A B C D E F G H I J K L M N O P Q R S T U V W Y Z

A

add(Matrix, Matrix) - Static method in class marf.math.Matrix

M3 = M1 + M2.

add(Vector) - Method in class marf.math.Vector

V1 = this + V.

add(Vector, Vector) - Static method in class marf.math.Vector

V3 = V1 + V2.

add(int, Object) - Method in class marf.util.FreeVector

Adds an element of the vector at the specified index.

add(int[], Object) - Method in class marf.util.Matrix

Not implemented.

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.

addActiveOption(int, String) - Method in class marf.util.OptionProcessor

Allows adding an active option to the set of active options directly.

addActiveOption(OptionProcessor.Option) - Method in class marf.util.OptionProcessor

Adds active option.

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 in marf.Stats.StatisticalEstimators.Smoothing

Add-Delta Smoothing Estimator.

AddDelta(double) - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.AddDelta

addEntry(int, Token) - Method in class marf.nlp.Parsing.SymbolTable

Not implemented.

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[], String, int) - Method in class marf.Storage.Cluster

Adds new feature vector to the mean and recomputes the mean.

addFeatureVector(double[], int, String, int, int) - Method in class marf.Storage.FeatureSet

Appends yet another feature vector.

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

Adds an N-gram at the end of the N-gram elements array.

addNonTeminal(NonTerminal) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar

AddOne - Class in marf.Stats.StatisticalEstimators.Smoothing

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, String) - Method in class marf.Storage.ResultSet

Add result to the result set.

addResult(int, double) - 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

Not implemented.

addSymbol(Token, int) - Method in class marf.nlp.Parsing.SymbolTable

Not implemented.

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(Vector) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement

Appends elements from the passed set to its current first set.

addToFirstSet(Terminal) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement

Adds a single terminal to the first set.

addToFirstSet(NonTerminal) - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement

Adds a single non-terminal to the first set.

addToFollowSet(Vector) - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal

Appends elements from the passed set to its current follow set.

addToFollowSet(Terminal) - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal

Adds a single terminal to the follow set.

addToFollowSet(NonTerminal) - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal

Adds a single non-terminal to the 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.

addValidOption(int, String, boolean) - Method in class marf.util.OptionProcessor

Allows adding a valid option to the set of valid options indicating the necessity of argument to it.

addValidOption(OptionProcessor.Option) - Method in class marf.util.OptionProcessor

Adds valid option.

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).

aiDimensions - Variable in class marf.util.Matrix

Matrix dimensions.

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 in marf.Storage.Loaders

Not Implemented.

AIFFCLoader() - Constructor for class marf.Storage.Loaders.AIFFCLoader

AIFFC Loader Constructor.

AIFFLoader - Class in marf.Storage.Loaders

Not Implemented.

AIFFLoader() - Constructor for class marf.Storage.Loaders.AIFFLoader

AIFF Loader Constructor.

Algorithms - Class in marf.math

Collection of algorithms to be used by the modules.

Algorithms.FFT - Class in marf.math

A collection of FFT-related math.

Algorithms.FFT() - Constructor for class marf.math.Algorithms.FFT

Algorithms.Hamming - Class in marf.math

A collection of Hamming Window-related algorithms.

Algorithms.Hamming() - Constructor for class marf.math.Algorithms.Hamming

Algorithms.LPC - Class in marf.math

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 in marf.util

marf.util.Arrays is an extension of java.util.Arrays to group a lot of commonly used arrays-related functionality in one place.

Arrays() - Constructor for class marf.util.Arrays

The protected default constructor provided to allow making extension of this class if developers desire to do so.

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.

arrayToVector(float[]) - Static method in class marf.util.Arrays

Converts array of floats to Vector.

arrayToVector(short[]) - Static method in class marf.util.Arrays

Converts array of shorts to Vector.

arrayToVector(long[]) - Static method in class marf.util.Arrays

Converts array of longs to Vector.

arrayToVector(char[]) - Static method in class marf.util.Arrays

Converts array of characters to Vector.

arrayToVector(byte[]) - Static method in class marf.util.Arrays

Converts array of bytes to Vector.

arrayToVector(String[]) - Static method in class marf.util.Arrays

Converts array of Strings 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 exception 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 in marf.Storage.Loaders

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.

B

backSynchronizeObject() - Method in class marf.FeatureExtraction.FeatureExtraction

Implementaion of back-synchronization of loaded object.

backSynchronizeObject() - Method in class marf.nlp.Parsing.ProbabilisticParser

backSynchronizeObject() - Method in class marf.Preprocessing.Preprocessing

Implementaion of back-synchronization of Sample 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().

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 exception 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 in marf.Preprocessing.FFTFilter

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 in marf.util

Class BaseThread is customized base class for many of our own threads.

BaseThread() - Constructor for class marf.util.BaseThread

Default constructor.

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(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.

BaseThread(String) - Constructor for class marf.util.BaseThread

Assigns name to the thread.

BaseThread(ExpandedThreadGroup, String) - Constructor for class marf.util.BaseThread

Assigns name to the thread and places it to the specified expanded group.

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(int) - Constructor for class marf.util.BaseThread

Sets user-specified thread ID and resets the sequencing from it.

bAvailable - Variable in class marf.util.Logger

Indicates if logging is available.

bConnected - Variable in class marf.Storage.Database

Indicates whether we are connected or not.

bDumpOnNotFound - Variable in class marf.Storage.StorageManager

If set to true (the default), causes restoreBinary() or restoreGzipBinary() to create a file if it does not exist.

BIGRAM - Static variable in interface marf.MARF.INgramModels

Indicates to use bigram language model.

binarySearch(float[], float) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

binarySearch(double[], double) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

binarySearch(short[], short) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

binarySearch(int[], int) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

binarySearch(byte[], byte) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

binarySearch(char[], char) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

binarySearch(Object[], Object) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

binarySearch(Object[], Object, Comparator) - Static method in class marf.util.Arrays

The binarySearch() routine is based on java.util.Arrays.binarySearch().

bNoTimestamp - Variable in class marf.util.Logger

If set to true, no timestamp is issued with a message.

BorderPanel - Class in marf.gui.util

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.

bRequiresArgument - Variable in class marf.util.OptionProcessor.Option

A flag is set to true if the option has a mandatory argument.

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 in marf.util

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 in marf.FeatureExtraction.Cepstral

Class Cepstral.

Cepstral(IPreprocessing) - Constructor for class marf.FeatureExtraction.Cepstral.Cepstral

Cepstral Constructor.

CEPSTRAL - Static variable in class marf.MARF

Indicates to use cepstral analysis.

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 in marf.Classification.Distance

Chebyshev Distance Classifier.

ChebyshevDistance(IFeatureExtraction) - Constructor for class marf.Classification.Distance.ChebyshevDistance

ChebyshevDistance Constructor.

checkUndefinedNonTerminals() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler

ChiSquareTest - Class in marf.nlp.Collocations

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 in marf.Classification

Abstract Classification Module.

Classification(IFeatureExtraction) - Constructor for class marf.Classification.Classification

Generic Classification Constructor.

CLASSIFICATION_PLUGIN - Static variable in class marf.MARF

Indicates to employ user-defined classification plugin.

ClassificationException - Exception in marf.Classification

Class ClassificationException indicates an error during classification process.

ClassificationException(String) - Constructor for exception marf.Classification.ClassificationException

Generic exception.

ClassificationException(Exception) - Constructor for exception marf.Classification.ClassificationException

Replicates parent's constructor.

ClassificationException(String, Exception) - Constructor for exception marf.Classification.ClassificationException

Replicates parent's constructor.

classify() - Method in class marf.Classification.Distance.Distance

Classify the feature vector based on whatever distance() derivatives implement.

classify() - Method in interface marf.Classification.IClassification

Generic 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.RandomClassification.RandomClassification

Picks an ID at random.

classify() - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier

Performs language classification.

classify() - Method in class marf.Classification.Stochastic.Stochastic

Not Implemented.

CLASSIFY - Static variable in class marf.MARF.NLP

Action to perform a classification task.

ClassSymTabEntry - Class in marf.nlp.Parsing

Class SymTab Entry.

ClassSymTabEntry() - Constructor for class marf.nlp.Parsing.ClassSymTabEntry

Default Constructor.

clear() - Method in class marf.util.OptionProcessor

Clears out all the option lists of this option processor.

clone() - Method in class marf.math.Matrix

Implements Clonable interface.

clone() - Method in class marf.math.Vector

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 in marf.Storage

Cluster contains a cluster information per subject.

Cluster() - Constructor for class marf.Storage.Cluster

CodeGenerator - Class in marf.nlp.Parsing

Code Generator.

CodeGenerator() - Constructor for class marf.nlp.Parsing.CodeGenerator

collectStatistics(StreamTokenizer) - Method in class marf.Classification.Stochastic.ZipfLaw

Collects result statistics.

CollocationWindow - Class in marf.nlp.Collocations

TODO: implement.

CollocationWindow() - Constructor for class marf.nlp.Collocations.CollocationWindow

ColoredStatusPanel - Class in marf.gui.util

Panel to be used as a status bar with color gradience.

ColoredStatusPanel(int, int, int, int, int, int, int) - Constructor for class marf.gui.util.ColoredStatusPanel

Construction.

ColoredStatusPanel() - Constructor for class marf.gui.util.ColoredStatusPanel

Default panel as ColoredStatusPanel(0, 0, 0, 0, 0, 100, 50).

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

Not implemented.

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 in marf.nlp.Parsing

Compiler Class.

Compiler() - Constructor for class marf.nlp.Parsing.Compiler

CompilerError - Exception in marf.nlp.Parsing

Generic Compiler Error.

