrix: Returns internal matrix representation as 2-dimensional array of doubles.
getMatrixArray() - Method in class marf.math.Matrix
getMaximumID() - Method in class marf.Storage.ResultSet: Retrieves ID of a subject with maximum distance/probability.
getMaximumResult() - Method in class marf.Storage.ResultSet: Retrieves the result from the result set with the maximum outcome value.
getMeanCount() - Method in class marf.Storage.Cluster: Retrieves current mean count.
getMeanVector() - Method in class marf.Storage.Cluster: Retrieves the mean vector.
getMessage() - Method in class marf.util.MARFException: Returns string representation of the error message.
getMinimumResult() - Method in class marf.Storage.ResultSet: Retrieves the result from the result set with the minimum outcome value.
getMininumID() - Method in class marf.Storage.ResultSet: Retrieves ID of a subject with minimum distance/probability.
getModuleParams() - Static method in class marf.MARF: Gets module-specific parameters an application programmer passed on to the module.
getName() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
getName(int) - Method in class marf.Storage.Database: Retrieves subject's name by their ID.
getName(int) - Method in interface marf.Storage.IDatabase: Retrieves subject's name by their ID.
getNextChunk(double[]) - Method in class marf.Storage.Sample: Gets the next chunk of audio data and places it into padChunkArray.
getNextRHSToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
getNextTID() - Static method in class marf.util.BaseThread: Lets to examine the next TID to be assigned.
getNextToken() - Method in class marf.nlp.util.NLPStreamTokenizer
getNextToken() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Core method of the LexicalAnalyzer.
getNextToken() - Method in class marf.nlp.Parsing.LexicalAnalyzer: Core method of the C+- LexicalAnalyzer.
getNextToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Returns Next GrammarToken.
getNgramModel() - Static method in class marf.MARF.NLP: Retrieves current n-gram modeld.
getNonTerminalList() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
getNonTerminals() - Method in class marf.nlp.Parsing.TransitionTable: NonTerminals property accessor.
getOccurence(int) - Method in class marf.Stats.ProbabilityTable
getOccurence(int, int) - Method in class marf.Stats.ProbabilityTable
getOccurence(int, int, int) - Method in class marf.Stats.ProbabilityTable
getOccurence(Vector) - Method in class marf.Stats.ProbabilityTable
getOption(String) - Method in class marf.util.OptionProcessor: Returns numerical equivalent of a an option string.
getOutcome() - Method in class marf.Storage.Result: Retrieves the outcome value.
getOutputFilename() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Access method for the OutputFilename property.
getParams() - Method in class marf.nlp.Parsing.FuncSymTabEntry
getPosition() - Method in class marf.nlp.Parsing.Token: Access method for the Position property.
getPreprocessing() - Static method in class marf.MARF: Retrieves current Preprocessing reference.
getPreprocessingMethod() - Static method in class marf.MARF: Gets currently selected preprocessing method.
getPreprocessingMethod() - Method in class marf.Storage.TrainingSet: Returns preprocessing method used on this training set.
getPreprocessingParams() - Method in class marf.Storage.ModuleParams: Retrieves Preprocessing module's parameters.
getProbability() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule: Retrieves probability of the rule.
getProbabilityTable() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
getRandomID() - Method in class marf.Storage.ResultSet: Retrieves a pseudo random ID of a subject.
getRandomResult() - Method in class marf.Storage.ResultSet: Retrieves pseudo-random result object from the result set.
getRank() - Method in class marf.Stats.StatisticalObject
getRes() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Gets outputs of a neural network run.
getResult() - Static method in class marf.MARF: Gets the entire Result object of the likely outcome.
getResult() - Method in class marf.Classification.Classification: Retrieves the likely classification result.
getResult() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Retrieves the minimum-error classification result.
getResult() - Method in class marf.Classification.Stochastic.Stochastic: Retrieves the maximum-probability classification result.
getResult() - Method in class marf.Classification.Distance.Distance: Retrieves the minimum-distance classification result.
getResult() - Method in class marf.Classification.RandomClassification.RandomClassification: Retrieves the classification result.
getResultSet() - Static method in class marf.MARF: Gets the entire collection of results.
getResultSet() - Method in class marf.Classification.Classification: Retrieves the enclosed result set.
getResultSetVector() - Method in class marf.Storage.ResultSet: Retrieves the underlying unsorted result collection.
getRetValDataType() - Method in class marf.nlp.Parsing.FuncSymTabEntry
getRevision() - Static method in class marf.MARF: Retrieves class' revision.
getRevision() - Static method in class marf.Preprocessing.PreprocessingException: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.Preprocessing: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.Dummy.Dummy: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.Dummy.Raw: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.Endpoint.Endpoint: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.FFTFilter.BandpassFilter: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.FFTFilter.FFTFilter: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.FFTFilter.HighPassFilter: Returns source code revision information.
getRevision() - Static method in class marf.Preprocessing.FFTFilter.LowPassFilter: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.FeatureExtractionException: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.FeatureExtraction: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.FFT.FFT: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.LPC.LPC: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.F0.F0: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.Cepstral.Cepstral: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.Segmentation.Segmentation: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction: Returns source code revision information.
getRevision() - Static method in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes: Returns source code revision information.
getRevision() - Static method in class marf.Classification.ClassificationException: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Classification: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Markov.Markov: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.NeuralNetwork.Layer: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.NeuralNetwork.NeuralNetwork: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.NeuralNetwork.Neuron: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Stochastic.MaxProbabilityClassifier: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Stochastic.Stochastic: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Stochastic.ZipfLaw: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Distance.ChebyshevDistance: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Distance.DiffDistance: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Distance.Distance: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Distance.EuclideanDistance: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Distance.MahalanobisDistance: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.Distance.MinkowskiDistance: Retrieves class' revision.
getRevision() - Static method in class marf.Classification.RandomClassification.RandomClassification: Retrieves class' revision.
getRevision() - Static method in class marf.Stats.Ngram: Returns source code revision information.
getRevision() - Static method in class marf.Stats.Observation: Returns source code revision information.
getRevision() - Static method in class marf.Stats.ProbabilityTable: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalObject: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatsCollector: Returns source code revision information.
getRevision() - Static method in class marf.Stats.WordStats: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.GLI: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.KatzBackoff: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.MLE: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.SLI: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.StatisticalEstimator: Retrieves class' revision.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.AddOne: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.Smoothing: Returns source code revision information.
getRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.WittenBell: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Cluster: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Database: Returns source code revision information.
getRevision() - Static method in class marf.Storage.FeatureSet: Returns source code revision information.
getRevision() - Static method in class marf.Storage.MARFAudioFileFormat: Returns source code revision information.
getRevision() - Static method in class marf.Storage.ModuleParams: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Result: Returns source code revision information.
getRevision() - Static method in class marf.Storage.ResultSet: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Sample: Retrieves class' revision.
getRevision() - Static method in class marf.Storage.SampleLoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.StorageException: Returns source code revision information.
getRevision() - Static method in class marf.Storage.StorageManager: Returns source code revision information.
getRevision() - Static method in class marf.Storage.TrainingSample: Returns source code revision information.
getRevision() - Static method in class marf.Storage.TrainingSet: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.AIFFCLoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.AIFFLoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.AULoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.MIDILoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.MP3Loader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.SineLoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.SNDLoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.ULAWLoader: Returns source code revision information.
getRevision() - Static method in class marf.Storage.Loaders.WAVLoader: Returns source code revision information.
getRevision() - Static method in class marf.gui.Spectrogram: Returns source code revision information.
getRevision() - Static method in class marf.gui.SpectrogramPanel: Returns source code revision information.
getRevision() - Static method in class marf.gui.WaveGrapher: Returns source code revision information.
getRevision() - Static method in class marf.gui.WaveGrapherPanel: Returns source code revision information.
getRevision() - Static method in class marf.gui.util.BorderPanel: Retrieves class' revision.
getRevision() - Static method in class marf.gui.util.ColoredStatusPanel: Retrieves class' revision.
getRevision() - Static method in class marf.gui.util.SmartSizablePanel: Retrieves class' revision.
getRevision() - Static method in class marf.math.Algorithms: Returns source code revision information.
getRevision() - Static method in class marf.math.MathException: Returns source code revision information.
getRevision() - Static method in class marf.math.Matrix: Retrieves class' revision.
getRevision() - Static method in class marf.math.Vector: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.util.NLPStreamTokenizer: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Stemming.StemmingEN: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Stemming.Stemming: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Parsing.ClassSymTabEntry: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Parsing.CodeGenerator: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Parsing.CompilerError: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.Compiler: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.FuncSymTabEntry: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.LexicalAnalyzer: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.LexicalError: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.Parser: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.ProbabilisticParser: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.SemanticAnalyzer: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Parsing.SemanticError: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Parsing.SymbolTable: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.SymDataType: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.SymTabEntry: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.SyntaxError: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.Token: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.TokenSubType: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.TokenType: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.TransitionTable: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.VarSymTabEntry: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.Rule: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.SemanticToken: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.Terminal: Retrieves class' revision.
getRevision() - Static method in class marf.nlp.Collocations.ChiSquareTest: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Collocations.CollocationWindow: Returns source code revision information.
getRevision() - Static method in class marf.nlp.Collocations.TTest: Returns source code revision information.
getRevision() - Static method in class marf.util.Arrays: Returns source code revision information.
getRevision() - Static method in class marf.util.BaseThread: Retrieves class' revision.
getRevision() - Static method in class marf.util.ByteUtils: Returns source code revision information.
getRevision() - Static method in class marf.util.Debug: Retrieves class' revision.
getRevision() - Static method in class marf.util.ExpandedThreadGroup: Retrieves class' revision.
getRevision() - Static method in class marf.util.FreeVector: Retrieves class' revision.
getRevision() - Static method in class marf.util.InvalidSampleFormatException: Returns source code revision information.
getRevision() - Static method in class marf.util.Logger: Returns source code revision information.
getRevision() - Static method in class marf.util.MARFException: Returns source code revision information.
getRevision() - Static method in class marf.util.Matrix: Retrieves class' revision.
getRevision() - Static method in class marf.util.NotImplementedException: Returns source code revision information.
getRevision() - Static method in class marf.util.OptionProcessor: Retrieves class' revision.
getRevision() - Static method in class marf.util.SortComparator: Returns source code revision information.
getRevision() - Static method in class marf.util.comparators.FrequencyComparator: Returns source code revision information.
getRevision() - Static method in class marf.util.comparators.RankComparator: Returns source code revision information.
getRevision() - Static method in class marf.util.comparators.ResultComparator: Returns source code revision information.
getRevision() - Static method in class test: Returns source code revision information.
getRHS() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
getRHSFirstSet(GrammarElement) - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
getRows() - Method in class marf.math.Matrix
getRule(int, int, int) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
getRule(String, int) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
getRules() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
getSample() - Static method in class marf.MARF: Retrieves current Sample reference.
getSample() - Method in class marf.Preprocessing.Preprocessing: Returns enclosed sample.
getSample() - Method in interface marf.Storage.ISampleLoader: Returns internal reference to a Sample object.
getSample() - Method in class marf.Storage.SampleLoader: Returns internal reference to a Sample object.
getSampleArray() - Method in class marf.Storage.Sample: Retrieves array containing audio data of the entire sample.
getSampleFile() - Static method in class marf.MARF: Obtains filename of a sample currently being processed.
getSampleFormat() - Static method in class marf.MARF: Gets input sample file format.
getSampleLoader() - Static method in class marf.MARF: Retrieves current SampleLoader reference.
getSampleSize() - Method in interface marf.Storage.ISampleLoader: Retrieves the length of the sample (# of audio data in the audio stream).
getSampleSize() - Method in class marf.Storage.Sample: Returns the length of the sample.
getSampleSize() - Method in class marf.Storage.SampleLoader: Retrieves the length of the sample (# of audio data in the audio stream).
getSampleSize() - Method in class marf.Storage.Loaders.SineLoader: Retrieves the length of the sample (# of audio data in the audio stream).
getSecondClosestID() - Method in class marf.Storage.ResultSet: Returns second closest ID.
getSecondMaximumID() - Method in class marf.Storage.ResultSet: Retrieves ID of a subject with the distance/probability next to the maximum.
getSecondMininumID() - Method in class marf.Storage.ResultSet: Retrieves ID of a subject with the distance/probability next to the minimum.
getSentencePart(int, int) - Method in class marf.nlp.Parsing.ProbabilisticParser
getSize() - Method in class marf.Stats.Ngram
getSmoothingMethod() - Static method in class marf.MARF.NLP: Retrieves current smoothing method.
getSourceFilename() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Access method for the SourceFilename property.
getStartNonTerminal() - Method in class marf.nlp.Parsing.TransitionTable
getStreamTokenizer() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
getSubjectID() - Method in class marf.Storage.TrainingSample: Retrieves Subject ID of a particular training sample.
getSymTab() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Access method for the SymTab property.
getSymTabEntries() - Method in class marf.nlp.Parsing.SymbolTable: Retunrns the hashtable with SymTab entries.
getSymTabEntry(int) - Method in class marf.nlp.Parsing.SymbolTable: Returns a symbol table entry by an entry ID.
getSymTabEntry(String) - Method in class marf.nlp.Parsing.SymbolTable: Thes methods returns the entry by token's lexeme.
getTableFile() - Method in class marf.nlp.Parsing.TransitionTable: TableFile property accessor.
getTerminalList() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar
getTerminals() - Method in class marf.nlp.Parsing.TransitionTable: Terminals property accessor.
getTID() - Method in class marf.util.BaseThread: Retrieves our TID.
getToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
getTokenList() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Access method for the TonkenList property.
getTokenType() - Method in class marf.nlp.Parsing.Token: Access method for the TokenType property.
getTrainingSetFilename() - Method in class marf.Classification.Classification: Constructs a global cluster file name for the TrainingSet.
getTransitionTable() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
getType() - Method in class marf.nlp.Parsing.GrammarCompiler.Terminal
getUID() - Method in class marf.nlp.Parsing.SymTabEntry: Returns UID.
getUnitVector() - Method in class marf.math.Vector
getUpperBound() - Method in class marf.gui.util.ColoredStatusPanel
getVersion() - Static method in class marf.MARF: Returns a string representation of the MARF version.
getWidth() - Method in class marf.gui.util.SmartSizablePanel
getX() - Method in class marf.gui.util.SmartSizablePanel
getY() - Method in class marf.gui.util.SmartSizablePanel
GLI - class marf.Stats.StatisticalEstimators.GLI.: GLI Statistical Estimator.
GLI - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use GLI estimator/smoothing.
GLI() - Constructor for class marf.Stats.StatisticalEstimators.GLI
GOOD_TURING - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use Good-Turing estimator/smoothing.
GoodTuring - class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring.: Good-Turing Smoothing Estimator.
GoodTuring() - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring
GoodTuring(int) - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring
Grammar - class marf.nlp.Parsing.GrammarCompiler.Grammar.: Grammar.
GRAMMAR_EOL - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: End of grammar line or statement.
GRAMMAR_ID - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: Equivalent to TokenType's ID but for grammar parsing.
GRAMMAR_OR - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: Productions separator - '|'.
Grammar() - Constructor for class marf.nlp.Parsing.GrammarCompiler.Grammar: Default constructor.
GrammarAnalyzer - class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer.: GrammarAnalyzer class encapsulates functionality required for lexical analysis of a the grammar definition file.
GrammarAnalyzer() - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
GrammarAnalyzer(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
GrammarAnalyzer(SymbolTable) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
GrammarCompiler - class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler.: GrammarCompiler.
GrammarCompiler() - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Default Constructor.
GrammarCompiler(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Constructor.
GrammarElement - class marf.nlp.Parsing.GrammarCompiler.GrammarElement.: Generic GrammarToken.
GrammarElement(String, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarElement
GrammarElement(Token, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Preferred Constructor.
GrammarFileName - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Source grammar filename.
GrammarTokenType - class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType.: GrammarTokenType.
GrammarTokenType() - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: Constructor.
GREEN_PERCENTAGE - Static variable in class marf.gui.util.ColoredStatusPanel: From 41% (YELLOW_PERCENTAGE + 1) to 100% inclusively.