CompilerError() - Constructor for exception marf.nlp.Parsing.CompilerError

Default Constructor.

CompilerError(Exception) - Constructor for exception marf.nlp.Parsing.CompilerError

CompilerError(String) - Constructor for exception marf.nlp.Parsing.CompilerError

CompilerError(String, Exception) - Constructor for exception 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(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.

contains(GrammarElement) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar

As the contains(String), but for GrammarElements.

containsNonTerminal(String) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar

containsTerminal(String) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar

copy(Object, int, Object, int, int) - Static method in class marf.util.Arrays

Generic copy() routine is based on System.arraycopy().

copy(Object[], int, Object[], int, int) - Static method in class marf.util.Arrays

Generic copy() routine is based on System.arraycopy() for Object arrays.

copy(boolean[], int, boolean[], int, int) - Static method in class marf.util.Arrays

Copies N boolean elements from source to destination starting at certain index in the destination.

copy(byte[], int, byte[], int, int) - Static method in class marf.util.Arrays

Copies N byte elements from source to destination starting at certain index in the destination.

copy(char[], int, char[], int, int) - Static method in class marf.util.Arrays

Copies N character elements from source to destination starting at certain index in the destination.

copy(int[], int, int[], int, int) - Static method in class marf.util.Arrays

Copies N integer elements from source to destination starting at certain index in the destination.

copy(short[], int, short[], int, int) - Static method in class marf.util.Arrays

Copies N short elements from source to destination starting at certain index in the destination.

copy(long[], int, long[], int, int) - Static method in class marf.util.Arrays

Copies N long elements from source to destination starting at certain index in the destination.

copy(float[], int, float[], int, int) - Static method in class marf.util.Arrays

Copies N float 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(Object, int, Object, int) - Static method in class marf.util.Arrays

Generic copy() routine is based on System.arraycopy().

copy(Object[], int, Object[], int) - Static method in class marf.util.Arrays

Generic copy() routine is based on System.arraycopy() for Object arrays.

copy(char[], int, char[], int) - Static method in class marf.util.Arrays

Copies N character elements from source to destination starting at certain index in the destination.

copy(boolean[], int, boolean[], int) - Static method in class marf.util.Arrays

Copies N boolean elements from source to destination starting at certain index in the destination.

copy(byte[], int, byte[], int) - Static method in class marf.util.Arrays

Copies N byte elements from source to destination starting at certain index in the destination.

copy(int[], int, int[], int) - Static method in class marf.util.Arrays

Copies N integer elements from source to destination starting at certain index in the destination.

copy(short[], int, short[], int) - Static method in class marf.util.Arrays

Copies N short elements from source to destination starting at certain index in the destination.

copy(long[], int, long[], int) - Static method in class marf.util.Arrays

Copies N long elements from source to destination starting at certain index in the destination.

copy(float[], int, float[], int) - Static method in class marf.util.Arrays

Copies N float elements from 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(Object[], int, Object[]) - Static method in class marf.util.Arrays

Generic copy() routine is based on System.arraycopy() for Object arrays.

copy(boolean[], int, boolean[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(byte[], int, byte[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(char[], int, char[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(int[], int, int[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(short[], int, short[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(long[], int, long[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(float[], int, float[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(double[], int, double[]) - Static method in class marf.util.Arrays

Copies source to destination starting at certain index in the destination.

copy(Object, Object, int) - Static method in class marf.util.Arrays

Generic copy() routine is based on System.arraycopy().

copy(Object[], Object[], int) - Static method in class marf.util.Arrays

Generic copy() routine is based on System.arraycopy() for Object arrays.

copy(char[], char[], int) - Static method in class marf.util.Arrays

Copies N character elements from source to destination.

copy(boolean[], boolean[], int) - Static method in class marf.util.Arrays

Copies N boolean elements from source to destination.

copy(byte[], byte[], int) - Static method in class marf.util.Arrays

Copies N byte elements from source to destination.

copy(short[], short[], int) - Static method in class marf.util.Arrays

Copies N short elements from source to destination.

copy(long[], long[], int) - Static method in class marf.util.Arrays

Copies N long elements from source to destination.

copy(float[], float[], int) - Static method in class marf.util.Arrays

Copies N float elements from source to destination.

copy(double[], double[], int) - Static method in class marf.util.Arrays

Copies N double elements from source to destination.

copy(int[], int[], int) - Static method in class marf.util.Arrays

Copies N int elements from source to destination.

copy(double[], int, int[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N int elements from an array of ints into array of doubles.

copy(double[], int[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N int elements from an array of ints into array of doubles.

copy(double[], int[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all int elements from an array of ints into array of doubles.

copy(float[], int, int[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N int elements from an array of ints into array of floats.

copy(float[], int[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N int elements from an array of ints into array of floats.

copy(float[], int[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all int elements from an array of ints into array of floats.

copy(long[], int, int[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N int elements from an array of ints into array of longs.

copy(long[], int[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N int elements from an array of ints into array of longs.

copy(long[], int[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all int elements from an array of ints into array of longs.

copy(short[], int, int[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N int elements from an array of ints into array of shorts.

copy(short[], int[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N int elements from an array of ints into array of shorts.

copy(short[], int[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all int elements from an array of ints into array of shorts.

copy(byte[], int, int[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N int elements from an array of ints into array of bytes.

copy(byte[], int[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N int elements from an array of ints into array of bytes.

copy(byte[], int[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all int elements from an array of ints into array of bytes.

copy(char[], int, int[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N int elements from an array of ints into array of characters.

copy(char[], int[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N int elements from an array of ints into array of characters.

copy(char[], int[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all int elements from an array of ints into array of characters.

copy(int[], int, double[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N double elements from an array of doubles into array of integers.

copy(int[], double[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N double elements from an array of doubles into array of integers.

copy(int[], double[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all double elements from an array of doubles into array of ints.

copy(char[], int, double[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N double elements from an array of doubles into array of characters.

copy(char[], double[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N double elements from an array of doubles into array of characters.

copy(char[], double[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all double elements from an array of doubles into array of characters.

copy(byte[], int, double[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N double elements from an array of doubles into array of bytes.

copy(byte[], double[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N double elements from an array of doubles into array of bytes.

copy(byte[], double[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all double elements from an array of doubles into array of bytes.

copy(float[], int, double[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N double elements from an array of doubles into array of floats.

copy(float[], double[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N double elements from an array of doubles into array of floats.

copy(float[], double[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all double elements from an array of doubles into array of floats.

copy(short[], int, double[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N double elements from an array of doubles into array of shorts.

copy(short[], double[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N double elements from an array of doubles into array of shorts.

copy(short[], double[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all double elements from an array of doubles into array of shorts.

copy(long[], int, double[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N double elements from an array of doubles into array of longs.

copy(long[], double[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N double elements from an array of doubles into array of longs.

copy(long[], double[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all double elements from an array of doubles into array of longs.

copy(char[], int, float[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N float elements from an array of floats into array of characters.

copy(char[], float[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N float elements from an array of floats into array of characters.

copy(char[], float[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all float elements from an array of floats into array of characters.

copy(byte[], int, float[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N float elements from an array of floats into array of bytes.

copy(byte[], float[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N float elements from an array of floats into array of bytes.

copy(byte[], float[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all float elements from an array of floats into array of characters.

copy(int[], int, float[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N float elements from an array of floats into array of integers.

copy(int[], float[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N float elements from an array of floats into array of integers.

copy(int[], float[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all float elements from an array of floats into array of integers.

copy(short[], int, float[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N float elements from an array of floats into array of shorts.

copy(short[], float[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N float elements from an array of floats into array of shorts.

copy(short[], float[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all float elements from an array of floats into array of shorts.

copy(long[], int, float[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N float elements from an array of floats into array of longs.

copy(long[], float[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N float elements from an array of floats into array of longs.

copy(long[], float[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all float elements from an array of floats into array of longs.

copy(double[], int, float[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N float elements from an array of floats into array of doubles.

copy(double[], float[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N float elements from an array of floats into array of doubles.

copy(double[], float[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all float elements from an array of floats into array of doubles.

copy(double[], int, short[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N short elements from an array of shorts into array of doubles.

copy(double[], short[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N short elements from an array of shorts into array of doubles.

copy(double[], short[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all short elements from an array of shorts into array of doubles.

copy(char[], int, short[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N short elements from an array of shorts into array of characters.

copy(char[], short[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N short elements from an array of shorts into array of characters.

copy(char[], short[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all short elements from an array of shorts into array of characters.

copy(byte[], int, short[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N short elements from an array of shorts into array of bytes.

copy(byte[], short[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N short elements from an array of shorts into array of bytes.

copy(byte[], short[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all short elements from an array of shorts into array of bytes.

copy(int[], int, short[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N short elements from an array of shorts into array of integers.

copy(int[], short[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N short elements from an array of shorts into array of integers.

copy(int[], short[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all short elements from an array of shorts into array of integers.

copy(float[], int, short[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N short elements from an array of shorts into array of floats.

copy(float[], short[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N short elements from an array of shorts into array of floats.

copy(float[], short[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all short elements from an array of shorts into array of floats.

copy(long[], int, short[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N short elements from an array of shorts into array of longs.

copy(long[], short[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N short elements from an array of shorts into array of longs.

copy(long[], short[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all short elements from an array of shorts into array of longs.

copy(long[], int, byte[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N byte elements from an array of bytes into array of longs.

copy(long[], byte[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N byte elements from an array of bytes into array of longs.

copy(long[], byte[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all byte elements from an array of bytes into array of longs.

copy(double[], int, byte[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N byte elements from an array of bytes into array of doubles.

copy(double[], byte[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N byte elements from an array of bytes into array of doubles.

copy(double[], byte[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all byte elements from an array of bytes into array of doubles.

copy(short[], int, byte[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N byte elements from an array of bytes into array of shorts.

copy(short[], byte[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N byte elements from an array of bytes into array of shorts.

copy(short[], byte[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all byte elements from an array of bytes into array of shorts.

copy(float[], int, byte[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N byte elements from an array of bytes into array of floats.

copy(float[], byte[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N byte elements from an array of bytes into array of floats.

copy(float[], byte[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all byte elements from an array of bytes into array of floats.

copy(char[], int, byte[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N byte elements from an array of bytes into array of characters.

copy(char[], byte[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N byte elements from an array of bytes into array of characters.

copy(char[], byte[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all byte elements from an array of bytes into array of bytes.

copy(int[], int, byte[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N byte elements from an array of bytes into array of integers.

copy(int[], byte[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N byte elements from an array of bytes into array of integers.

copy(int[], byte[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all byte elements from an array of bytes into array of integers.

copy(int[], int, char[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N character elements from an array of characters into array of integers.

copy(int[], char[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N character elements from an array of characters into array of integers.

copy(int[], char[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all character elements from an array of characters into array of integers.

copy(byte[], int, char[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N character elements from an array of characters into array of bytes.

copy(byte[], char[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N character elements from an array of characters into array of bytes.

copy(byte[], char[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all character elements from an array of characters into array of bytes.

copy(short[], int, char[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N character elements from an array of characters into array of shorts.

copy(short[], char[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N character elements from an array of characters into array of shorts.

copy(short[], char[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all character elements from an array of characters into array of shorts.

copy(long[], int, char[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N character elements from an array of characters into array of longs.

copy(long[], char[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N character elements from an array of characters into array of longs.

copy(long[], char[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all character elements from an array of characters into array of longs.

copy(float[], int, char[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N character elements from an array of characters into array of floats.

copy(float[], char[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N character elements from an array of characters into array of floats.

copy(float[], char[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all character elements from an array of characters into array of floats.

copy(double[], int, char[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N character elements from an array of characters into array of doubles.

copy(double[], char[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N character elements from an array of characters into array of doubles.

copy(double[], char[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all character elements from an array of characters into array of doubles.

copy(String[], int, int[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N int elements from an array of ints into array of Strings.

copy(String[], int[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N int elements from an array of ints into array of Strings.

copy(String[], int[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all int elements from an array of ints into array of Strings.

copy(String[], int, char[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N char elements from an array of chars into array of Strings.

copy(String[], char[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N char elements from an array of chars into array of Strings.

copy(String[], char[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all char elements from an array of chars into array of Strings.

copy(String[], int, byte[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N byte elements from an array of bytes into array of Strings.

copy(String[], byte[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N byte elements from an array of bytes into array of Strings.

copy(String[], byte[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all byte elements from an array of ints into array of Strings.

copy(String[], int, short[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N short elements from an array of shorts into array of Strings.

copy(String[], short[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N short elements from an array of shorts into array of Strings.

copy(String[], short[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all short elements from an array of shorts into array of Strings.

copy(String[], int, long[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N long elements from an array of longs into array of Strings.

copy(String[], long[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N long elements from an array of longs into array of Strings.

copy(String[], long[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all long elements from an array of longs into array of Strings.

copy(String[], int, float[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N float elements from an array of floats into array of Strings.

copy(String[], float[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N float elements from an array of floats into array of Strings.

copy(String[], float[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all float elements from an array of floats into array of Strings.

copy(String[], int, double[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N double elements from an array of doubles into array of Strings.

copy(String[], double[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N double elements from an array of doubles into array of Strings.

copy(String[], double[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all double elements from an array of doubles into array of Strings.

copy(double[], int, String[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N String elements from an array of Strings into array of doubles.

copy(double[], String[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N String elements from an array of Strings into array of doubles.

copy(double[], String[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all String elements from an array of Strings into array of doubles.

copy(float[], int, String[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N String elements from an array of Strings into array of floats.

copy(float[], String[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N String elements from an array of Strings into array of floats.

copy(float[], String[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all String elements from an array of Strings into array of floats.

copy(long[], int, String[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N String elements from an array of Strings into array of longs.

copy(long[], String[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N String elements from an array of Strings into array of longs.

copy(long[], String[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all String elements from an array of Strings into array of longs.

copy(int[], int, String[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N String elements from an array of Strings into array of integers.

copy(int[], String[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N String elements from an array of Strings into array of integers.

copy(int[], String[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all String elements from an array of Strings into array of integers.

copy(short[], int, String[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N String elements from an array of Strings into array of shorts.

copy(short[], String[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N String elements from an array of Strings into array of shorts.

copy(short[], String[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all String elements from an array of Strings into array of shorts.

copy(byte[], int, String[], int, int) - Static method in class marf.util.Arrays

General copy-conversion method that copies N String elements from an array of Strings into array of bytes.

copy(byte[], String[], int) - Static method in class marf.util.Arrays

Copy-conversion method that copies N String elements from an array of Strings into array of bytes.

copy(byte[], String[]) - Static method in class marf.util.Arrays

Copy-conversion method that copies all String elements from an array of Strings into array of bytes.

create(String) - Method in class marf.nlp.Parsing.SymbolTable

Creates child symbol table with a given name.

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

A general routine that allows arbitrary cropping of a matrix.

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().

cropAudio(double, double) - Method in interface marf.Preprocessing.IPreprocessing

Derivatives implement this method to crop arbitrary part of the audio sample.

cropAudio(double, double) - Method in class marf.Preprocessing.Preprocessing

Derivatives implement this method to crop arbitrary part of the audio sample.

CURLY_CL - Static variable in class marf.nlp.Parsing.TokenSubType

CURLY_OP - Static variable in class marf.nlp.Parsing.TokenSubType

CurrentErrorCode - Variable in exception marf.nlp.Parsing.CompilerError

Error code of the last error occured.

CurrentErrorString - Variable in exception marf.nlp.Parsing.CompilerError

A descriptive message correspoding to a given error code.

CUSTOM - Static variable in exception marf.nlp.Parsing.LexicalError

Custom error message as alterbntive to 'unknown'.

CUSTOM - Static variable in exception marf.nlp.Parsing.SemanticError

Custom error message as alternative to 'unknown'.

CUSTOM - Static variable in exception 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 column from it.

cutRow(int) - Method in class marf.math.Matrix

Cuts a specified row away from the matrix.

D

data - Variable in class marf.gui.Spectrogram

The data vector.

Database - Class in marf.Storage

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 in marf.util

Debugging Facility.

Debug() - Constructor for class marf.util.Debug

Needed for logger.

debug(String, boolean) - Static method in class marf.util.Debug

Issues a debug message if the flag is on.

debug(String) - Static method in class marf.util.Debug

Issues a debug message if the flag is on with a trailing EOL.

debug(Object) - Static method in class marf.util.Debug

Issues a debug message if the flag is on with a trailing EOL by calling toString() of the parameter.

debug(Class, String) - Static method in class marf.util.Debug

Issues a debug message if the flag is on with a trailing EOL.

debug() - Static method in class marf.util.Debug

Issues an empty debug message if the flag is on with a trailing EOL.

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_ERROR_DELTA - Static variable in class marf.math.Matrix

Default precision delta to compute nearly-identity matrices or other error-based calculations.

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_GRAMMAR_FILE - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer

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 vector's length is 3 elements.

DEFAULT_WINDOW_LENGTH - Static variable in class marf.FeatureExtraction.LPC.LPC

Default window length of 128 elements.

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 in marf.Classification.Distance

Diff-Distance Classifier.

DiffDistance(IFeatureExtraction) - 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(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 - Class in marf.Classification.Distance

Abstract Distance Classifier.

Distance(IFeatureExtraction) - Constructor for class marf.Classification.Distance.Distance

Distance Constructor.

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_FACTOR - Static variable in class marf.Classification.Distance.DiffDistance

Default distance factor to add to the difference to make the subject more distant.

divide(Matrix, double) - Static method in class marf.math.Matrix

M = M / d.

divide(double) - Method in class marf.math.Matrix

this = this / 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 - Static variable in class marf.MARF

Indicates to use Dummy preprocessing module (just normalization).

Dummy - Class in marf.Preprocessing.Dummy

Implements dummy preprocessing module for testing purposes that does only 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() - 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.RandomClassification.RandomClassification

Dumps "training set" of IDs.

dump() - Method in class marf.Classification.Stochastic.Stochastic

Not Implemented.

dump() - Method in class marf.gui.Spectrogram

Dumps spectrogram.

dump() - Method in class marf.gui.WaveGrapher

Dumps graph of wave in the CSV format.

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_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.

dumpAll() - Method in class marf.Classification.Stochastic.ZipfLaw

Dumps results to STDOUT.

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

Allows dumping the contents of the table in the CSV format.

dumpCSV() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

Not implemented.

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(String) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

Dumps Neural Network as XML file.

dumpXML() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

Not implemented.

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.

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

Allows to retrieve the object from a multidimensional matrix.

ELSE - Static variable in class marf.nlp.Parsing.TokenSubType

enableDebug(boolean) - Static method in class marf.util.Debug

Enables or disables debugging based on the paramter.

enableDebug() - Static method in class marf.util.Debug

Enables debugging.

enableDumpOnNotFound(boolean) - Method in class marf.Storage.StorageManager

Enables or disables creation of a file if it does not exist.

enableTimestamp(boolean) - Method in class marf.util.Logger

Enables or disables timestamps.

ENDPOINT - Static variable in class marf.MARF

Indicates to use endpointing.

Endpoint - Class in marf.Preprocessing.Endpoint

Class Endpoint.