H

hamming(double[]) - Static method in class marf.math.Algorithms.Hamming: Applies hamming window to an array of doubles.
hamming(int, int) - Static method in class marf.math.Algorithms.Hamming: Retrieves a single value of hamming window based on length and index within the window.
HIDDEN - Static variable in class marf.Classification.NeuralNetwork.Neuron: Indicates middle (hidden) neuron.
HIGH_FREQUENCY_BOOST_FFT_FILTER - Static variable in class marf.MARF: Indicates to use filter boosting high frequencies.
HIGH_PASS_BOOST_FILTER - Static variable in class marf.MARF: Indicates to use high-pass high-frequency boost FFT filter.
HIGH_PASS_FFT_FILTER - Static variable in class marf.MARF: Indicates to use high-pass FFT filter.
HighFrequencyBoost - class marf.Preprocessing.FFTFilter.HighFrequencyBoost.: HighFrequencyBoost class implements filtering using high frequency booster on top of the FFTFilter.
HighFrequencyBoost(Preprocessing) - Constructor for class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Pipelined preprocessing constructor.
HighFrequencyBoost(Sample) - Constructor for class marf.Preprocessing.FFTFilter.HighFrequencyBoost: HighFrequencyBoost Constructor.
HighPassFilter - class marf.Preprocessing.FFTFilter.HighPassFilter.: HighPassFilter class implements high-pass filtering the FFT Filter.
HighPassFilter(Preprocessing) - Constructor for class marf.Preprocessing.FFTFilter.HighPassFilter: Preprocessing pipeline constructor.
HighPassFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.HighPassFilter: HighPassFilter Constructor.

I

i() - Method in class marf.math.Vector
iArrayIndex - Variable in class marf.Storage.Sample: Chunk pointer in the sample array.
iCols - Variable in class marf.math.Matrix: Actual number of columns in the matrix.
iCurrentDumpMode - Variable in class marf.Storage.StorageManager: Indicates in which format dump training data.
ID - Variable in class marf.nlp.Parsing.SymTabEntry: Numeric ID of the entry.
ID - Static variable in class marf.nlp.Parsing.TokenType: Identifier token type.
ID - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: ID to act as an index to table.
ID - Variable in class marf.nlp.Parsing.GrammarCompiler.Rule: ID for reference and debugging.
IDatabase - interface marf.Storage.IDatabase.: Subject database interface.
IF - Static variable in class marf.nlp.Parsing.TokenSubType
iFeatureExtractionMethod - Variable in class marf.Storage.TrainingSet: Which feature extraction method was used to determine this feature vector.
iFormat - Variable in class marf.Storage.MARFAudioFileFormat: Current sample's format.
iFrequency - Variable in class marf.Stats.StatisticalObject: Word's frequency in a given corpus.
iID - Variable in class marf.Storage.Result: Identified subject's ID.
incFrequency() - Method in class marf.Stats.StatisticalObject
incFrequency(Vector) - Method in class marf.Stats.ProbabilityTable
incMeanCount() - Method in class marf.Storage.Cluster: Increases mean count by one.
incRank() - Method in class marf.Stats.StatisticalObject
indent(BufferedWriter, int) - Static method in class marf.Classification.NeuralNetwork.NeuralNetwork: Indents the output according to the requested tabulation.
indent(int) - Method in class marf.nlp.Parsing.ProbabilisticParser
init() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Initialization routine.
init() - Method in class marf.nlp.Parsing.LexicalAnalyzer: Initialization routine.
init() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
init() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer
init(int, int) - Method in class marf.nlp.Parsing.TransitionTable: This is a standard attempt to initilaize.
init(StatisticalEstimator) - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier: Initializes the classifier with all member variables.
initialize(String, boolean) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Parses XML and produces NNet.
INPUT - Static variable in class marf.Classification.NeuralNetwork.Neuron: Indicates input neuron.
insert(String, String) - Method in class marf.nlp.Parsing.SymbolTable
insertElementAt(Object, int) - Method in class marf.util.FreeVector: Inserts an element of the vector after given index.
INTEGER - Static variable in class marf.nlp.Parsing.SymDataType
INTEGER - Static variable in class marf.nlp.Parsing.TokenSubType
INTERACTIVE - Static variable in class marf.MARF.NLP: Use interactive mode.
INTERFACE_CODE_REVISION - Static variable in interface marf.Storage.IDatabase: Interface source code revision.
INTERFACE_CODE_REVISION - Static variable in interface marf.Storage.ISampleLoader: Interface source code revision.
INTERFACE_CODE_REVISION - Static variable in interface marf.Storage.IStorageManager: Interface source code revision.
intToByteArray(int, boolean) - Static method in class marf.util.ByteUtils: Converts an int value to a byte array.
INVALID_CHAR - Static variable in class marf.nlp.Parsing.LexicalError: Character encountered is not part of the C+-'s alphabet.
INVALID_NUMBER_FORMAT - Static variable in class marf.nlp.Parsing.LexicalError: Invalid number format.
InvalidSampleFormatException - exception marf.util.InvalidSampleFormatException.: Class InvalidSampleFormatException.
InvalidSampleFormatException(int) - Constructor for class marf.util.InvalidSampleFormatException: Exception for specific sample format.
InvalidSampleFormatException(String) - Constructor for class marf.util.InvalidSampleFormatException: Generic exception.
inverse() - Method in class marf.math.Matrix: Matrix inversion.
iPreprocessingMethod - Variable in class marf.Storage.TrainingSet: Which preprocessing method was applied to the sample before this feature vector was extracted.
iPushBackupLevel - Variable in class marf.nlp.util.NLPStreamTokenizer
iRank - Variable in class marf.Stats.StatisticalObject: Word's rank in the corpus.
iRequiredBitSize - Variable in class marf.Storage.SampleLoader: Current bit size of a sample.
iRequiredChannels - Variable in class marf.Storage.SampleLoader: Current number of channels.
iRequiredFrequency - Variable in class marf.Storage.SampleLoader: Current frequency.
iRows - Variable in class marf.math.Matrix: Actual number of rows in the matrix.
isActiveOption(int) - Method in class marf.util.OptionProcessor: Checks whether supplied integer option is active.
isActiveOption(String) - Method in class marf.util.OptionProcessor: Checks whether supplied string option is active.
ISampleLoader - interface marf.Storage.ISampleLoader.: Samle loading interface.
isDeclared() - Method in class marf.nlp.Parsing.SymTabEntry: Determines if the Resolved property is true.
isDefined() - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal
isDefinedID(String, String) - Method in class marf.nlp.Parsing.SemanticAnalyzer
isEqualByName(String) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
isIdentity() - Method in class marf.math.Matrix: Checks for strict identity matrix.
isMultiplyDefined() - Method in class marf.nlp.Parsing.SymTabEntry
isNearlyIdentity() - Method in class marf.math.Matrix
isNearlyIdentity(double) - Method in class marf.math.Matrix
isNonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
isNonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal
isNonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.SemanticToken
isNonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.Terminal
isOrthogonal(Vector) - Method in class marf.math.Vector
iSortMode - Variable in class marf.util.SortComparator: Current sorting mode: either ASCENDING or DESCENDING.
isPopRecoveryAction() - Method in class marf.nlp.Parsing.SyntaxError
isReduced() - Method in class marf.math.Matrix
isScanRecoveryAction() - Method in class marf.nlp.Parsing.SyntaxError
isTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
isTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal
isTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.SemanticToken
isTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.Terminal
isToken(Token) - Method in class marf.nlp.Parsing.GrammarCompiler.Terminal
IStorageManager - interface marf.Storage.IStorageManager.: Almost every concrete module must implement this interface if it cannot extend from the StorageManager class.
iSubjectID - Variable in class marf.Storage.TrainingSample: Which subject this feature vector is associated with.
iTID - Variable in class marf.util.BaseThread: Our Thread ID.

J

j() - Method in class marf.math.Vector
JAXP_SCHEMA_LANGUAGE - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: JAXP 1.2 Schema.
JAXP_SCHEMA_SOURCE - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: JAXP 1.2 Schema URL.
join() - Method in class marf.util.ExpandedThreadGroup: Wait for all the threads in the group to terminate.

K

k() - Method in class marf.math.Vector
KATZ_BACKOFF - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use Katz Backoff estimator/smoothing.
KatzBackoff - class marf.Stats.StatisticalEstimators.KatzBackoff.: Katz Backoff Statistical Estimator.
KatzBackoff() - Constructor for class marf.Stats.StatisticalEstimators.KatzBackoff
KEYWORD - Static variable in class marf.nlp.Parsing.TokenType: Identified keyword token type.
Keywords - Static variable in class marf.nlp.Parsing.TokenSubType
Kind - Variable in class marf.nlp.Parsing.VarSymTabEntry: Variable kind.