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(Matrix) - Method in class marf.math.Matrix

this == M.

equals(Matrix, Matrix) - Static method in class marf.math.Matrix

M1 == M2.

equals(boolean[], boolean[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(byte[], byte[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(char[], char[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(double[], double[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(float[], float[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(int[], int[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(long[], long[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(Object[], Object[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

equals(short[], short[]) - Static method in class marf.util.Arrays

The equals() routine is based on java.util.Arrays.equals().

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 in marf.Classification.Distance

Class EuclideanDistance.

EuclideanDistance(IFeatureExtraction) - 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 in marf.util

Provides some useful extensions to java.lang.ThreadGroup one would normally expect to be in a "group".

ExpandedThreadGroup(ThreadGroup, String) - Constructor for class marf.util.ExpandedThreadGroup

ThreadGroup and name constructor inherited from the parent.

ExpandedThreadGroup(String) - Constructor for class marf.util.ExpandedThreadGroup

Mimics parent's constructor.

ExpandedThreadGroup(ExpandedThreadGroup, String) - Constructor for class marf.util.ExpandedThreadGroup

Mimics parent's constructor.

EXPR_TYPE_MISMATCH - Static variable in exception marf.nlp.Parsing.SemanticError

Type mismatch in an expression.

extend(Matrix) - Method in class marf.math.Matrix

Extends this matrix by another (by glueing two matrices together) assuming the extension direction of Direction.EAST.

extend(Matrix, Matrix.Direction) - Method in class marf.math.Matrix

Extends this matrix by another (by glueing two matrices together) given the extension direction.

EXTRA_CLOSING_COMMENT - Static variable in exception marf.nlp.Parsing.LexicalError

Mismatched comment.

extractFeatures() - Method in class marf.FeatureExtraction.Cepstral.Cepstral

Not Implemented.

extractFeatures() - Method in class marf.FeatureExtraction.F0.F0

Not Implemented.

extractFeatures() - Method in class marf.FeatureExtraction.FFT.FFT

FFT Implementation of extractFeatures().

extractFeatures() - Method in interface marf.FeatureExtraction.IFeatureExtraction

Abstract feature extraction routine.

extractFeatures() - Method in class marf.FeatureExtraction.LPC.LPC

LPC Implementation of extractFeatures().

extractFeatures() - Method in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes

MinMaxAmplitudes implementation of extractFeatures().

extractFeatures() - Method in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction

Random Gaussian-based feature extracton.

extractFeatures() - Method in class marf.FeatureExtraction.Segmentation.Segmentation

Not Implemented.

F

F0 - Class in marf.FeatureExtraction.F0

Class F0 - the Fundamental Frequency Extraction.

F0(IPreprocessing) - Constructor for class marf.FeatureExtraction.F0.F0

F0 Constructor.

F0 - Static variable in class marf.MARF

Indicates to use F0.

FaultingToken - Variable in exception marf.nlp.Parsing.LexicalError

Token information at which Lexer encountered the error.

FaultingToken - Variable in exception marf.nlp.Parsing.SemanticError

Token information at which Lexer encountered the error.

FaultingToken - Variable in exception marf.nlp.Parsing.SyntaxError

Token information at which Parser encountered the error.

FEATURE_EXTRACTION_PLUGIN - Static variable in class marf.MARF

Indicates to employ user-defined feature extraction plugin.

FeatureExtraction - Class in marf.FeatureExtraction

Generic Feature Extraction Module.

FeatureExtraction(IPreprocessing) - Constructor for class marf.FeatureExtraction.FeatureExtraction

Main FeatureExtraction constructor.

FeatureExtractionException - Exception in marf.FeatureExtraction

Class FeatureExtractionException.

FeatureExtractionException(Exception) - Constructor for exception marf.FeatureExtraction.FeatureExtractionException

Encapsulation of another Exception object.

FeatureExtractionException(String, Exception) - Constructor for exception marf.FeatureExtraction.FeatureExtractionException

Encapsulation of another Exception object and a new message.

FeatureExtractionException(String) - Constructor for exception marf.FeatureExtraction.FeatureExtractionException

Generic exception.

FeatureSet - Class in marf.Storage

FeatureSet -- Encapsulates Subject ID and subject's "feature" sets.

FeatureSet() - Constructor for class marf.Storage.FeatureSet

Construct a training set object.

FFT - Class in marf.FeatureExtraction.FFT

Class FFT implements Fast Fourier Transform.

FFT(IPreprocessing) - Constructor for class marf.FeatureExtraction.FFT.FFT

FFT Constructor.

FFT - Static variable in class marf.MARF

Indicates to use FFT.

FFTFilter - Class in marf.Preprocessing.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.

fill(boolean[], boolean) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(boolean[], int, int, boolean) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(byte[], byte) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(byte[], int, int, byte) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(char[], char) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(char[], int, int, char) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(double[], double) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(double[], int, int, double) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(float[], float) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(float[], int, int, float) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(int[], int) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(int[], int, int, int) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(long[], int, int, long) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(long[], long) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(Object[], int, int, Object) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(Object[], Object) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(short[], int, int, short) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

fill(short[], short) - Static method in class marf.util.Arrays

The fill() is based on java.util.Arrays.fill().

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 in marf.util

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(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.

FreeVector(Collection) - Constructor for class marf.util.FreeVector

Constructs this vector out of a collection.

FrequencyComparator - Class in marf.util.comparators

Compare WordStats objects by their frequency when sorting.

FrequencyComparator(int) - Constructor for class marf.util.comparators.FrequencyComparator

Constructs a frequency comparator with the specified sort mode.

FuncSymTabEntry - Class in marf.nlp.Parsing

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 exception 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 in marf.nlp.Parsing

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

Retrieves current number of dimensions of the 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

Retrieves number of the columns in this matrix.

getConfig() - Static method in class marf.MARF

Returns a string representation of the current MARF configuration.

getCrossProduct(Vector, Vector) - Static method in class marf.math.Vector

Calculates the cross product of two vectors, V3 = V1 x V2.

getCurrentErrorCode() - Method in exception marf.nlp.Parsing.CompilerError

Access method for the CurrentErrorCode property.

getCurrentErrorString() - Method in exception 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 using Laplace's formula.

getDimention(int) - Method in class marf.util.Matrix

Retrieves a particular dimension value.

getDirection() - Method in class marf.math.Matrix.Direction

Retrieves curret direction.

getDotProduct(Vector, Vector) - Static method in class marf.math.Vector

Calculates the dot product of two vectors, d = V1 * V2.

getDoubleVersion() - Static method in class marf.MARF

Retrieves double version of MARF.

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, int) - Method in class marf.math.Matrix

Retrieves matrix element's value given row and column.

getElement(int) - Method in class marf.math.Vector

Allows getting the value of vector's element at specified position.

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.

getFeaturesArray() - Method in interface marf.FeatureExtraction.IFeatureExtraction

Allows retrieval of the features.

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

Retrieves the object's frequency.

getGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler

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.

getGrammarElement(String) - Method in class marf.nlp.Parsing.TransitionTable

Gets grammar element by its name (lexeme).

getGrammarFileName() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler

getHeight() - Method in class marf.gui.util.SmartSizablePanel

getID() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement

getID() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule

getID() - Method in class marf.nlp.Parsing.SymTabEntry

getID() - Method in class marf.Storage.Result

Returns result's ID.

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) - Static method in class marf.math.Vector

Calculates an inner product of two vectors, V3 = V1 * V2.

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

Retrieves current language.

getLanguage() - Static method in class marf.MARF.NLP

Retrieves current language being processed.

getLanguage() - Method in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Retrieves current language.

getLanguage() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

getLength() - Method in class marf.math.Vector

Retrieves the mathematical length of the vector.

getLexeme() - Method in class marf.nlp.Parsing.Token

Access method for the Lexeme property.

getLexeme() - Method in class marf.Stats.WordStats

Retrieves the lexeme of the object.

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 exception 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.

getLogDirection() - Method in class marf.util.Logger

getLogFilename() - Method in class marf.util.Logger

getLogPrintStream() - Method in class marf.util.Logger

Returns references to the internal log stream.

getLowerBound() - Method in class marf.gui.util.ColoredStatusPanel

getMARFSourceCodeRevision() - Static method in class marf.Classification.Classification

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in exception marf.Classification.ClassificationException

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Distance.ChebyshevDistance

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Distance.DiffDistance

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Distance.Distance

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Distance.EuclideanDistance

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Distance.MahalanobisDistance

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Distance.MinkowskiDistance

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Markov.Markov

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.NeuralNetwork.Layer

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.NeuralNetwork.NeuralNetwork

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.NeuralNetwork.Neuron

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.RandomClassification.RandomClassification

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Stochastic.MaxProbabilityClassifier

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Stochastic.Stochastic

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Classification.Stochastic.ZipfLaw

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.Cepstral.Cepstral

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.F0.F0

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.FeatureExtraction

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in exception marf.FeatureExtraction.FeatureExtractionException

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.FFT.FFT

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.LPC.LPC

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.FeatureExtraction.Segmentation.Segmentation

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.gui.Spectrogram

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.gui.SpectrogramPanel

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.gui.util.BorderPanel

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.gui.util.ColoredStatusPanel

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.gui.util.SmartSizablePanel

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.gui.WaveGrapher

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.gui.WaveGrapherPanel

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.MARF

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.math.Algorithms

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in exception marf.math.MathException

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.math.Matrix

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.math.Vector

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Collocations.ChiSquareTest

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Collocations.CollocationWindow

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Collocations.TTest

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.ClassSymTabEntry

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.CodeGenerator

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.Compiler

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in exception marf.nlp.Parsing.CompilerError

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.FuncSymTabEntry

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GenericLexicalAnalyzer

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.Grammar

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.Rule

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.SemanticToken

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.GrammarCompiler.Terminal

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.LexicalAnalyzer

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in exception marf.nlp.Parsing.LexicalError

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.Parser

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.ProbabilisticParser

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.SemanticAnalyzer

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in exception marf.nlp.Parsing.SemanticError

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.SymbolTable

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.SymDataType

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.SymTabEntry

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in exception marf.nlp.Parsing.SyntaxError

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.Token

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.TokenSubType

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.TokenType

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.TransitionTable

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Parsing.VarSymTabEntry

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Stemming.Stemming

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.Stemming.StemmingEN

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.nlp.util.NLPStreamTokenizer

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.Dummy.Dummy

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.Dummy.Raw

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.Endpoint.Endpoint

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.FFTFilter.BandpassFilter

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.FFTFilter.FFTFilter

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.FFTFilter.HighPassFilter

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.FFTFilter.LowPassFilter

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Preprocessing.Preprocessing

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in exception marf.Preprocessing.PreprocessingException

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.Ngram

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.Observation

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.ProbabilityTable

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.GLI

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.KatzBackoff

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.MLE

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.SLI

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.AddOne

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.Smoothing

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.Smoothing.WittenBell

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatisticalObject

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.StatsCollector

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Stats.WordStats

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Cluster

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Database

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.FeatureSet

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.AIFFCLoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.AIFFLoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.AULoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.MIDILoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.MP3Loader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.SineLoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.SNDLoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.ULAWLoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Loaders.WAVLoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.MARFAudioFileFormat

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.ModuleParams

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Result

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.ResultSet

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.Sample

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.Storage.SampleLoader

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in exception marf.Storage.StorageException

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.StorageManager

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.TrainingSample

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.Storage.TrainingSet

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.Arrays

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.BaseThread

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.util.ByteUtils

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.comparators.FrequencyComparator

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.comparators.RankComparator

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.comparators.ResultComparator

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.Debug

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.util.ExpandedThreadGroup

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.util.FreeVector

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in exception marf.util.InvalidSampleFormatException

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.Logger

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in exception marf.util.MARFException

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.Matrix

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in exception marf.util.NotImplementedException

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class marf.util.OptionProcessor

Retrieves class' revision.

getMARFSourceCodeRevision() - Static method in class marf.util.SortComparator

Returns source code revision information.

getMARFSourceCodeRevision() - Static method in class test

Returns source code revision information.

getMatrix2D() - Method in class marf.math.Matrix

Returns internal matrix representation as 2-dimensional array of doubles.

getMatrixArray() - Method in class marf.math.Matrix

Allows getting internal array represeting the matrix data.

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 exception 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.Parsing.GenericLexicalAnalyzer

Core method of the LexicalAnalyzer.

getNextToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer

Returns Next GrammarToken.

getNextToken() - Method in class marf.nlp.Parsing.LexicalAnalyzer

Core method of the C+- LexicalAnalyzer.

getNextToken() - Method in class marf.nlp.util.NLPStreamTokenizer

Returns a next token from the NLP stream.

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

Allows getting an occurence given the x coordinate.

getOccurence(int, int) - Method in class marf.Stats.ProbabilityTable

Allows getting an occurence given x and y coordinates.

getOccurence(int, int, int) - Method in class marf.Stats.ProbabilityTable

Allows getting an occurence given x, y, and z coordinates.

getOccurence(Vector) - Method in class marf.Stats.ProbabilityTable

Allows getting the occurence of a list of observations.

getOption(String) - Method in class marf.util.OptionProcessor

Returns numerical equivalent of an option string.

getOption(String, boolean) - Method in class marf.util.OptionProcessor

Returns numerical equivalent of an option string.

getOption(int) - Method in class marf.util.OptionProcessor

Returns string equivalent of a numerical option.

getOption(int, boolean) - Method in class marf.util.OptionProcessor

Returns string equivalent of a numerical option.

getOptionArgument(String) - Method in class marf.util.OptionProcessor

Allows querying for option argument by option name.

getOptionArgument(String, boolean) - Method in class marf.util.OptionProcessor

Allows querying for option argument by option name.

getOptionArgument(int) - Method in class marf.util.OptionProcessor

Allows querying for option argument by option number.

getOptionArgument(int, boolean) - Method in class marf.util.OptionProcessor

Allows querying for option argument by option number.

getOptionArgument() - Method in class marf.util.OptionProcessor.Option

Retrieves the option argument string.

getOptionEnumeration() - Method in class marf.util.OptionProcessor.Option

Retrieves the option number.

getOptionName() - Method in class marf.util.OptionProcessor.Option

Rerieves the option name.

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 interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Retrieves current ProbabilityTable.

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

Restrieves the object's rank.

getRes() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork

Gets outputs of a neural network run.

getResult() - Method in class marf.Classification.Distance.Distance

Retrieves the minimum-distance classification result.

getResult() - Method in interface marf.Classification.IClassification

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.RandomClassification.RandomClassification

Retrieves the classification result.

getResult() - Method in class marf.Classification.Stochastic.Stochastic

Retrieves the maximum-probability classification result.

getResult() - Static method in class marf.MARF

Gets the entire Result object of the likely outcome.

getResultSet() - Method in class marf.Classification.Classification

Retrieves the enclosed result set.

getResultSet() - Method in interface marf.Classification.IClassification

Retrieves the enclosed result set.

getResultSet() - Static method in class marf.MARF

Gets the entire collection of results.

getResultSetVector() - Method in class marf.Storage.ResultSet

Retrieves the underlying unsorted result collection.

getRetValDataType() - Method in class marf.nlp.Parsing.FuncSymTabEntry

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

Retrieves number of the rows in this matrix.

getRule(String, int) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar

getRule(int, int, 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 interface marf.Preprocessing.IPreprocessing

Returns enclosed sample.

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.Loaders.SineLoader

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).

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

Retrievs the size of the N-gram.

getSmoothingMethod() - Static method in class marf.MARF.NLP

Retrieves current smoothing method.

getSortMode() - Method in class marf.util.SortComparator

Retrieves the current sorting mode.

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 interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Retrieves current StreamTokenizer.

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.

getTarget() - Method in class marf.util.BaseThread

Retrieves the thread's target.

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

Returns a unit-vector representation of this vector.

getUpperBound() - Method in class marf.gui.util.ColoredStatusPanel

getValidOptions() - Method in class marf.util.OptionProcessor

Allows querying for the set of active options.

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 - Static variable in interface marf.MARF.IStatisticalEstimators

Indicates to use GLI estimator/smoothing.

GLI - Class in marf.Stats.StatisticalEstimators

GLI Statistical Estimator.

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 in marf.Stats.StatisticalEstimators.Smoothing

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 in marf.nlp.Parsing.GrammarCompiler

Grammar.

Grammar() - Constructor for class marf.nlp.Parsing.GrammarCompiler.Grammar

Default constructor.

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 - '|'.

GrammarAnalyzer - Class in marf.nlp.Parsing.GrammarCompiler

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 in marf.nlp.Parsing.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 in marf.nlp.Parsing.GrammarCompiler

Generic GrammarToken.

GrammarElement(Token, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarElement

Preferred Constructor.

GrammarElement(String, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarElement

GrammarFileName - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler

Source grammar filename.

GrammarTokenType - Class in marf.nlp.Parsing.GrammarCompiler

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(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.

hamming(double[]) - Static method in class marf.math.Algorithms.Hamming

Applies hamming window to an array of doubles.

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 in marf.Preprocessing.FFTFilter

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 in marf.Preprocessing.FFTFilter

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() - Static method in class marf.math.Vector

Creates a unit-vector "i".

iArrayIndex - Variable in class marf.Storage.Sample

Chunk pointer in the sample array.

IClassification - Interface in marf.Classification

Classification Interface.

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.

iCurrentStatus - Variable in class marf.gui.util.ColoredStatusPanel

Should be between lower and upper bounds.

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.

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.

IDatabase - Interface in marf.Storage

Subject database interface.

IF - Static variable in class marf.nlp.Parsing.TokenSubType

IFeatureExtraction - Interface in marf.FeatureExtraction

Feature Extraction Interface.

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.

iHeight - Variable in class marf.gui.util.SmartSizablePanel

iID - Variable in class marf.Storage.Result

Identified subject's ID.

iLogDirection - Variable in class marf.util.Logger

Indicates where the log should go.

iLowerBound - Variable in class marf.gui.util.ColoredStatusPanel

Lower bound.

incFrequency(Vector) - Method in class marf.Stats.ProbabilityTable

Increments the frequency of occurences of a list of observations.

incFrequency() - Method in class marf.Stats.StatisticalObject

Increments the object frequency by one.

incMeanCount() - Method in class marf.Storage.Cluster

Increases mean count by one.

incRank() - Method in class marf.Stats.StatisticalObject

Increments rank of the object by one.

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(StatisticalEstimator) - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier

Initializes the classifier with all member variables.

init() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer

Initialization routine.

init() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer

init() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer

init() - Method in class marf.nlp.Parsing.LexicalAnalyzer

Initialization routine.

init(int, int) - Method in class marf.nlp.Parsing.TransitionTable

This is a standard attempt to initilaize.

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.

intToByteArray(int, boolean) - Static method in class marf.util.ByteUtils

Converts an int value to a byte array.

INVALID_CHAR - Static variable in exception marf.nlp.Parsing.LexicalError

Character encountered is not part of the C+-'s alphabet.

INVALID_NUMBER_FORMAT - Static variable in exception marf.nlp.Parsing.LexicalError

Invalid number format.

InvalidSampleFormatException - Exception in marf.util

Class InvalidSampleFormatException.

InvalidSampleFormatException(int) - Constructor for exception marf.util.InvalidSampleFormatException

Exception for specific sample format.