L

Layer - class marf.Classification.NeuralNetwork.Layer.: Represents a Neural Network Layer.
Layer() - Constructor for class marf.Classification.NeuralNetwork.Layer
LEADING_ZEROS - Static variable in class marf.nlp.Parsing.LexicalError: Leading zeros are not allowed in numbers.
Lexeme - Variable in class marf.nlp.Parsing.Token: Parts of a Token.
LexicalAnalyzer - class marf.nlp.Parsing.LexicalAnalyzer.: LexicalAnalyzer class encapsulates the functionality required for lexical analysis of a C+- source program.
LexicalAnalyzer(SymbolTable) - Constructor for class marf.nlp.Parsing.LexicalAnalyzer: Constructor.
LexicalError - exception marf.nlp.Parsing.LexicalError.: This class denotes LexicalError type.
LexicalError(int, Token) - Constructor for class marf.nlp.Parsing.LexicalError: Constructor 1.
LexicalError(Token, String) - Constructor for class marf.nlp.Parsing.LexicalError: Constructor 2 - An Alternative to Unknown Error.
LexicalErrors - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer
LHS - Variable in class marf.nlp.Parsing.GrammarCompiler.Rule: LHS.
LineNo - Variable in class marf.nlp.Parsing.CompilerError: Line number where the given error occurred.
loadRow(int, Vector) - Method in class marf.math.Matrix
loadSample(File) - Method in interface marf.Storage.ISampleLoader: Prime SampleLoader interface.
loadSample(File) - Method in class marf.Storage.Loaders.AIFFCLoader: Not Implemented.
loadSample(File) - Method in class marf.Storage.Loaders.AIFFLoader: Not Implemented.
loadSample(File) - Method in class marf.Storage.Loaders.AULoader: Not Implemented.
loadSample(File) - Method in class marf.Storage.Loaders.MIDILoader: Not Implemented.
loadSample(File) - Method in class marf.Storage.Loaders.MP3Loader: Not Implemented.
loadSample(File) - Method in class marf.Storage.Loaders.SineLoader: Fills in the contained sample's data array with a sine wave.
loadSample(File) - Method in class marf.Storage.Loaders.SNDLoader: Not Implemented.
loadSample(File) - Method in class marf.Storage.Loaders.ULAWLoader: Not Implemented.
loadSample(File) - Method in class marf.Storage.Loaders.WAVLoader: Loads WAV sample data from a file.
loadSample(String) - Method in interface marf.Storage.ISampleLoader: Same as loadSample(File) but takes filename as an argument.
loadSample(String) - Method in class marf.Storage.SampleLoader: Same as loadSample(File) but takes filename as an argument.
loadSample(String) - Method in class marf.Storage.Loaders.SineLoader: Merely calls readAudioData().
loadTT(String) - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Loads (previously deserialized) state of the TT.
LocalSymTab - Variable in class marf.nlp.Parsing.SymTabEntry: Local scope symbol table (if applicable).
LocationsList - Variable in class marf.nlp.Parsing.SymTabEntry: List of locations where the give ID appears in the source code.
log - Variable in class marf.util.Logger
LOG_STDERR_TO_FILE - Static variable in class marf.util.Logger
LOG_STDOUT_STDERR_TO_FILE - Static variable in class marf.util.Logger
LOG_STDOUT_TO_FILE - Static variable in class marf.util.Logger
LOG_TO_FILE_STDOUT_STDERR - Static variable in class marf.util.Logger
logDirection - Variable in class marf.util.Logger
Logger - class marf.util.Logger.: MARF Runnable Logging Facility.
Logger.LogPrintStream - class marf.util.Logger.LogPrintStream.: Our own LogPrintStream.
Logger.LogPrintStream(OutputStream) - Constructor for class marf.util.Logger.LogPrintStream
Logger.LogPrintStream(OutputStream, Logger.LogPrintStream) - Constructor for class marf.util.Logger.LogPrintStream
Logger.LogPrintStream(String) - Constructor for class marf.util.Logger.LogPrintStream
Logger(String) - Constructor for class marf.util.Logger
Logger(String, int) - Constructor for class marf.util.Logger
logMessage - Variable in class marf.util.Logger
LOW_PASS_FFT_FILTER - Static variable in class marf.MARF: Indicates to use low-pass FFT filter.
LowPassFilter - class marf.Preprocessing.FFTFilter.LowPassFilter.: LowPassFilter class implements low pass filtering the FFT Filter.
LowPassFilter(Preprocessing) - Constructor for class marf.Preprocessing.FFTFilter.LowPassFilter: Preprocessing pipeline constructor.
LowPassFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.LowPassFilter: LowPassFilter Constructor.
LPC - class marf.FeatureExtraction.LPC.LPC.: Class LPC implements Linear Predictive Coding.
LPC - Static variable in class marf.MARF: Indicates to use LPC.
LPC(Preprocessing) - Constructor for class marf.FeatureExtraction.LPC.LPC: LPC Constructor.
lps - Variable in class marf.util.Logger.LogPrintStream

M

MAHALANOBIS_DISTANCE - Static variable in class marf.MARF: Indicates to use Mahalanobis distance for classification.
MahalanobisDistance - class marf.Classification.Distance.MahalanobisDistance.: Mahalanobis Distance Classification Module.
MahalanobisDistance(FeatureExtraction) - Constructor for class marf.Classification.Distance.MahalanobisDistance: MahalanobisDistance Constructor.
main(String[]) - Static method in class marf.nlp.Parsing.Compiler: Main Function.
main(String[]) - Static method in class test: Main program expecting and processing one or more options.
makeIdentity() - Method in class marf.math.Matrix: Makes current matrix an identity one.
MANHATTAN_DISTANCE - Static variable in class marf.MARF: A synonym to Chebyshev distance.
marf - package marf
MARF - class marf.MARF.: Provides basic recognition pipeline and its configuration.
marf.Classification - package marf.Classification
marf.Classification.Distance - package marf.Classification.Distance
marf.Classification.Markov - package marf.Classification.Markov
marf.Classification.NeuralNetwork - package marf.Classification.NeuralNetwork
marf.Classification.RandomClassification - package marf.Classification.RandomClassification
marf.Classification.Stochastic - package marf.Classification.Stochastic
marf.FeatureExtraction - package marf.FeatureExtraction
marf.FeatureExtraction.Cepstral - package marf.FeatureExtraction.Cepstral
marf.FeatureExtraction.F0 - package marf.FeatureExtraction.F0
marf.FeatureExtraction.FFT - package marf.FeatureExtraction.FFT
marf.FeatureExtraction.LPC - package marf.FeatureExtraction.LPC
marf.FeatureExtraction.MinMaxAmplitudes - package marf.FeatureExtraction.MinMaxAmplitudes
marf.FeatureExtraction.RandomFeatureExtraction - package marf.FeatureExtraction.RandomFeatureExtraction
marf.FeatureExtraction.Segmentation - package marf.FeatureExtraction.Segmentation
marf.gui - package marf.gui
marf.gui.util - package marf.gui.util
MARF.INgramModels - interface marf.MARF.INgramModels.: Enumeration of N-gram Models.
MARF.IStatisticalEstimators - interface marf.MARF.IStatisticalEstimators.: Enumeration of Statistical Estimators.
marf.math - package marf.math
MARF.NLP - class marf.MARF.NLP.: Class NLP is more related to the Natural Language Processing part of MARF.
marf.nlp.Collocations - package marf.nlp.Collocations
marf.nlp.Parsing - package marf.nlp.Parsing
marf.nlp.Parsing.GrammarCompiler - package marf.nlp.Parsing.GrammarCompiler
marf.nlp.Stemming - package marf.nlp.Stemming
marf.nlp.util - package marf.nlp.util
MARF.NLP() - Constructor for class marf.MARF.NLP
marf.Preprocessing - package marf.Preprocessing
marf.Preprocessing.Dummy - package marf.Preprocessing.Dummy
marf.Preprocessing.Endpoint - package marf.Preprocessing.Endpoint
marf.Preprocessing.FFTFilter - package marf.Preprocessing.FFTFilter
marf.Stats - package marf.Stats
marf.Stats.StatisticalEstimators - package marf.Stats.StatisticalEstimators
marf.Stats.StatisticalEstimators.Smoothing - package marf.Stats.StatisticalEstimators.Smoothing
marf.Storage - package marf.Storage
marf.Storage.Loaders - package marf.Storage.Loaders
marf.util - package marf.util
marf.util.comparators - package marf.util.comparators
MARFAudioFileFormat - class marf.Storage.MARFAudioFileFormat.: Supported MARF Audio File Formats.
MARFAudioFileFormat.Type - class marf.Storage.MARFAudioFileFormat.Type.: In addtion to the types defined in AudioFileFormat.Type defines MP3, MIDI, and ULAW formats and their extensions.
MARFAudioFileFormat.Type(String, String) - Constructor for class marf.Storage.MARFAudioFileFormat.Type: Mimics parent's constructor.
MARFAudioFileFormat() - Constructor for class marf.Storage.MARFAudioFileFormat: Default constructor creates a WAVE-type format by default, which is PCM-signed, 16 bits, mono, little-endian.
MARFAudioFileFormat(AudioFileFormat.Type, AudioFormat, int) - Constructor for class marf.Storage.MARFAudioFileFormat: Mimics parent's constructor.
MARFAudioFileFormat(MARFAudioFileFormat.Type, AudioFormat, int) - Constructor for class marf.Storage.MARFAudioFileFormat: MARF-related constructor.
MARFAudioFileFormat(MARFAudioFileFormat.Type, int, AudioFormat, int) - Constructor for class marf.Storage.MARFAudioFileFormat: Constructs an audio file format object.
MARFException - exception marf.util.MARFException.: Class MARFException.
MARFException(Exception) - Constructor for class marf.util.MARFException: Wraps Exception object around.
MARFException(String) - Constructor for class marf.util.MARFException: Generic exception.
MARFException(String, Exception) - Constructor for class marf.util.MARFException: This is used for debug purposes only with some unusual Exception's.
Markov - class marf.Classification.Markov.Markov.: Hidden Markov Models-based Classification Module.
MARKOV - Static variable in class marf.MARF: Indicates to use Hidden Markov Models for classification.
Markov(FeatureExtraction) - Constructor for class marf.Classification.Markov.Markov: Markov Constructor.
MathException - exception marf.math.MathException.: Indicates exceptional situations in MARF's math.
MathException(Exception) - Constructor for class marf.math.MathException: Encapsulation of another Exception object.
MathException(String) - Constructor for class marf.math.MathException: Generic exception.
MathException(String, Exception) - Constructor for class marf.math.MathException: Encapsulation of another Exception object and a new message.
Matrix - class marf.math.Matrix.: Algebraic operations on matrices.
Matrix - class marf.util.Matrix.: Free Matrix.
Matrix.Direction - class marf.math.Matrix.Direction.: Indicates the direction in which a matrix to be extended.
Matrix.Direction() - Constructor for class marf.math.Matrix.Direction: Default constructor.
Matrix.Direction(int) - Constructor for class marf.math.Matrix.Direction: Direction Constructor.
Matrix.Direction(Matrix.Direction) - Constructor for class marf.math.Matrix.Direction: Copy Constructor.
Matrix() - Constructor for class marf.math.Matrix: Default constructor.
Matrix() - Constructor for class marf.util.Matrix
Matrix(double[]) - Constructor for class marf.math.Matrix: This constructor makes up a vector.
Matrix(double[][]) - Constructor for class marf.math.Matrix: Constructs a 2D matrix from a 2D array.
Matrix(double[], boolean) - Constructor for class marf.math.Matrix: This constructor makes up a transposed vector.
Matrix(int) - Constructor for class marf.util.Matrix
Matrix(int[]) - Constructor for class marf.util.Matrix
Matrix(int, int) - Constructor for class marf.math.Matrix: Constructor with custom dimensions.
Matrix(int, int, double) - Constructor for class marf.math.Matrix: Constructor with custom dimensions and initial fill value.
Matrix(Matrix) - Constructor for class marf.math.Matrix: A-la copy-constructor.
max - Variable in class marf.gui.Spectrogram: Current maximum.
MAX_AMPLITUDES - Static variable in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes: Default number of maximums (amplitudes) to collect.
MAX_CLASSIFICATION_METHOD - Static variable in class marf.MARF: Upper boundary for classificantion methods enumeration.
MAX_FEATUREEXTRACTION_METHOD - Static variable in class marf.MARF: Upper boundary for classificantion methods enumeration.
MAX_PREPROCESSING_METHOD - Static variable in class marf.MARF: Upper boundary for classificantion methods enumeration.
MaxProbabilityClassifier - class marf.Classification.Stochastic.MaxProbabilityClassifier.: Maximum Probability Classification Module.
MaxProbabilityClassifier(FeatureExtraction) - Constructor for class marf.Classification.Stochastic.MaxProbabilityClassifier: Implements Classification API.
MaxProbabilityClassifier(StatisticalEstimator) - Constructor for class marf.Classification.Stochastic.MaxProbabilityClassifier: NLP constructor that takes directly a statistical estimator.
MEMBER - Static variable in class marf.nlp.Parsing.VarSymTabEntry: Class member.
MIDI - Static variable in class marf.MARF: MIDI sample format.
MIDI - Static variable in class marf.Storage.MARFAudioFileFormat: MIDI sample format.
MIDI - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies MIDI file.
MIDILoader - class marf.Storage.Loaders.MIDILoader.: Not Implemented.
MIDILoader() - Constructor for class marf.Storage.Loaders.MIDILoader: MIDI Loader Constructor.
min - Variable in class marf.gui.Spectrogram: Current minimum.
MIN_AMPLITUDES - Static variable in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes: Default number of minimums (amplitudes) to collect.
MIN_CLASSIFICATION_METHOD - Static variable in class marf.MARF: Lower boundary for classificantion methods enumeration.
MIN_FEATUREEXTRACTION_METHOD - Static variable in class marf.MARF: Lower boundary for classificantion methods enumeration.
MIN_MAX_AMPLITUDES - Static variable in class marf.MARF: Indicates to use min/max amplitude extraction.
MIN_PREPROCESSING_METHOD - Static variable in class marf.MARF: Lower boundary for classificantion methods enumeration.
MINKOWSKI_DISTANCE - Static variable in class marf.MARF: Indicates to use Minkowski distance for classification.
MinkowskiDistance - class marf.Classification.Distance.MinkowskiDistance.: Class MinkowskiDistance.
MinkowskiDistance(FeatureExtraction) - Constructor for class marf.Classification.Distance.MinkowskiDistance: MinkowskiDistance Constructor.
MinMaxAmplitudes - class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes.: Min/Max Amplitudes.
MinMaxAmplitudes(Preprocessing) - Constructor for class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes: MinMaxAmplitudes Constructor.
minus(Matrix) - Method in class marf.math.Matrix: this - M.
minus(Matrix, Matrix) - Static method in class marf.math.Matrix: M3 = M1 - M2.
minusUnary(Matrix) - Static method in class marf.math.Matrix: M = -M.
MISMATCHED_PARENS - Static variable in class marf.nlp.Parsing.SyntaxError: Mismatched Parenthesis Error.
MISSING_SEMICOLON - Static variable in class marf.nlp.Parsing.SyntaxError: Untreminated statement or declaration.
MLE - class marf.Stats.StatisticalEstimators.MLE.: MLE Statistical Estimator.
MLE - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use Maximum Likelyhood Estimate estimator/smoothing.
MLE() - Constructor for class marf.Stats.StatisticalEstimators.MLE
ModuleParams - class marf.Storage.ModuleParams.: Class ModuleParams provides ability to pass module-specific parameters from an application.
ModuleParams() - Constructor for class marf.Storage.ModuleParams: Default Constructor.
MP3 - Static variable in class marf.MARF: Indicates MP3 incoming sample file format.
MP3 - Static variable in class marf.Storage.MARFAudioFileFormat: Indicates MP3 incoming sample file format.
MP3 - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies MP3 file.
MP3Loader - class marf.Storage.Loaders.MP3Loader.: Not Implemented.
MP3Loader() - Constructor for class marf.Storage.Loaders.MP3Loader: MP3 Loader Constructor.
MULT_DEF_SYM - Static variable in class marf.nlp.Parsing.SemanticError: Symbol defined multiple times.
MultilplyDefined - Variable in class marf.nlp.Parsing.SymTabEntry: A flag inidcating that the symbol was (true) or was not (false) resolved.
multiply(double) - Method in class marf.math.Matrix: this = this * d.
multiply(double, Matrix) - Static method in class marf.math.Matrix: M1 = d * M.
multiply(Matrix) - Method in class marf.math.Matrix: M1 = this * M.
multiply(Matrix, double) - Static method in class marf.math.Matrix: M = M * d.
multiply(Matrix, Matrix) - Static method in class marf.math.Matrix: M3 = M1 * M2.

N

name - Variable in class marf.Classification.NeuralNetwork.Neuron: Neuron's name.
Name - Variable in class marf.nlp.Parsing.SymbolTable: Name of the table, must be unique.
Name - Variable in class marf.nlp.Parsing.SymTabEntry
Name - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: A name of a token to refer to.
NEURAL_NETWORK - Static variable in class marf.MARF: Indicates to use Neural Network for classification.
NeuralNetwork - class marf.Classification.NeuralNetwork.NeuralNetwork.: Artificial Neural Network-based Classifier.
NeuralNetwork(FeatureExtraction) - Constructor for class marf.Classification.NeuralNetwork.NeuralNetwork: NeuralNetwork Constructor.
Neuron - class marf.Classification.NeuralNetwork.Neuron.: Class Neuron -- a basic element of a neural network.
Neuron(String, int) - Constructor for class marf.Classification.NeuralNetwork.Neuron: Neuron's Constructor.
Ngram - class marf.Stats.Ngram.: N-gram Observation.
NGRAM - Static variable in interface marf.MARF.INgramModels: Indicates to use n-gram language model.
Ngram() - Constructor for class marf.Stats.Ngram
Ngram(int) - Constructor for class marf.Stats.Ngram
Ngram(Ngram[]) - Constructor for class marf.Stats.Ngram
NLPStreamTokenizer - class marf.nlp.util.NLPStreamTokenizer.: NLP Stream Tokenizer.
NLPStreamTokenizer(Reader) - Constructor for class marf.nlp.util.NLPStreamTokenizer
NO_PROGRAM - Static variable in class marf.nlp.Parsing.SyntaxError: No "main()" program Error.
NonTerminal - class marf.nlp.Parsing.GrammarCompiler.NonTerminal.: NonTerminal grammar element.
NonTerminal(String, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.NonTerminal
NonTerminal(Token, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.NonTerminal
NonTerminals - Variable in class marf.nlp.Parsing.TransitionTable: Vector of NonTerminals as "row-pointers" to TT.
NORMAL - Static variable in class marf.nlp.Parsing.VarSymTabEntry: Normal variable kind.
normalFFT(double[], double[]) - Static method in class marf.math.Algorithms.FFT: Performs a normal FFT, taking a real input (supposedly an audio sample) and returns the frequency analysis in terms of "magnitude".
normalFFT(double[], double[], double[]) - Static method in class marf.math.Algorithms.FFT: Performs a normal FFT, taking a real input (supposedly an audio sample) and returns the frequency analysis in terms of "magnitude" and "phase angle".
normalize() - Method in class marf.Preprocessing.Preprocessing: Normalization of entire incoming samples by amplitude.
normalize() - Method in class marf.Stats.ProbabilityTable
normalize() - Method in class marf.math.Vector
normalize(int) - Method in class marf.Preprocessing.Preprocessing: Normalization of incoming samples by amplitude starting from certain index.
normalize(int, int) - Method in class marf.Preprocessing.Preprocessing: Normalization of incoming samples by amplitude between specified indexes.
NORTH - Static variable in class marf.math.Matrix.Direction: Indicates North direction.
NOT - Static variable in class marf.nlp.Parsing.TokenSubType
NotImplementedException - exception marf.util.NotImplementedException.: This class extends RuntimeException for MARF unimplemented parts.
NotImplementedException() - Constructor for class marf.util.NotImplementedException: Generic exception.
NotImplementedException(Object, String) - Constructor for class marf.util.NotImplementedException: Generates Class.Method exception message.
NotImplementedException(String) - Constructor for class marf.util.NotImplementedException: Generic exception.
NUM - Static variable in class marf.nlp.Parsing.TokenType: Numerical token type.

O

oAudioFormat - Variable in class marf.Storage.SampleLoader: Properties of a sound sample.
oAudioInputStream - Variable in class marf.Storage.SampleLoader: Stream representing sound sample.
oAvailLanguages - Variable in class marf.Classification.Stochastic.MaxProbabilityClassifier: A collection of available natural languages.
Observation - class marf.Stats.Observation.: Generic Observation.
Observation() - Constructor for class marf.Stats.Observation
oByteArrayOutputStream - Variable in class marf.Storage.SampleLoader: Output stream used for writing audio data.
oClusters - Variable in class marf.Storage.TrainingSet: A Vector of Clusters.
oFeatureExtraction - Variable in class marf.Classification.Classification: Reference to the enclosed FeatureExtraction object.
oFeatureSet - Variable in class marf.Storage.TrainingSet: Feature Set as opposed to the cluster.
oFilenames - Variable in class marf.Storage.TrainingSample: A list of filenames that were used in training for this cluster.
oFileReader - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer
oGrammar - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Instance of the grammar as a set of production Rules, First and Follow sets.
oGrammarAnalyzer - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Lexical Analyzer for the grammar.
oGrammarElement - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
oGroup - Variable in class marf.util.ExpandedThreadGroup: Local refernces to the threads belonging to this group.
OK - Static variable in class marf.nlp.Parsing.CompilerError: Error code signifying "no error".
oObjectToSerialize - Variable in class marf.Storage.StorageManager: Actual object to be serialized (primarily for GZIP and BINARY modes.
OP_ASIGN - Static variable in class marf.nlp.Parsing.TokenSubType
OP_DIV - Static variable in class marf.nlp.Parsing.TokenSubType
OP_EQ - Static variable in class marf.nlp.Parsing.TokenSubType
OP_GE - Static variable in class marf.nlp.Parsing.TokenSubType
OP_GT - Static variable in class marf.nlp.Parsing.TokenSubType
OP_LE - Static variable in class marf.nlp.Parsing.TokenSubType
OP_LT - Static variable in class marf.nlp.Parsing.TokenSubType
OP_MEMB - Static variable in class marf.nlp.Parsing.TokenSubType
OP_MINUS - Static variable in class marf.nlp.Parsing.TokenSubType
OP_MULT - Static variable in class marf.nlp.Parsing.TokenSubType
OP_NE - Static variable in class marf.nlp.Parsing.TokenSubType
OP_PLUS - Static variable in class marf.nlp.Parsing.TokenSubType
OPERATOR - Static variable in class marf.nlp.Parsing.TokenType: Operator token type.
Operators - Static variable in class marf.nlp.Parsing.TokenSubType
oPreprocessing - Variable in class marf.FeatureExtraction.FeatureExtraction: Internal reference to the Preprocessing module.
oProbabilityTable - Variable in class marf.Stats.StatisticalEstimators.StatisticalEstimator
OPT_COPYRIGHT - Static variable in class test: Option number for --copyright.
OPT_HELP_LONG - Static variable in class test: Option number for --help.
OPT_HELP_SHORT - Static variable in class test: Option number for -h.
OPT_REVISION - Static variable in class test: Option number for --verbose.
OPT_VERSION - Static variable in class test: Option number for --version.
OptionProcessor - class marf.util.OptionProcessor.: Command-Line Option Processing Facilitating Utility.
OptionProcessor() - Constructor for class marf.util.OptionProcessor: Constructs options-free OptionProcessor.
OptionProcessor(Hashtable) - Constructor for class marf.util.OptionProcessor: Constructs OptionProcessor with known list of valid options.
oPushBackup - Variable in class marf.nlp.util.NLPStreamTokenizer
OR - Static variable in class marf.nlp.Parsing.TokenSubType
oReader - Variable in class marf.nlp.util.NLPStreamTokenizer: Keep a reference to the Reader ourselves to be able to reset().
oResultSet - Variable in class marf.Classification.Classification: Classification result set.
oResultSet - Variable in class marf.Storage.ResultSet: Distances from other samples and other stats or probabilities and likelyhood (growable and shrinkable).
oResultSetSorted - Variable in class marf.Storage.ResultSet: References to the objects in the oResultSet in the sorted order.
oRule - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
oSample - Variable in class marf.Preprocessing.Preprocessing: Sample reference.
oSample - Variable in class marf.Storage.SampleLoader: Sample references of the sample to be loaded.
oSpectrogram - Variable in class marf.gui.SpectrogramPanel
oStatisticalEstimator - Variable in class marf.Classification.Stochastic.MaxProbabilityClassifier: Local reference to some instance of a statistical estimator for probability computation.
oStatusPanel - Variable in class marf.gui.SpectrogramPanel
oStatusPanel - Variable in class marf.gui.WaveGrapherPanel
oStreamTokenizer - Variable in class marf.Stats.StatisticalEstimators.StatisticalEstimator
oStreamTokenizer - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer
oToken - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer
oToken - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
oToken - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: A bit extra info in the encasulted token.
oTokenType - Variable in class marf.nlp.Parsing.Token
oTokenType - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer
oTrainingSet - Variable in class marf.Classification.Classification: TrainingSet Container.
oTransitionTable - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Instance of the TransitionTable, generated upon the need from the source grammar file.
oType - Variable in class marf.Storage.MARFAudioFileFormat: File type.
OUTPUT - Static variable in class marf.Classification.NeuralNetwork.Neuron: Indicates output neuron.
OUTPUT_ENCODING - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: All output will use this encoding.
OutputFilename - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer: File name of a file which serves as an output of the Lexical Analyzer.
outputStats() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler
oWaveGrapher - Variable in class marf.gui.WaveGrapherPanel