InvalidSampleFormatException(String) - Constructor for exception marf.util.InvalidSampleFormatException

Generic exception.

inverse() - Method in class marf.math.Matrix

Matrix inversion.

iOptionEnum - Variable in class marf.util.OptionProcessor.Option

Internal container for integer equivalent; default is UNDEF.

IPreprocessing - Interface in marf.Preprocessing

Preprocessing Interface.

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

Default push backup level of 2.

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(String) - Method in class marf.util.OptionProcessor

Checks whether supplied string option is active.

isActiveOption(int) - Method in class marf.util.OptionProcessor

Checks whether supplied integer option is active.

ISampleLoader - Interface in marf.Storage

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.

isInvalidOption(String) - Method in class marf.util.OptionProcessor

Checks whether supplied string option is invalid.

ISmoothing - Interface in marf.Stats.StatisticalEstimators.Smoothing

Generic Smoothing Interface.

isMultiplyDefined() - Method in class marf.nlp.Parsing.SymTabEntry

isNearlyIdentity(double) - Method in class marf.math.Matrix

Tests nearly-identity matrices with the default delta.

isNearlyIdentity() - Method in class marf.math.Matrix

Tests nearly-identity matrices with the default delta.

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

Tells whether this and the parameter vectors are orthogonal or not.

iSortMode - Variable in class marf.Storage.ResultSet

Used to remember in which direction sorting was performed, so some methods can work correctly.

iSortMode - Variable in class marf.util.SortComparator

Current sorting mode: either ASCENDING or DESCENDING.

isPopRecoveryAction() - Method in exception marf.nlp.Parsing.SyntaxError

isReduced() - Method in class marf.math.Matrix

Allows examine if this matrix was row-reduced already.

isScanRecoveryAction() - Method in exception marf.nlp.Parsing.SyntaxError

IStatisticalEstimator - Interface in marf.Stats.StatisticalEstimators

Implements generic Statistical Estimator routines.

IStemming - Interface in marf.nlp.Stemming

General Stemming Interface.

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

isTimestampEnabled() - Method in class marf.util.Logger

Verifies if the timestamps are enabled.

isToken(Token) - Method in class marf.nlp.Parsing.GrammarCompiler.Terminal

IStorageManager - Interface in marf.Storage

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.

isValidOption(String) - Method in class marf.util.OptionProcessor

Checks whether supplied string option is valid.

isValidOption(int) - Method in class marf.util.OptionProcessor

Checks whether supplied integer option is valid.

iTID - Variable in class marf.util.BaseThread

Our Thread ID.

iUpperBound - Variable in class marf.gui.util.ColoredStatusPanel

Upper bound.

iWidth - Variable in class marf.gui.util.SmartSizablePanel

iX - Variable in class marf.gui.util.SmartSizablePanel

iY - Variable in class marf.gui.util.SmartSizablePanel

J

j() - Static method in class marf.math.Vector

Creates a unit-vector "j".

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() - Static method in class marf.math.Vector

Creates a unit-vector "k".

KATZ_BACKOFF - Static variable in interface marf.MARF.IStatisticalEstimators

Indicates to use Katz Backoff estimator/smoothing.

KatzBackoff - Class in marf.Stats.StatisticalEstimators

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 in marf.Classification.NeuralNetwork

Represents a Neural Network Layer.

Layer() - Constructor for class marf.Classification.NeuralNetwork.Layer

Default constructor.

LEADING_ZEROS - Static variable in exception 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 in marf.nlp.Parsing

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 in marf.nlp.Parsing

This class denotes LexicalError type.

LexicalError(int, Token) - Constructor for exception marf.nlp.Parsing.LexicalError

Constructor 1.

LexicalError(Token, String) - Constructor for exception 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 exception marf.nlp.Parsing.CompilerError

Line number where the given error occurred.

loadRow(int, Vector) - Method in class marf.math.Matrix

Alows loading a row of a matrix with values from a vector.

loadSample(File) - Method in interface marf.Storage.ISampleLoader

Prime SampleLoader interface.

loadSample(String) - Method in interface marf.Storage.ISampleLoader

Same as loadSample(File) but takes filename as an argument.

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(String) - Method in class marf.Storage.Loaders.SineLoader

Merely calls readAudioData().

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 class marf.Storage.SampleLoader

Same as loadSample(File) but takes filename as an argument.

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_STDERR_TO_FILE - Static variable in class marf.util.Logger

Indicates to redirect STDERR to a file.

LOG_STDOUT_STDERR_TO_FILE - Static variable in class marf.util.Logger

Indicates to redirect STDOUT and STDERR to a file.

LOG_STDOUT_TO_FILE - Static variable in class marf.util.Logger

Indicates to redirect STDOUT to a file.

LOG_TO_FILE_STDOUT_STDERR - Static variable in class marf.util.Logger

Indicates to emit messages to three destinations: a file, STDOUT, and STDERR.

Logger - Class in marf.util

MARF Runnable Logging Facility.

Logger(String) - Constructor for class marf.util.Logger

Takes the log filename and sets the direction to log to the file, STDERR, and STDOUT.

Logger(String, int) - Constructor for class marf.util.Logger

Creates a logger with output filename and desired direction.

Logger(String, int, boolean) - Constructor for class marf.util.Logger

Creates a logger with output filename, desired direction, and possibly a timestamp.

Logger.LogPrintStream - Class in marf.util

Our own LogPrintStream for log delivery.

Logger.LogPrintStream(String) - Constructor for class marf.util.Logger.LogPrintStream

Default output is to a file.

Logger.LogPrintStream(OutputStream) - Constructor for class marf.util.Logger.LogPrintStream

Defaults output to the stream specified in the parameter.

Logger.LogPrintStream(OutputStream, Logger.LogPrintStream) - Constructor for class marf.util.Logger.LogPrintStream

Sets the output to go to the two destionations of the first and second paramters.

LOW_PASS_FFT_FILTER - Static variable in class marf.MARF

Indicates to use low-pass FFT filter.

LowPassFilter - Class in marf.Preprocessing.FFTFilter

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 in marf.FeatureExtraction.LPC

Class LPC implements Linear Predictive Coding.

LPC(IPreprocessing) - Constructor for class marf.FeatureExtraction.LPC.LPC

LPC Constructor.

LPC - Static variable in class marf.MARF

Indicates to use LPC.

M

MAHALANOBIS_DISTANCE - Static variable in class marf.MARF

Indicates to use Mahalanobis distance for classification.

MahalanobisDistance - Class in marf.Classification.Distance

Mahalanobis Distance Classification Module.

MahalanobisDistance(IFeatureExtraction) - 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.

MAJOR_VERSION - Static variable in class marf.MARF

Indicates major MARF version, like 1.x.x.

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 in 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 in marf

Enumeration of N-gram Models.

MARF.IStatisticalEstimators - Interface in marf

Enumeration of Statistical Estimators.

marf.math - package marf.math

MARF.NLP - Class in marf

Class NLP is more related to the Natural Language Processing part of MARF.

MARF.NLP() - Constructor for class marf.MARF.NLP

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.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

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.Classification.IClassification

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.FeatureExtraction.IFeatureExtraction

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.nlp.Stemming.IStemming

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.Preprocessing.IPreprocessing

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.Stats.StatisticalEstimators.Smoothing.ISmoothing

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.Storage.IDatabase

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.Storage.ISampleLoader

Interface source code revision.

MARF_INTERFACE_CODE_REVISION - Static variable in interface marf.Storage.IStorageManager

Interface source code revision.

MARFAudioFileFormat - Class in marf.Storage

Supported MARF Audio File Formats.

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.

MARFAudioFileFormat.Type - Class in marf.Storage

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.

MARFException - Exception in marf.util

Class MARFException.

MARFException() - Constructor for exception marf.util.MARFException

Default MARF exception.

MARFException(String) - Constructor for exception marf.util.MARFException

Generic exception.

MARFException(String, Exception) - Constructor for exception marf.util.MARFException

This is used for debug purposes only with some unusual Exception's.

MARFException(Exception) - Constructor for exception marf.util.MARFException

Wraps Exception object around.

Markov - Class in marf.Classification.Markov

Hidden Markov Models-based Classification Module.

Markov(IFeatureExtraction) - Constructor for class marf.Classification.Markov.Markov

Markov Constructor.

MARKOV - Static variable in class marf.MARF

Indicates to use Hidden Markov Models for classification.

MathException - Exception in marf.math

Indicates exceptional situations in MARF's math.

MathException(Exception) - Constructor for exception marf.math.MathException

Encapsulation of another Exception object.

MathException(String, Exception) - Constructor for exception marf.math.MathException

Encapsulation of another Exception object and a new message.

MathException(String) - Constructor for exception marf.math.MathException

Generic exception.

Matrix - Class in marf.math

Math Matrix Operations.

Matrix() - Constructor for class marf.math.Matrix

Default constructor.

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.

Matrix(double[]) - Constructor for class marf.math.Matrix

This constructor makes up a vector.

Matrix(double[], boolean) - Constructor for class marf.math.Matrix

This constructor makes up a transposed vector.

Matrix(double[][]) - Constructor for class marf.math.Matrix

Constructs a 2D matrix from a 2D array.

Matrix - Class in marf.util

Free Matrix - a multidimensional extension of FreeVector.

Matrix(int) - Constructor for class marf.util.Matrix

Creates free matrix with certain cardinality.

Matrix(int[]) - Constructor for class marf.util.Matrix

Creates a free matrix with user-defined dimensions.

Matrix() - Constructor for class marf.util.Matrix

Creates an 1-by-1 matrix.

Matrix.Direction - Class in marf.math

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.

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 in marf.Classification.Stochastic

Maximum Probability Classification Module.

MaxProbabilityClassifier(StatisticalEstimator) - Constructor for class marf.Classification.Stochastic.MaxProbabilityClassifier

NLP constructor that takes directly a statistical estimator.

MaxProbabilityClassifier(IFeatureExtraction) - Constructor for class marf.Classification.Stochastic.MaxProbabilityClassifier

Implements Classification API.

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 in marf.Storage.Loaders

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 in marf.Classification.Distance

Class MinkowskiDistance.

MinkowskiDistance(IFeatureExtraction) - Constructor for class marf.Classification.Distance.MinkowskiDistance

MinkowskiDistance Constructor.

MinMaxAmplitudes - Class in marf.FeatureExtraction.MinMaxAmplitudes

Min/Max Amplitudes.

MinMaxAmplitudes(IPreprocessing) - Constructor for class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes

MinMaxAmplitudes Constructor.

MINOR_REVISION - Static variable in class marf.MARF

Indicates MARF minor development revision, like 1.1.1.1.

MINOR_VERSION - Static variable in class marf.MARF

Indicates minor MARF version, like 1.1.x.

minus(Matrix, Matrix) - Static method in class marf.math.Matrix

M3 = M1 - M2.

minus(Matrix) - Method in class marf.math.Matrix

this = this - M.

minusUnary(Matrix) - Static method in class marf.math.Matrix

M1 = -M.

MISMATCHED_PARENS - Static variable in exception marf.nlp.Parsing.SyntaxError

Mismatched Parenthesis Error.

MISSING_SEMICOLON - Static variable in exception marf.nlp.Parsing.SyntaxError

Untreminated statement or declaration.

MLE - Static variable in interface marf.MARF.IStatisticalEstimators

Indicates to use Maximum Likelyhood Estimate estimator/smoothing.

MLE - Class in marf.Stats.StatisticalEstimators

MLE Statistical Estimator.

MLE() - Constructor for class marf.Stats.StatisticalEstimators.MLE

ModuleParams - Class in marf.Storage

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 in marf.Storage.Loaders

Not Implemented.

MP3Loader() - Constructor for class marf.Storage.Loaders.MP3Loader

MP3 Loader Constructor.

MULT_DEF_SYM - Static variable in exception 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(Matrix) - Method in class marf.math.Matrix

M1 = this * M.

multiply(Matrix, Matrix) - Static method in class marf.math.Matrix

M3 = M1 * M2.

multiply(Matrix, Vector) - Static method in class marf.math.Matrix

V2 = M * V1.

multiply(Vector) - Method in class marf.math.Matrix

V1 = this * V.

multiply(Matrix, double) - Static method in class marf.math.Matrix

M = M * d.

multiply(double) - Method in class marf.math.Matrix

this = this * d.

multiply(double, Matrix) - Static method in class marf.math.Matrix

M = d * M.

N

name - Variable in class marf.Classification.NeuralNetwork.Neuron

Neuron's name.

Name - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarElement

A name of a token to refer to.

Name - Variable in class marf.nlp.Parsing.SymTabEntry

NEURAL_NETWORK - Static variable in class marf.MARF

Indicates to use Neural Network for classification.

NeuralNetwork - Class in marf.Classification.NeuralNetwork

Artificial Neural Network-based Classifier.

NeuralNetwork(IFeatureExtraction) - Constructor for class marf.Classification.NeuralNetwork.NeuralNetwork

NeuralNetwork Constructor.

Neuron - Class in marf.Classification.NeuralNetwork

Class Neuron -- a basic element of a neural network.

Neuron(String, int) - Constructor for class marf.Classification.NeuralNetwork.Neuron

Neuron's Constructor.

NGRAM - Static variable in interface marf.MARF.INgramModels

Indicates to use n-gram language model.

Ngram - Class in marf.Stats

N-gram Observation.

Ngram() - Constructor for class marf.Stats.Ngram

Constructs an unigram.

Ngram(int) - Constructor for class marf.Stats.Ngram

Constructs an N-gram of the specified size.

Ngram(Ngram[]) - Constructor for class marf.Stats.Ngram

Constructs an N-gram out of the N-gram elements.

NLPStreamTokenizer - Class in marf.nlp.util

NLP Stream Tokenizer.

NLPStreamTokenizer(Reader) - Constructor for class marf.nlp.util.NLPStreamTokenizer

NLP Stream Tokenizer based on a reader.

NO_PROGRAM - Static variable in exception marf.nlp.Parsing.SyntaxError

No "main()" program Error.

NonTerminal - Class in marf.nlp.Parsing.GrammarCompiler

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[], 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".

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".

normalize() - Method in class marf.math.Vector

Normalizes the vector's components by its length.

normalize() - Method in interface marf.Preprocessing.IPreprocessing

Normalization of entire incoming samples by amplitude.

normalize(int) - Method in interface marf.Preprocessing.IPreprocessing

Normalization of incoming samples by amplitude starting from certain index.

normalize(int, int) - Method in interface marf.Preprocessing.IPreprocessing

Normalization of incoming samples by amplitude between specified indexes.

normalize() - Method in class marf.Preprocessing.Preprocessing

Normalization of entire incoming samples by amplitude.

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.

normalize() - Method in class marf.Stats.ProbabilityTable

Not implemented.

NORTH - Static variable in class marf.math.Matrix.Direction

Indicates North direction.

NOT - Static variable in class marf.nlp.Parsing.TokenSubType

NotImplementedException - Exception in marf.util

This class extends RuntimeException for MARF unimplemented parts.

NotImplementedException() - Constructor for exception marf.util.NotImplementedException

Generic exception.

NotImplementedException(String) - Constructor for exception marf.util.NotImplementedException

Generic exception.

NotImplementedException(Object, String) - Constructor for exception marf.util.NotImplementedException

Generates Class.Method exception message.

NUM - Static variable in class marf.nlp.Parsing.TokenType

Numerical token type.

O

oActiveOptionsNumbers - Variable in class marf.util.OptionProcessor

A hash-table that contains active numerical options amp.

oActiveOptionsStrings - Variable in class marf.util.OptionProcessor

A hash-table that contains active string options map.

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 in marf.Stats

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.

oInvalidOptions - Variable in class marf.util.OptionProcessor

A vector that contains invalid options for error reporting.

OK - Static variable in exception marf.nlp.Parsing.CompilerError

Error code signifying "no error".

oLog - Variable in class marf.util.Logger

Underlying LogPrintStream for messages and files.

oLPS - Variable in class marf.util.Logger.LogPrintStream

Internal instance of log stream that might point to a file, STDOUT or STDERR.

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

oParentSymTab - Variable in class marf.nlp.Parsing.SymbolTable

Backward reference.

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 in marf.util

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.

OptionProcessor.Option - Class in marf.util

Main Option placeholder.

OptionProcessor.Option(int, String) - Constructor for class marf.util.OptionProcessor.Option

Vanilla integer/string option constructor.

OptionProcessor.Option(int, String, boolean) - Constructor for class marf.util.OptionProcessor.Option

Integer/string option constructor with required argument indication.

OptionProcessor.Option(int, String, String) - Constructor for class marf.util.OptionProcessor.Option

Integer/string option constructor with required argument.

OptionProcessor.OptionsHashtable - Class in marf.util

A hashtable designed for to hold options.

OptionProcessor.OptionsHashtable() - Constructor for class marf.util.OptionProcessor.OptionsHashtable

Merely calls the parent's constructor.

oPushBackup - Variable in class marf.nlp.util.NLPStreamTokenizer

A stack to push back tokens.

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.nlp.Parsing.GenericLexicalAnalyzer

oStreamTokenizer - Variable in class marf.Stats.StatisticalEstimators.StatisticalEstimator

oSymTabIndex - Static variable in class marf.nlp.Parsing.SymbolTable

Global Index 'pointing' to all SymbolTables to speedup search.

oTarget - Variable in class marf.util.BaseThread

Local references to the target, in case clients need it.

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.GrammarCompiler.GrammarAnalyzer

oTokenType - Variable in class marf.nlp.Parsing.Token

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

oValidOptionsNumbers - Variable in class marf.util.OptionProcessor

A hash-table that contains valid numerical options map.

oValidOptionsStrings - Variable in class marf.util.OptionProcessor

A hash-table that contains valid string options map.

oWaveGrapher - Variable in class marf.gui.WaveGrapherPanel

P

P(Observation, Observation) - Method in class marf.Stats.ProbabilityTable

Not implemented.

P(Observation, Vector) - Method in class marf.Stats.ProbabilityTable

Not implemented.

P(Vector) - Method in class marf.Stats.ProbabilityTable

Retrieves the probability of a list of observations as a number of occurences.

P(Ngram) - Method in class marf.Stats.StatisticalEstimators.GLI

p() - Method in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Classification.

P(Ngram) - Method in class marf.Stats.StatisticalEstimators.KatzBackoff

P(Observation) - Method in class marf.Stats.StatisticalEstimators.MLE

P(Vector) - Method in class marf.Stats.StatisticalEstimators.MLE

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() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

N-gram-based classification.

paint(Graphics) - Method in class marf.gui.util.ColoredStatusPanel

Draws this panel.

PARAM - Static variable in class marf.nlp.Parsing.VarSymTabEntry

Parameter variable.

PARAM_TYPE_MISMATCH - Static variable in exception 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

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.

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.

parseGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler

Parsing grammar.

Parser - Class in marf.nlp.Parsing

Generic Language Parser.

Parser(String[]) - Constructor for class marf.nlp.Parsing.Parser

Consrtuctor with arguments.

POP - Static variable in exception 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.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.

preprocess() - Method in interface marf.Preprocessing.IPreprocessing

Derivatives must implement this method to do general preprocessing and perhaps calling removeNoise() and removeSilence().

Preprocessing - Class in marf.Preprocessing

Abstract Preprocessing Module.