P

P() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator: Classification.
P(Ngram) - Method in class marf.Stats.StatisticalEstimators.GLI
P(Ngram) - Method in class marf.Stats.StatisticalEstimators.KatzBackoff
P(Ngram) - Method in class marf.Stats.StatisticalEstimators.SLI
P(Ngram) - Method in class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring
P(Ngram) - Method in class marf.Stats.StatisticalEstimators.Smoothing.WittenBell
P(Observation) - Method in class marf.Stats.StatisticalEstimators.MLE
P(Observation, Observation) - Method in class marf.Stats.ProbabilityTable
P(Observation, Vector) - Method in class marf.Stats.ProbabilityTable
P(Vector) - Method in class marf.Stats.ProbabilityTable
P(Vector) - Method in class marf.Stats.StatisticalEstimators.MLE
paint(Graphics) - Method in class marf.gui.util.ColoredStatusPanel
PARAM - Static variable in class marf.nlp.Parsing.VarSymTabEntry: Parameter variable.
PARAM_TYPE_MISMATCH - Static variable in class marf.nlp.Parsing.SemanticError: Mismatch of types of parameters in a function call.
Params - Variable in class marf.nlp.Parsing.FuncSymTabEntry: Parameter List.
PAREN_CL - Static variable in class marf.nlp.Parsing.TokenSubType
PAREN_OP - Static variable in class marf.nlp.Parsing.TokenSubType
ParentSymTab - Variable in class marf.nlp.Parsing.SymbolTable: Backward reference.
PARSE_ENDS_OF_SENTENCE - Static variable in class marf.MARF.NLP: When parsing text, also parse typical ends of sentences.
PARSE_NUMBERS - Static variable in class marf.MARF.NLP: When parsing text, also parse numbers as tokens.
PARSE_QUOTED_STRINGS - Static variable in class marf.MARF.NLP: When parsing text, also parse quoted literals.
parse() - Method in class marf.nlp.Parsing.Parser: Implements State Transition Algorithm for top-down table-driven predictive parser.
parse() - Method in class marf.nlp.Parsing.ProbabilisticParser
parse(String[]) - Method in class marf.util.OptionProcessor: Parses option strings from the argument vector.
parseGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Parsing grammar.
Parser - class marf.nlp.Parsing.Parser.: Generic Language Parser.
Parser(String[]) - Constructor for class marf.nlp.Parsing.Parser: Consrtuctor with arguments.
POP - Static variable in class marf.nlp.Parsing.SyntaxError: Recovery action code, specifying that to recover from an error one needs to pop tokens from the stack.
popBracket() - Method in class marf.nlp.Parsing.Parser
Position - Variable in class marf.nlp.Parsing.Token
preprocess() - Method in class marf.Preprocessing.Preprocessing: Derivatives must implement this method to do general preprocessing and perhaps calling removeNoise() and removeSilence().
preprocess() - Method in class marf.Preprocessing.Dummy.Dummy: Dummy implementation of preprocess() for testing.
preprocess() - Method in class marf.Preprocessing.Dummy.Raw: Raw implementation of preprocess() for testing.
preprocess() - Method in class marf.Preprocessing.Endpoint.Endpoint: Not Implemented.
preprocess() - Method in class marf.Preprocessing.FFTFilter.FFTFilter: FFTFilter implementation of preprocess().
preprocess() - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Overrides FFTFilter's preprocess() with extra normalization after the boost.
Preprocessing - class marf.Preprocessing.Preprocessing.: Abstract Preprocessing Module.
Preprocessing(Preprocessing) - Constructor for class marf.Preprocessing.Preprocessing: Allows chaining of preprocessing modules.
Preprocessing(Sample) - Constructor for class marf.Preprocessing.Preprocessing: Main Preprocessing constructor that performs normalization as a part of construction process.
PreprocessingException - exception marf.Preprocessing.PreprocessingException.: Class PreprocessingException.
PreprocessingException(String) - Constructor for class marf.Preprocessing.PreprocessingException: Preprocessing exception.
print(String) - Method in class marf.nlp.Parsing.SymbolTable
println(Object) - Method in class marf.util.Logger.LogPrintStream
println(String) - Method in class marf.util.Logger.LogPrintStream
printXML(BufferedWriter, int) - Method in class marf.Classification.NeuralNetwork.Neuron: Dumps XML of the current Neuron.
ProbabilisticGrammarAnalyzer - class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer.: Pobabilistic Grammar Analyzer.
ProbabilisticGrammarAnalyzer(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer
ProbabilisticGrammarCompiler - class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler.: Probabilistic Grammar Compiler.
ProbabilisticGrammarCompiler(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler
ProbabilisticGrammarTokenType - class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType.: Probabilistic Grammar Toke Type.
ProbabilisticGrammarTokenType() - Constructor for class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType: Constructor.
ProbabilisticParser - class marf.nlp.Parsing.ProbabilisticParser.: TODO: document and refactor $Id: ProbabilisticParser.java,v 1.23 2005/06/01 05:35:09 mokhov Exp $
ProbabilisticParser() - Constructor for class marf.nlp.Parsing.ProbabilisticParser
ProbabilisticParser(StreamTokenizer) - Constructor for class marf.nlp.Parsing.ProbabilisticParser
ProbabilisticParser(String) - Constructor for class marf.nlp.Parsing.ProbabilisticParser
ProbabilisticRule - class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule.: Probabilistic Rule.
ProbabilisticRule(NonTerminal) - Constructor for class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule
PROBABILITY - Static variable in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType: Probability token.
ProbabilityTable - class marf.Stats.ProbabilityTable.: Probability Table.
ProbabilityTable(String) - Constructor for class marf.Stats.ProbabilityTable
PROGRAM - Static variable in class marf.nlp.Parsing.TokenSubType
PUNCT - Static variable in class marf.nlp.Parsing.TokenType: Punctuation token type.
pushBracket(Token) - Method in class marf.nlp.Parsing.Parser

Q

query() - Method in class marf.Storage.Database: Retrieves subject's data from the database and populates internal data structures.
query() - Method in interface marf.Storage.IDatabase: Retrieves subject's data from the database and populates internal data structures.
queryResultID() - Static method in class marf.MARF: Queries for the final classification result.

R

RANDOM_CLASSIFICATION - Static variable in class marf.MARF: Indicates to use random classification.
RANDOM_FEATURE_EXTRACTION - Static variable in class marf.MARF: Indicates to use random feature extraction.
RandomClassification - class marf.Classification.RandomClassification.RandomClassification.: Random Classification Module is for testing purposes.
RandomClassification(FeatureExtraction) - Constructor for class marf.Classification.RandomClassification.RandomClassification: RandomClassification Constructor.
RandomFeatureExtraction - class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction.: Implementation of random feature extraction for testing as a baseline.
RandomFeatureExtraction(Preprocessing) - Constructor for class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction: RandomFeatureExtraction Constructor.
rankAll() - Method in class marf.Classification.Stochastic.ZipfLaw
RankComparator - class marf.util.comparators.RankComparator.: Rank Comparator.
RankComparator() - Constructor for class marf.util.comparators.RankComparator
Raw - class marf.Preprocessing.Dummy.Raw.: Implements raw preprocessing module for testing purposes that does not do any preprocessing.
RAW - Static variable in class marf.MARF: Indicates to use raw preprocessing, which means no preprocessing.
RAW_ZIPFS_LAW_DUMP - Static variable in class marf.MARF.NLP: Perform a raw dump of Zipf's Law data.
Raw(Preprocessing) - Constructor for class marf.Preprocessing.Dummy.Raw: Implementation of the preprocessing pipeline.
Raw(Sample) - Constructor for class marf.Preprocessing.Dummy.Raw: Raw Constructor.
READ - Static variable in class marf.nlp.Parsing.TokenSubType
readAudioData(double[]) - Method in interface marf.Storage.ISampleLoader: Reads audio data from the sample's audio stream into padAudioData.
readAudioData(double[]) - Method in class marf.Storage.Loaders.AIFFCLoader: Not Implemented.
readAudioData(double[]) - Method in class marf.Storage.Loaders.AIFFLoader: Not Implemented.
readAudioData(double[]) - Method in class marf.Storage.Loaders.AULoader: Not Implemented.
readAudioData(double[]) - Method in class marf.Storage.Loaders.MIDILoader: Not Implemented.
readAudioData(double[]) - Method in class marf.Storage.Loaders.MP3Loader: Not Implemented.
readAudioData(double[]) - Method in class marf.Storage.Loaders.SineLoader: Generates sine wave at 3 kHz +- 0.0 kHz with 8 kHz sampling rate.
readAudioData(double[]) - Method in class marf.Storage.Loaders.SNDLoader: Not Implemented.
readAudioData(double[]) - Method in class marf.Storage.Loaders.ULAWLoader: Not Implemented.
readAudioData(double[]) - Method in class marf.Storage.Loaders.WAVLoader: Buffers out the contents of atAudioBuffer into padAudioData.
REAL - Static variable in class marf.nlp.Parsing.SymDataType
REAL - Static variable in class marf.nlp.Parsing.TokenSubType
recognize() - Static method in class marf.MARF: Recognition/Identification mode.
RED_PERCENTAGE - Static variable in class marf.gui.util.ColoredStatusPanel: From 0% to 10% inclusively.
remove(int) - Method in class marf.util.FreeVector: Removes an element at index.
removeNoise() - Method in class marf.Preprocessing.Preprocessing: Derivatives should implement this method to remove noise from the sample.
removeNoise() - Method in class marf.Preprocessing.Dummy.Dummy: Dummy implementation of removeNoise() for testing.
removeNoise() - Method in class marf.Preprocessing.Endpoint.Endpoint: Not Implemented.
removeNoise() - Method in class marf.Preprocessing.FFTFilter.BandpassFilter: Stub implementation of removeNoise().
removeNoise() - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Stub implementation of removeNoise().
removeNoise() - Method in class marf.Preprocessing.FFTFilter.HighPassFilter: Stub implementation of removeNoise().
removeNoise() - Method in class marf.Preprocessing.FFTFilter.LowPassFilter: Stub implementation of removeNoise().
removeRange(int, int) - Method in class marf.util.FreeVector: Not implemented.
removeSilence() - Method in class marf.Preprocessing.Preprocessing: Derivatives should implement this method to remove silence.
removeSilence() - Method in class marf.Preprocessing.Dummy.Dummy: Dummy implementation of removeSilence() for testing.
removeSilence() - Method in class marf.Preprocessing.Endpoint.Endpoint: Not Implemented.
removeSilence() - Method in class marf.Preprocessing.FFTFilter.BandpassFilter: Stub implementation of removeSilence().
removeSilence() - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Stub implementation of removeSilence().
removeSilence() - Method in class marf.Preprocessing.FFTFilter.HighPassFilter: Stub implementation of removeSilence().
removeSilence() - Method in class marf.Preprocessing.FFTFilter.LowPassFilter: Stub implementation of removeSilence().
Reserved - Variable in class marf.nlp.Parsing.SymTabEntry
reset() - Method in interface marf.Storage.ISampleLoader: Resets the marker for the audio stream.
reset() - Method in class marf.Storage.SampleLoader: Resets the marker for the audio stream.
reset() - Method in class marf.Storage.Loaders.WAVLoader: Resets the marker for the audio and byte-array streams.
reset() - Method in class marf.nlp.util.NLPStreamTokenizer
resetArrayMark() - Method in class marf.Storage.Sample: Resets the marker used for reading audio data from sample array.
resetFilename() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
restore() - Method in class marf.Classification.Classification: Generic implementation of restore() for TrainingSet.
restore() - Method in class marf.Classification.Markov.Markov: Not Implemented.
restore() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Restores Neural Net from an XML file.
restore() - Method in class marf.Classification.Stochastic.Stochastic: Not Implemented.
restore() - Method in class marf.Classification.RandomClassification.RandomClassification: Restores "training set" of IDs.
restore() - Method in interface marf.Storage.IStorageManager: An object must know how retore its non-transient data structures from a file.
restore() - Method in class marf.Storage.StorageManager: An object must know how restore itself or its data structures from a file.
restore() - Method in class marf.Storage.TrainingSet: Retrieve the current training set from disk.
restore() - Method in class marf.gui.Spectrogram: Not implemented.
restore() - Method in class marf.gui.WaveGrapher: Not implemented.
restoreBinary() - Method in interface marf.Storage.IStorageManager: Implement to load data structures in binary form.
restoreBinary() - Method in class marf.Storage.StorageManager: Implements object loading from plain binary form without compression.
restoreCSV() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
restoreCSV() - Method in interface marf.Storage.IStorageManager: Implement to load data structures in CSV format.
restoreCSV() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of restore() with the CSV dump mode, they must override this method.
restoreCSV(BufferedReader) - Method in class marf.Storage.TrainingSample: Retrieve one training sample from a CSV file.
restoreGzipBinary() - Method in interface marf.Storage.IStorageManager: Implement to load data structures in compressed binary form.
restoreGzipBinary() - Method in class marf.Storage.StorageManager: Implements object loading from GZIP-compressed binary form.
restoreHTML() - Method in interface marf.Storage.IStorageManager: Implement to load data structures from an HTML document.
restoreHTML() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of restore() with the HTML dump mode, they must override this method.
restoreSQL() - Method in interface marf.Storage.IStorageManager: Implement to load data structures from an SQL script.
restoreSQL() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of restore() with the SQL dump mode, they must override this method.
restoreXML() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
restoreXML() - Method in interface marf.Storage.IStorageManager: Implement to load data structures from an XML document.
restoreXML() - Method in class marf.Storage.StorageManager: If derivatives use the generic implementation of restore() with the XML dump mode, they must override this method.
result - Variable in class marf.Classification.NeuralNetwork.Neuron: Current Neuron's result.
Result - class marf.Storage.Result.: Represents a single classification result - ID and some value indicating either certain distance from the sample being recognized or a probability.
Result() - Constructor for class marf.Storage.Result: Default Constructor.
Result(double, String) - Constructor for class marf.Storage.Result: Outcome/description Constructor.
Result(int) - Constructor for class marf.Storage.Result: ID Constructor.
Result(int, double) - Constructor for class marf.Storage.Result: ID/outcome Constructor.
Result(int, double, String) - Constructor for class marf.Storage.Result: General ID/outcome/description Constructor.
Result(int, String) - Constructor for class marf.Storage.Result: ID/description Constructor.
ResultComparator - class marf.util.comparators.ResultComparator.: Compares two Result objects for equality.
ResultComparator(int) - Constructor for class marf.util.comparators.ResultComparator: Takes the sorting mode into consideration.
ResultSet - class marf.Storage.ResultSet.: Class ResultSet represents classification result set - IDs and some stats.
ResultSet() - Constructor for class marf.Storage.ResultSet: Default constructor, which is equivalent to ResultSet(new Vector()).
ResultSet(Vector) - Constructor for class marf.Storage.ResultSet: ID Vector ResultSet Constructor.
RETURN - Static variable in class marf.nlp.Parsing.TokenSubType
RetValType - Variable in class marf.nlp.Parsing.FuncSymTabEntry: Return Value Type.
RHS - Variable in class marf.nlp.Parsing.GrammarCompiler.Rule: A vector of grammar elements on the right-hand-side of a production.
rowOperation(double, int) - Method in class marf.math.Matrix
rowOperation(double, int, char, double, int) - Method in class marf.math.Matrix
rowReduce() - Method in class marf.math.Matrix
Rule - class marf.nlp.Parsing.GrammarCompiler.Rule.: Rule.
RULE_OP - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: ::=.
Rule(NonTerminal) - Constructor for class marf.nlp.Parsing.GrammarCompiler.Rule
RulesFile - Variable in class marf.nlp.Parsing.GrammarCompiler.Grammar
run() - Method in class marf.Classification.NeuralNetwork.Neuron: The body of a Neuron thread.

S

S_CHECK_DEFINED - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: Semantic Tokens.
S_CHECK_MEMB_DEFINED - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType
S_CHECK_SCOPE - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType
S_DEFINE_CLASS - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType
S_DEFINE_FUNC - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType
S_DEFINE_VAR - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType
S_ENFORCE_INT - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType
S_TYPE_CHECK_AND_CAST - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType
Sample - class marf.Storage.Sample.: Audio sample data container.
Sample() - Constructor for class marf.Storage.Sample: Constructs default sample object.
Sample(double[]) - Constructor for class marf.Storage.Sample: Accepts pre-set sample; for testing.
Sample(int) - Constructor for class marf.Storage.Sample: Constructor with format indication.
SampleLoader - class marf.Storage.SampleLoader.: Absract class that provides samle loading interface.
SampleLoader() - Constructor for class marf.Storage.SampleLoader: Default constructor.
sastrExtensionsMap - Static variable in interface marf.Storage.IStorageManager: Maps DUMP_ constants to default filename extensions.
save() - Method in class marf.nlp.Parsing.TransitionTable: Saves current state of the TT (itself).
saveSample(File) - Method in interface marf.Storage.ISampleLoader: Prime SampleLoader interface.
saveSample(File) - Method in class marf.Storage.Loaders.AIFFCLoader: Not Implemented.
saveSample(File) - Method in class marf.Storage.Loaders.AIFFLoader: Not Implemented.
saveSample(File) - Method in class marf.Storage.Loaders.AULoader: Not Implemented.
saveSample(File) - Method in class marf.Storage.Loaders.MIDILoader: Not Implemented.
saveSample(File) - Method in class marf.Storage.Loaders.MP3Loader: Not Implemented.
saveSample(File) - Method in class marf.Storage.Loaders.SineLoader: Does nothing.
saveSample(File) - Method in class marf.Storage.Loaders.SNDLoader: Not Implemented.
saveSample(File) - Method in class marf.Storage.Loaders.ULAWLoader: Not Implemented.
saveSample(File) - Method in class marf.Storage.Loaders.WAVLoader: Saves the wave into a file for playback.
saveSample(String) - Method in interface marf.Storage.ISampleLoader: Same as saveSample(File) but takes filename as an argument.
saveSample(String) - Method in class marf.Storage.SampleLoader: Same as saveSample(File) but takes filename as an argument.
saveSample(String) - Method in class marf.Storage.Loaders.SineLoader: Does nothing.
sbDebugOn - Static variable in class marf.util.Debug: Public debug flag.
SCAN - Static variable in class marf.nlp.Parsing.SyntaxError: Recoverty action code specifying that one needs to keep scanning to recover.
scan() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Scan for tokens through the input stream.
SE_MISSING_SEMICOLON - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: Syntax Error Tokens.
search(String, String) - Method in class marf.nlp.Parsing.SymbolTable
search(String, String, boolean) - Method in class marf.nlp.Parsing.SymbolTable: Looks up an entry in either this table or in index.
Segmentation - class marf.FeatureExtraction.Segmentation.Segmentation.: Class Segmentation.
SEGMENTATION - Static variable in class marf.MARF: Indicates to use segmentation.
Segmentation(Preprocessing) - Constructor for class marf.FeatureExtraction.Segmentation.Segmentation: Segmentation Constructor.
SEMANTIC_TOKEN - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: Semantic token type.
SemanticAnalyzer - class marf.nlp.Parsing.SemanticAnalyzer.: Semantic Analyzer.
SemanticAnalyzer() - Constructor for class marf.nlp.Parsing.SemanticAnalyzer
SemanticError - exception marf.nlp.Parsing.SemanticError.: Class SemanticError.
SemanticError(int, Token) - Constructor for class marf.nlp.Parsing.SemanticError: Constructor 1.
SemanticError(Token, String) - Constructor for class marf.nlp.Parsing.SemanticError: Constructor 2 - An Alterantive to Unknown Error.
SemanticToken - class marf.nlp.Parsing.GrammarCompiler.SemanticToken.: Class SematicToken, for Semantic Analysis.
SemanticToken(String, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.SemanticToken
SemanticToken(Token) - Constructor for class marf.nlp.Parsing.GrammarCompiler.SemanticToken
SemanticToken(Token, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.SemanticToken
SematicErrors - Variable in class marf.nlp.Parsing.SemanticAnalyzer
SematicStack - Variable in class marf.nlp.Parsing.SemanticAnalyzer
SEMICOLON - Static variable in class marf.nlp.Parsing.TokenSubType
serialize(int) - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Load/Save the contents of lists such as Token list and Error list.
serialize(int) - Method in class marf.nlp.Parsing.LexicalAnalyzer: Load/Save the textual contents of such as Token list and Error list.
serialize(int) - Method in class marf.nlp.Parsing.SymbolTable
serialize(int) - Method in class marf.nlp.Parsing.TransitionTable: Serialize in text mode.
serialize(int) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Load/Save the contents of lists such as Token list and Error list.
serialize(int) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Text serialization routine for grammar compilation.
serialize(int) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Serialization.
serialize(int, FileWriter) - Method in class marf.nlp.Parsing.LexicalError: Serialization routine.
serialize(int, FileWriter) - Method in class marf.nlp.Parsing.SemanticError: Serialization routine.
serialize(int, FileWriter) - Method in class marf.nlp.Parsing.SyntaxError: Serialization routine.
serialize(int, FileWriter) - Method in class marf.nlp.Parsing.Token: Loads/Saves the token to a text file.
set(int, Object) - Method in class marf.util.FreeVector: Set an element of the vector given index.
setAll() - Method in class marf.math.Matrix: Default of 0.0.
setAll(double) - Method in class marf.math.Matrix: Sets all elements of the matrix to the specified value.
setArrayDimension(int) - Method in class marf.nlp.Parsing.VarSymTabEntry
setAudioFormat(int) - Method in class marf.Storage.MARFAudioFileFormat: Sets current format of a sample.
setAudioFormat(int) - Method in class marf.Storage.Sample: Sets current format of a sample.
setBorderedTitle(String) - Method in class marf.gui.util.BorderPanel: Sets the 5-point margin border in the panel with the specified parameter.
setClassificationMethod(int) - Static method in class marf.MARF: Sets classification method to be used.
setClassificationParams(Vector) - Method in class marf.Storage.ModuleParams: Sets classification parameters vector.
setCols(int) - Method in class marf.math.Matrix
setCurrentStatus(int) - Method in class marf.gui.util.ColoredStatusPanel
setCurrentSubject(int) - Static method in class marf.MARF: Sets ID of a subject currently being trained on.
setDataType(int) - Method in class marf.nlp.Parsing.VarSymTabEntry: Allowes to set data type of the variable.
setDataVector(double[]) - Method in class marf.Storage.TrainingSample: Sets new mean vector.
setDeclared(boolean) - Method in class marf.nlp.Parsing.SymTabEntry: Sets the value of the Declared property.
setDefined() - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Only allow to set it, but not unset.
setDescription(String) - Method in class marf.Storage.Result: Sets description of the result.
setDirection(int) - Method in class marf.math.Matrix.Direction: Sets new value of current direction.
setDumpMode(int) - Method in class marf.Storage.StorageManager: Sets the dump mode.
setDumpSpectrogram(boolean) - Static method in class marf.MARF: Indicates whether spectrogram is wanted as an output of a FeatureExtraction module.
setDumpWaveGraph(boolean) - Static method in class marf.MARF: Indicates whether wave graph is wanted as an output.
setElement(int, double) - Method in class marf.math.Vector
setElement(int, int, double) - Method in class marf.math.Matrix
setElementAt(Object, int) - Method in class marf.util.FreeVector: Set an element of the vector given index.
setEntryAt(NonTerminal, Terminal, Object) - Method in class marf.nlp.Parsing.TransitionTable: Sets the entry of a table.
setEOFTerminalID(int) - Method in class marf.nlp.Parsing.TransitionTable
setErrorCode(String) - Method in class marf.nlp.Parsing.SyntaxError
setErrorLogFilename(String) - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Sets the value of the ErrorLogFilename property.
setFeatureExtractionMethod(int) - Static method in class marf.MARF: Sets feature extraction method to be used.
setFeatureExtractionMethod(int) - Method in class marf.Storage.TrainingSet: Sets feature extraction method used on this training set.
setFeatureExtractionParams(Vector) - Method in class marf.Storage.ModuleParams: Sets feature extraction parameters vector.
setFilename(String) - Method in class marf.Storage.StorageManager: Allows to alter inner filename reference.
setFilename(String) - Method in class marf.Storage.TrainingSample: Sets a filename of the training sample.
setFrequencyResponse(double[]) - Method in class marf.Preprocessing.FFTFilter.FFTFilter: Sets frequency response.
setHeight(int) - Method in class marf.gui.util.SmartSizablePanel
setID(int) - Method in class marf.Storage.Result: Sets ID, should only be called by a Classification module.
setID(int) - Method in class marf.nlp.Parsing.SymTabEntry
setID(int) - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
setLang(String) - Method in class marf.Stats.ProbabilityTable
setLang(String) - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
setLanguage(String) - Static method in class marf.MARF.NLP: Sets current processed language.
setLexeme(String) - Method in class marf.nlp.Parsing.Token: Sets the value of the Lexeme property.
setLHS(NonTerminal) - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
setLineNo(int) - Method in class marf.nlp.Parsing.SyntaxError: Updates location.
setLowerBound(int) - Method in class marf.gui.util.ColoredStatusPanel
setMatrix2D(double[][]) - Method in class marf.math.Matrix: Sets internal array based on 2-dimensional parameter.
setMatrixArray(double[]) - Method in class marf.math.Matrix
setMeanVector(double[]) - Method in class marf.Storage.Cluster: Sets new mean vector.
setModuleParams(ModuleParams) - Static method in class marf.MARF: Sets module-specific parameters an application programmer wishes to pass on to the module.
setMultiplyDefined() - Method in class marf.nlp.Parsing.SymTabEntry
setMultiplyDefined(boolean) - Method in class marf.nlp.Parsing.SymTabEntry: Sets the value of the MultilplyDefined property.
setNgram(int, Ngram) - Method in class marf.Stats.Ngram
setNgramModel(int) - Static method in class marf.MARF.NLP: Sets current n-gram model.
setNonTerminals(Vector) - Method in class marf.nlp.Parsing.TransitionTable: Sets NonTerminals property.
setOccurence(int, double) - Method in class marf.Stats.ProbabilityTable
setOccurence(int, int, double) - Method in class marf.Stats.ProbabilityTable
setOccurence(int, int, int, double) - Method in class marf.Stats.ProbabilityTable
setOccurence(Vector, double) - Method in class marf.Stats.ProbabilityTable
setOutcome(double) - Method in class marf.Storage.Result: Sets outcome value.
setOutputFilename(String) - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Sets the value of the OutputFilename property.
setPopRecoveryAction() - Method in class marf.nlp.Parsing.SyntaxError
setPosition(Point) - Method in class marf.nlp.Parsing.Token: Sets the value of the Position property.
setPreprocessingMethod(int) - Static method in class marf.MARF: Sets preprocessing method to be used.
setPreprocessingMethod(int) - Method in class marf.Storage.TrainingSet: Sets feature extraction method used on this training set.
setPreprocessingParams(Vector) - Method in class marf.Storage.ModuleParams: Sets preprocessing parameters vector.
setProbability(double) - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule: Sets probability of the rule.
setRank(int) - Method in class marf.Stats.StatisticalObject
setResolved(int, boolean) - Method in class marf.nlp.Parsing.SymbolTable: By ID.
setResolved(String, boolean) - Method in class marf.nlp.Parsing.SymbolTable: Using string.
setRetValDataType(SymDataType) - Method in class marf.nlp.Parsing.FuncSymTabEntry
setRHS(Vector) - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
setRows(int) - Method in class marf.math.Matrix
setSample(Sample) - Method in interface marf.Storage.ISampleLoader: Sets internal sample reference from outside.
setSample(Sample) - Method in class marf.Storage.SampleLoader: Sets internal sample reference from outside.
setSampleArray(double[]) - Method in class marf.Storage.Sample: Sets the internal sample array (adSample) with the specified argument.
setSampleFile(String) - Static method in class marf.MARF: Sets input sample file name.
setSampleFormat(int) - Static method in class marf.MARF: Sets input sample file format.
setSamplesDir(String) - Static method in class marf.MARF: Sets directory with sample files to be read from.
setSampleSize(int) - Method in class marf.Storage.Sample: Sets internal size of the sample array.
setScanRecoveryAction() - Method in class marf.nlp.Parsing.SyntaxError
setSmoothingMethod(int) - Static method in class marf.MARF.NLP: Sets current smoothing method.
setSourceFilename(String) - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Sets the value of the SourceFilename property.
setStartNonTerminalID(int) - Method in class marf.nlp.Parsing.TransitionTable
setStreamTokenizer(NLPStreamTokenizer) - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
setStreamTokenizer(StreamTokenizer) - Method in class marf.nlp.Parsing.ProbabilisticParser
setSubjectID(int) - Method in class marf.Storage.TrainingSample: Sets new Subject ID.
setSubTypeByLexeme(String) - Method in class marf.nlp.Parsing.TokenSubType
setTableFile(String) - Method in class marf.nlp.Parsing.TransitionTable: Sets TableFile property.
setTerminals(Vector) - Method in class marf.nlp.Parsing.TransitionTable: Sets Terminals property.
setTokenType(TokenSubType) - Method in class marf.nlp.Parsing.Token: Sets the value of the TokenType property.
setType(int, int) - Method in class marf.nlp.Parsing.SymbolTable
setType(String, int) - Method in class marf.nlp.Parsing.SymbolTable
setUID(Token) - Method in class marf.nlp.Parsing.SymTabEntry
setUpperBound(int) - Method in class marf.gui.util.ColoredStatusPanel
setWidth(int) - Method in class marf.gui.util.SmartSizablePanel
setX(int) - Method in class marf.gui.util.SmartSizablePanel
setY(int) - Method in class marf.gui.util.SmartSizablePanel
SIMPLE - Static variable in class marf.nlp.Parsing.VarSymTabEntry: Simple (primitive type) variable.
SINE - Static variable in class marf.MARF: Sine sample format.
SINE - Static variable in class marf.Storage.MARFAudioFileFormat: Sine sample format.
SINE - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies SINE file.
SineLoader - class marf.Storage.Loaders.SineLoader.: Loads (by computing) a simple sine wave into the sample.
SineLoader() - Constructor for class marf.Storage.Loaders.SineLoader: Constructs default Sine Loader.
siNextTID - Static variable in class marf.util.BaseThread: Next TID to be assigned.
size() - Method in class marf.Stats.ProbabilityTable
size() - Method in class marf.Storage.FeatureSet: Sizes of the feature vectors set.
size() - Method in class marf.Storage.ResultSet: Retrieves result count of the results in this result set.
size() - Method in class marf.Storage.TrainingSet: Gets the size of the feature vectors set.
size() - Method in class marf.math.Matrix: Analoguous to getElements().
SLI - class marf.Stats.StatisticalEstimators.SLI.: SLI Statistical Estimator.
SLI - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use SLI estimator/smoothing.
SLI() - Constructor for class marf.Stats.StatisticalEstimators.SLI
SmartSizablePanel - class marf.gui.util.SmartSizablePanel.: TODO: massage and document $Id: SmartSizablePanel.java,v 1.6 2005/05/31 04:26:24 mokhov Exp $
SmartSizablePanel() - Constructor for class marf.gui.util.SmartSizablePanel
SmartSizablePanel(int, int, int, int) - Constructor for class marf.gui.util.SmartSizablePanel: Construction.
smooth() - Method in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta
smooth() - Method in class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring
smooth() - Method in class marf.Stats.StatisticalEstimators.Smoothing.Smoothing
smooth() - Method in class marf.Stats.StatisticalEstimators.Smoothing.WittenBell
Smoothing - class marf.Stats.StatisticalEstimators.Smoothing.Smoothing.: Generic Smoothing Estimator.
Smoothing() - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.Smoothing
SND - Static variable in class marf.MARF: SND sample format.
SND - Static variable in class marf.Storage.MARFAudioFileFormat: SND sample format.
SNDLoader - class marf.Storage.Loaders.SNDLoader.: Not Implemented.
SNDLoader() - Constructor for class marf.Storage.Loaders.SNDLoader: SND Loader Constructor.
sort(double[]) - Static method in class marf.util.Arrays: A wrapper of java.util.Arrays.sort(double[]).
sort(int) - Method in class marf.Storage.ResultSet: Perform sorting of the results in the result set.
sort(Object[], Comparator) - Static method in class marf.util.Arrays: A wrapper of java.util.Arrays.sort(Object[], Comparator).
SortComparator - class marf.util.SortComparator.: Sort Comparator is the base for all sorting operations in MARF.
SortComparator() - Constructor for class marf.util.SortComparator: When constsructed, default mode is ASCENDING.
SortComparator(int) - Constructor for class marf.util.SortComparator: When constsructed, the mode is the one specified.
SourceFilename - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer: File name of a file which serves as an input of the Lexical Analyzer.
SOUTH - Static variable in class marf.math.Matrix.Direction: Indicates South direction.
Spectrogram - class marf.gui.Spectrogram.: Class Spectrogram dumps a spectrogram to a PPM file.
Spectrogram() - Constructor for class marf.gui.Spectrogram: Constructor.
Spectrogram(String) - Constructor for class marf.gui.Spectrogram: Constructor with a feature extraction method name.
SpectrogramPanel - class marf.gui.SpectrogramPanel.: GUI component to draw spectrograms to be used by apps.
SpectrogramPanel() - Constructor for class marf.gui.SpectrogramPanel
SQR_CL - Static variable in class marf.nlp.Parsing.TokenSubType
SQR_OP - Static variable in class marf.nlp.Parsing.TokenSubType
sqrtHamming(int, int) - Static method in class marf.math.Algorithms.Hamming: Calculates square root Hamming window value given index and size.
start() - Method in class marf.util.ExpandedThreadGroup: Starts all threads in this group.
StartNonTerminal - Variable in class marf.nlp.Parsing.GrammarCompiler.Grammar: A reference to the starting state.
StartNonTerminalID - Variable in class marf.nlp.Parsing.TransitionTable
StatisticalEstimator - class marf.Stats.StatisticalEstimators.StatisticalEstimator.: Implements generic Statistical Estimator routines.
StatisticalEstimator() - Constructor for class marf.Stats.StatisticalEstimators.StatisticalEstimator
StatisticalObject - class marf.Stats.StatisticalObject.: Generic Statistical Object.
StatisticalObject() - Constructor for class marf.Stats.StatisticalObject
StatisticalObject(int) - Constructor for class marf.Stats.StatisticalObject
StatsCollector - class marf.Stats.StatsCollector.: TODO: Implement.
StatsCollector() - Constructor for class marf.Stats.StatsCollector
stem() - Method in class marf.nlp.Stemming.StemmingEN: Not implemented.
stem() - Method in class marf.nlp.Stemming.Stemming: Abstract stem method the derivatives must implement.
Stemming - class marf.nlp.Stemming.Stemming.: General Stemmer.
STEMMING - Static variable in class marf.MARF.NLP: Indicates to use stemming module.
Stemming() - Constructor for class marf.nlp.Stemming.Stemming
StemmingEN - class marf.nlp.Stemming.StemmingEN.: English Language Stemmer.
StemmingEN() - Constructor for class marf.nlp.Stemming.StemmingEN
Stochastic - class marf.Classification.Stochastic.Stochastic.: Generic Stochastic Classification Module.
STOCHASTIC - Static variable in class marf.MARF: Indicates to use stochastic models for classification.
Stochastic(FeatureExtraction) - Constructor for class marf.Classification.Stochastic.Stochastic: Stochastic Constructor.
StorageException - exception marf.Storage.StorageException.: Class StorageException.
StorageException(Exception) - Constructor for class marf.Storage.StorageException: Exception wrapper constructor.
StorageException(String) - Constructor for class marf.Storage.StorageException: Generic exception.
StorageManager - class marf.Storage.StorageManager.: Class StorageManager.
StorageManager() - Constructor for class marf.Storage.StorageManager: Default constructor equivalent to StorageManager(null, getClass().getName()).
StorageManager(Object) - Constructor for class marf.Storage.StorageManager: General constructor with serializable object parameter.
StorageManager(Object, String) - Constructor for class marf.Storage.StorageManager: General constructor with filename and serializable object parameters.
StorageManager(String) - Constructor for class marf.Storage.StorageManager: Constructor with filename parameter equivalent to StorageManager(null, pstrFilename).
strDescription - Variable in class marf.Storage.Result: Textual result description.
streamedRecognition() - Static method in class marf.MARF: Meant to provide implementation of the buffered sample processing for large samples.
strFilename - Variable in class marf.Storage.StorageManager: Filename of the file to be dumped/restored.
stringToByteArray(String) - Static method in class marf.util.ByteUtils: Converts a String value to a byte array in US-ASCII charset.
stringToByteArray(String, String) - Static method in class marf.util.ByteUtils: Attempts to convert a String value to a byte array in specified charset.
strMessage - Variable in class marf.util.MARFException: Error message container.
strMethod - Variable in class marf.gui.Spectrogram: To differentiate file names based on the feature extraction method name.
Structure - Variable in class marf.nlp.Parsing.VarSymTabEntry: Structure.
subList(int, int) - Method in class marf.util.FreeVector: Retrieves a sublist subset of vector elements given index boundaries.
subtype - Variable in class marf.nlp.Parsing.TokenSubType
SymbolTable - class marf.nlp.Parsing.SymbolTable.: Symbol Table implementation.
SymbolTable() - Constructor for class marf.nlp.Parsing.SymbolTable: Default Constructor.
SymbolTable(String) - Constructor for class marf.nlp.Parsing.SymbolTable
SymbolTable(String, SymbolTable) - Constructor for class marf.nlp.Parsing.SymbolTable
SymDataType - class marf.nlp.Parsing.SymDataType.: User-defined symbol's data type.
SymDataType() - Constructor for class marf.nlp.Parsing.SymDataType: Default Constructor.
SymDataType(int) - Constructor for class marf.nlp.Parsing.SymDataType: Just another dummy constructor.
SymTab - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer
SymTab - Variable in class marf.nlp.Parsing.SemanticAnalyzer
SymTabEntry - class marf.nlp.Parsing.SymTabEntry.: This class denotes one entry per user-defined symbol in the Sumbol Table.
SymTabEntry() - Constructor for class marf.nlp.Parsing.SymTabEntry
SymTabEntry(String) - Constructor for class marf.nlp.Parsing.SymTabEntry
SymTabEntry(Token) - Constructor for class marf.nlp.Parsing.SymTabEntry
SymTabEntry(Token, boolean) - Constructor for class marf.nlp.Parsing.SymTabEntry
SymTabEntry(Token, SymDataType) - Constructor for class marf.nlp.Parsing.SymTabEntry
SymTabIndex - Static variable in class marf.nlp.Parsing.SymbolTable: Global Index 'pointing' to all SymbolTables to speedup search.
SyntaxError - exception marf.nlp.Parsing.SyntaxError.: Syntax Errors.
SyntaxError(int) - Constructor for class marf.nlp.Parsing.SyntaxError: Constructor 0.
SyntaxError(int, Token) - Constructor for class marf.nlp.Parsing.SyntaxError: Constructor 1.
SyntaxError(String) - Constructor for class marf.nlp.Parsing.SyntaxError
SyntaxError(Token, String) - Constructor for class marf.nlp.Parsing.SyntaxError: Constructor 2 - An Alterantive to Unknown Error.
SyntaxErrors - Variable in class marf.nlp.Parsing.Parser: A list of Syntax Errors so far.

T

TableFile - Variable in class marf.nlp.Parsing.TransitionTable: Prepared file name of a file with the saved table (if available).
Terminal - class marf.nlp.Parsing.GrammarCompiler.Terminal.: Terminal Symbol.
Terminal(String, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.Terminal
Terminal(Token, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.Terminal
Terminals - Variable in class marf.nlp.Parsing.TransitionTable: Vector of Terminals as "column-pointers" to TT.
test - class test.: Startup utility class allowing querying MARF's version class revisions, and copyright.
test() - Constructor for class test
THEN - Static variable in class marf.nlp.Parsing.TokenSubType
THIS - Static variable in class marf.nlp.Parsing.TokenSubType
threshold - Variable in class marf.Classification.NeuralNetwork.Neuron: Activation threshhold.
toAbbrString() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
Token - class marf.nlp.Parsing.Token.: This class denotes a Token data structure.
Token(String, Point, TokenSubType) - Constructor for class marf.nlp.Parsing.Token: Constructor.
Token(Token) - Constructor for class marf.nlp.Parsing.Token: Simulation of a copy-constructor.
TokenList - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer
TokenSubType - class marf.nlp.Parsing.TokenSubType.: C+- Specific Tokens Types.
TokenSubType() - Constructor for class marf.nlp.Parsing.TokenSubType: Default Constructor.
TokenSubTypes - Static variable in class marf.nlp.Parsing.TokenSubType
TokenType - class marf.nlp.Parsing.TokenType.: Generic Token Type.
TokenType() - Constructor for class marf.nlp.Parsing.TokenType: Default Constructor.
TokenTypes - Static variable in class marf.nlp.Parsing.TokenType: Hash representing literal values of the above tokens (for output, for example).
toString() - Method in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes: Creates String representation of the inner feature vector.
toString() - Method in class marf.Classification.RandomClassification.RandomClassification: Returns string representation of the internals of this object.
toString() - Method in class marf.Storage.Result: Retrieves the result values in a form of string, which is of the following form: [ID:outcome:description].
toString() - Method in class marf.Storage.ResultSet: Returns inner ResultSet data converted to string.
toString() - Method in class marf.math.Matrix: Textual representation of the matrix.
toString() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement
toString() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule: Overrides Object's toString() to human-readable production rule.
toString() - Method in class marf.util.OptionProcessor: Converts the internals of the OptionProcessor to a string and returns it.
toStringNumeric() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule
TRAILING_ZEROS - Static variable in class marf.nlp.Parsing.LexicalError: Not meaningful trailing zeros aren't allowed.
TRAIN - Static variable in class marf.MARF.NLP: Action to train a classifier.
train() - Static method in class marf.MARF: Training mode.
train() - Method in class marf.Classification.Classification: Generic training routine for building/updating mean vectors in the training set.
train() - Method in class marf.Classification.Markov.Markov: Not Implemented.
train() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Implementes training of Neural Net.
train() - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier: Performs training of underlying statistical estimator and goes through restore/dump cycle to save the available languages.
train() - Method in class marf.Classification.Stochastic.Stochastic: Not Implemented.
train() - Method in class marf.Classification.RandomClassification.RandomClassification: Simply stores incoming ID's.
train() - Method in class marf.Stats.StatisticalEstimators.GLI
train() - Method in class marf.Stats.StatisticalEstimators.KatzBackoff
train() - Method in class marf.Stats.StatisticalEstimators.SLI
train() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator: Every estimator needs to implement its specific training method.
train() - Method in class marf.Stats.StatisticalEstimators.Smoothing.Smoothing
train() - Method in class marf.nlp.Parsing.ProbabilisticParser
train(double[], int, double) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Actual training of the net.
train(double, double, double) - Method in class marf.Classification.NeuralNetwork.Neuron: Neuron training.
TrainingSample - class marf.Storage.TrainingSample.: TrainingSample contains one item in the training set.
TrainingSample() - Constructor for class marf.Storage.TrainingSample
TrainingSet - class marf.Storage.TrainingSet.: TrainingSet -- Encapsulates Subject ID and subject's clusters or a feature set.
TrainingSet() - Constructor for class marf.Storage.TrainingSet: Construct a training set object.
TransitionTable - class marf.nlp.Parsing.TransitionTable.: TransitionTable class stores transition table for the main parser.
TransitionTable() - Constructor for class marf.nlp.Parsing.TransitionTable: Default Cosntructor.
TransitionTable(String) - Constructor for class marf.nlp.Parsing.TransitionTable: Constructor with params.
transpose() - Method in class marf.math.Matrix: Matrix transpose.
TRIGRAM - Static variable in interface marf.MARF.INgramModels: Indicates to use trigram language model.
TT - Variable in class marf.nlp.Parsing.TransitionTable: Transition Table (TT) is a Vector of Vectors of Objects, such as Rules and SyntaxErrors.
TTest - class marf.nlp.Collocations.TTest.: TODO: implement.
TTest() - Constructor for class marf.nlp.Collocations.TTest
type - Variable in class marf.Classification.NeuralNetwork.Neuron: Current neuron type.
type - Variable in class marf.nlp.Parsing.SymDataType
type - Variable in class marf.nlp.Parsing.TokenType: Current token type.
Type - Variable in class marf.nlp.Parsing.GrammarCompiler.Terminal

U

UID - Variable in class marf.nlp.Parsing.SymTabEntry: Entry symbol, encapsulated as Token.
ULAW - Static variable in class marf.MARF: Indicates ULAW incoming sample file format.
ULAW - Static variable in class marf.Storage.MARFAudioFileFormat: Indicates ULAW incoming sample file format.
ULAW - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies ULAW file.
ULAWLoader - class marf.Storage.Loaders.ULAWLoader.: Not Implemented.
ULAWLoader() - Constructor for class marf.Storage.Loaders.ULAWLoader: ULAWLoader Constructor.
UNDEF - Static variable in class marf.Classification.NeuralNetwork.Neuron: Indicates undefined neuron type.
UNDEF - Static variable in class marf.util.OptionProcessor: Indicates undefined option (-1).
UNDEF_SYM - Static variable in class marf.nlp.Parsing.SemanticError: Undefined Symbol.
UNEXPECTED_EOF - Static variable in class marf.nlp.Parsing.LexicalError: Unxepected EOF and no ending comment.
UNIGRAM - Static variable in interface marf.MARF.INgramModels: Indicates to use unigram language model.
UNK - Static variable in class marf.Storage.MARFAudioFileFormat: Unknown sample format.
UNKNOWN - Static variable in class marf.nlp.Parsing.SymDataType
UNKNOWN - Static variable in class marf.nlp.Parsing.TokenType: Unknown token type.
UNSET - Static variable in class marf.MARF: Value indecating that some configuration param is not set.
updateEntry(String, String, boolean) - Method in class marf.nlp.Parsing.SymbolTable
updateSample() - Method in interface marf.Storage.ISampleLoader: updateSample() is just used whenever the AudioInputStream is assigned to a new value (wave file).
updateSample() - Method in class marf.Storage.SampleLoader: updateSample() is just used whenever the AudioInputStream is assigned to a new value (wave file).
updateSample() - Method in class marf.Storage.Loaders.SineLoader: Overridden to reset sample's array mark only.
updateTokenInfo(Token) - Method in class marf.nlp.Parsing.SyntaxError: Allows update the state of an error, since the info might not be initially available (in the TT, for example).

V

validNum(String) - Method in class marf.nlp.Parsing.LexicalAnalyzer: Validates that an incoming string is a valid number or not.
ValidPunctuation - Static variable in class marf.nlp.Parsing.TokenSubType
VARIABLE - Static variable in class marf.nlp.Parsing.SymTabEntry: Variable entry type.
VarSymTabEntry - class marf.nlp.Parsing.VarSymTabEntry.: Variable SymTab Entry.
VarSymTabEntry() - Constructor for class marf.nlp.Parsing.VarSymTabEntry: Default Construtor.
Vector - class marf.math.Vector.: Algebraic operations on vectors.
Vector() - Constructor for class marf.math.Vector
Vector(double[]) - Constructor for class marf.math.Vector
Vector(int) - Constructor for class marf.math.Vector
Vector(Matrix) - Constructor for class marf.math.Vector
Vector(Vector) - Constructor for class marf.math.Vector

W

W3C_XML_SCHEMA - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: XML 2001 Schema.
WAV - Static variable in class marf.MARF: Indicates WAVE incoming sample file format.
WAV - Static variable in class marf.Storage.MARFAudioFileFormat: Indicates WAVE incoming sample file format.
WaveGrapher - class marf.gui.WaveGrapher.: Class WaveGrapher.
WaveGrapher(double[], double, double, String, String) - Constructor for class marf.gui.WaveGrapher: Constructor.
WaveGrapherPanel - class marf.gui.WaveGrapherPanel.: GUI component to draw wave forms to be used by apps.
WaveGrapherPanel() - Constructor for class marf.gui.WaveGrapherPanel
WAVLoader - class marf.Storage.Loaders.WAVLoader.: Loads/stores samples of WAV format.
WAVLoader() - Constructor for class marf.Storage.Loaders.WAVLoader: WAVLoader Constructor.
WEST - Static variable in class marf.math.Matrix.Direction: Indicates West direction.
WHILE - Static variable in class marf.nlp.Parsing.TokenSubType
WITTEN_BELL - Static variable in interface marf.MARF.IStatisticalEstimators: Indicates to use Witten-Bell estimator/smoothing.
WittenBell - class marf.Stats.StatisticalEstimators.Smoothing.WittenBell.: Represents Witten-Bell Smoothing Algorithm.
WittenBell() - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.WittenBell
WordStats - class marf.Stats.WordStats.: A pure container for statistics of a word --- No business logic.
WordStats() - Constructor for class marf.Stats.WordStats
WordStats(int) - Constructor for class marf.Stats.WordStats
WordStats(int, String) - Constructor for class marf.Stats.WordStats
WRITE - Static variable in class marf.nlp.Parsing.TokenSubType
writeAudioData(double[], int) - Method in interface marf.Storage.ISampleLoader: Writes audio data into the sample's audio stream.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.AIFFCLoader: Not Implemented.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.AIFFLoader: Not Implemented.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.AULoader: Not Implemented.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.MIDILoader: Not Implemented.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.MP3Loader: Not Implemented.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.SineLoader: Does nothing.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.SNDLoader: Not Implemented.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.ULAWLoader: Not Implemented.
writeAudioData(double[], int) - Method in class marf.Storage.Loaders.WAVLoader: Buffers the contents of padAudioData into atAudioBuffer.

Y

YELLOW_PERCENTAGE - Static variable in class marf.gui.util.ColoredStatusPanel: From 11% (RED_PERCENTAGE + 1) to 40% inclusively.

Z

ZipfLaw - class marf.Classification.Stochastic.ZipfLaw.: Module exercising Zipf's Law.
ZipfLaw(FeatureExtraction) - Constructor for class marf.Classification.Stochastic.ZipfLaw
ZipfLaw(String) - Constructor for class marf.Classification.Stochastic.ZipfLaw
ZIPFS_LAW_CHEAT - Static variable in class marf.MARF.NLP: When classifying, cheat with Zipf's Law implementation.

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