Preprocessing(Sample) - Constructor for class marf.Preprocessing.Preprocessing

Main Preprocessing constructor that performs normalization as a part of construction process.

Preprocessing(Preprocessing) - Constructor for class marf.Preprocessing.Preprocessing

Allows chaining of preprocessing modules.

PREPROCESSING_PLUGIN - Static variable in class marf.MARF

Indicates to employ user-defined preprocessing plugin.

PreprocessingException - Exception in marf.Preprocessing

Class PreprocessingException.

PreprocessingException(String) - Constructor for exception marf.Preprocessing.PreprocessingException

Preprocessing exception.

print(String) - Method in class marf.nlp.Parsing.SymbolTable

println(String) - Method in class marf.util.Logger.LogPrintStream

Issues a log message to the parent and possibly contained instance of itself.

println(Object) - Method in class marf.util.Logger.LogPrintStream

Object to log.

printXML(BufferedWriter, int) - Method in class marf.Classification.NeuralNetwork.Neuron

Dumps XML of the current Neuron.

ProbabilisticGrammarAnalyzer - Class in marf.nlp.Parsing.GrammarCompiler

Pobabilistic Grammar Analyzer.

ProbabilisticGrammarAnalyzer(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer

ProbabilisticGrammarCompiler - Class in marf.nlp.Parsing.GrammarCompiler

Probabilistic Grammar Compiler.

ProbabilisticGrammarCompiler(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler

ProbabilisticGrammarTokenType - Class in marf.nlp.Parsing.GrammarCompiler

Probabilistic Grammar Toke Type.

ProbabilisticGrammarTokenType() - Constructor for class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarTokenType

Constructor.

ProbabilisticParser - Class in marf.nlp.Parsing

TODO: document and refactor $Id: ProbabilisticParser.java,v 1.24 2005/06/16 19:58:57 mokhov Exp $

ProbabilisticParser(String) - Constructor for class marf.nlp.Parsing.ProbabilisticParser

ProbabilisticParser(StreamTokenizer) - Constructor for class marf.nlp.Parsing.ProbabilisticParser

ProbabilisticParser() - Constructor for class marf.nlp.Parsing.ProbabilisticParser

ProbabilisticRule - Class in marf.nlp.Parsing.GrammarCompiler

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 in marf.Stats

Probability Table. TODO: use marf.util.Matrix. $Id: ProbabilityTable.java,v 1.31 2005/07/30 20:05:45 mokhov Exp $

ProbabilityTable(String) - Constructor for class marf.Stats.ProbabilityTable

Constructor with the language parameter other than default.

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 in marf.Classification.RandomClassification

Random Classification Module is for testing purposes.

RandomClassification(IFeatureExtraction) - Constructor for class marf.Classification.RandomClassification.RandomClassification

RandomClassification Constructor.

RandomFeatureExtraction - Class in marf.FeatureExtraction.RandomFeatureExtraction

Implementation of random feature extraction for testing as a baseline.

RandomFeatureExtraction(IPreprocessing) - Constructor for class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction

RandomFeatureExtraction Constructor.

rankAll() - Method in class marf.Classification.Stochastic.ZipfLaw

Ranks results.

RankComparator - Class in marf.util.comparators

Rank Comparator.

RankComparator() - Constructor for class marf.util.comparators.RankComparator

RAW - Static variable in class marf.MARF

Indicates to use raw preprocessing, which means no preprocessing.

Raw - Class in marf.Preprocessing.Dummy

Implements raw preprocessing module for testing purposes that does not do any preprocessing.

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.

RAW_ZIPFS_LAW_DUMP - Static variable in class marf.MARF.NLP

Perform a raw dump of Zipf's Law data.

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.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().

removeNoise() - Method in interface marf.Preprocessing.IPreprocessing

Derivatives should implement this method to remove noise from the sample.

removeNoise() - Method in class marf.Preprocessing.Preprocessing

Derivatives should implement this method to remove noise from the sample.

removeRange(int, int) - Method in class marf.util.FreeVector

Not implemented.

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().

removeSilence() - Method in interface marf.Preprocessing.IPreprocessing

Derivatives should implement this method to remove silence.

removeSilence() - Method in class marf.Preprocessing.Preprocessing

Derivatives should implement this method to remove silence.

requiresArgument() - Method in class marf.util.OptionProcessor.Option

Tells if this option requires an argument.

requiresArgument(boolean) - Method in class marf.util.OptionProcessor.Option

Allows to specify whether this option requires an argument or not.

Reserved - Variable in class marf.nlp.Parsing.SymTabEntry

reset() - Method in class marf.nlp.util.NLPStreamTokenizer

Resets the internal reader's stream.

reset() - Method in interface marf.Storage.ISampleLoader

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.Storage.SampleLoader

Resets the marker for the audio stream.

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.RandomClassification.RandomClassification

Restores "training set" of IDs.

restore() - Method in class marf.Classification.Stochastic.Stochastic

Not Implemented.

restore() - Method in class marf.gui.Spectrogram

Not implemented.

restore() - Method in class marf.gui.WaveGrapher

Not implemented.

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.

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

Not implemented.

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

Not implemented.

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 in marf.Storage

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(int) - Constructor for class marf.Storage.Result

ID Constructor.

Result(int, double) - Constructor for class marf.Storage.Result

ID/outcome Constructor.

Result(int, String) - Constructor for class marf.Storage.Result

ID/description Constructor.

Result(double, String) - Constructor for class marf.Storage.Result

Outcome/description Constructor.

Result(int, double, String) - Constructor for class marf.Storage.Result

General ID/outcome/description Constructor.

ResultComparator - Class in marf.util.comparators

Compares two Result objects for equality.

ResultComparator(int) - Constructor for class marf.util.comparators.ResultComparator

Takes the sorting mode into consideration.

ResultSet - Class in marf.Storage

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.

REVISION - Static variable in class marf.MARF

Indicates MARF revision, like 1.1.1.

RHS - Variable in class marf.nlp.Parsing.GrammarCompiler.Rule

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

rotate(Vector, Vector) - Method in class marf.math.Matrix

Rotates a vector according to the given axis' factor and angle's degree.

rotate(Vector, double[]) - Method in class marf.math.Matrix

Rotates a vector according to the given axis' factor and angle's degree.

rotate(Vector, double, double, double, double) - Method in class marf.math.Matrix

Rotates a vector according to the given axis' factor and angle's degree.

rowOperation(double, int) - Method in class marf.math.Matrix

Performs a '+' linear row operation given the A and Rc parameters.

rowOperation(double, int, char, double, int) - Method in class marf.math.Matrix

Performs a specified linear row operation given the parameters.

rowReduce() - Method in class marf.math.Matrix

Applies row-reduce operation in this matrix.

Rule - Class in marf.nlp.Parsing.GrammarCompiler

Rule.

Rule(NonTerminal) - Constructor for class marf.nlp.Parsing.GrammarCompiler.Rule

RULE_OP - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType

::=.

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 in marf.Storage

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 in marf.Storage

Absract class that provides samle loading interface.

SampleLoader() - Constructor for class marf.Storage.SampleLoader

Default constructor.

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(String) - Method in interface marf.Storage.ISampleLoader

Same as saveSample(File) but takes filename as an argument.

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(String) - 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 class marf.Storage.SampleLoader

Same as saveSample(File) but takes filename as an argument.

sbDebugOn - Static variable in class marf.util.Debug

Public debug flag.

scale(Vector, Vector) - Method in class marf.math.Matrix

Returns a scaled vector.

scale(Vector, double[]) - Method in class marf.math.Matrix

Returns a scaled vector.

scale(Vector, double, double, double) - Method in class marf.math.Matrix

Returns a scaled vector.

scan() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer

Scan for tokens through the input stream.

SCAN - Static variable in exception marf.nlp.Parsing.SyntaxError

Recoverty action code specifying that one needs to keep scanning to recover.

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

Looks up an entry in either this table or in index given the table name an the identifier.

search(String, String, boolean) - Method in class marf.nlp.Parsing.SymbolTable

Looks up a symbol table entry in either this table or in index.

Segmentation - Class in marf.FeatureExtraction.Segmentation

Class Segmentation.

Segmentation(IPreprocessing) - Constructor for class marf.FeatureExtraction.Segmentation.Segmentation

Segmentation Constructor.

SEGMENTATION - Static variable in class marf.MARF

Indicates to use segmentation.

SEMANTIC_TOKEN - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType

Semantic token type.

SemanticAnalyzer - Class in marf.nlp.Parsing

Semantic Analyzer.

SemanticAnalyzer() - Constructor for class marf.nlp.Parsing.SemanticAnalyzer

SemanticError - Exception in marf.nlp.Parsing

Class SemanticError.

SemanticError(int, Token) - Constructor for exception marf.nlp.Parsing.SemanticError

Constructor 1.

SemanticError(Token, String) - Constructor for exception marf.nlp.Parsing.SemanticError

Constructor 2 - An Alterantive to Unknown Error.

SemanticToken - Class in marf.nlp.Parsing.GrammarCompiler

Class SematicToken, for Semantic Analysis.

SemanticToken(Token) - Constructor for class marf.nlp.Parsing.GrammarCompiler.SemanticToken

SemanticToken(Token, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.SemanticToken

SemanticToken(String, 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.GrammarCompiler.Grammar

Serialization.

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.LexicalAnalyzer

Load/Save the textual contents of such as Token list and Error list.

serialize(int, FileWriter) - Method in exception marf.nlp.Parsing.LexicalError

Serialization routine.

serialize(int, FileWriter) - Method in exception marf.nlp.Parsing.SemanticError

Serialization routine.

serialize(int) - Method in class marf.nlp.Parsing.SymbolTable

serialize(int, FileWriter) - Method in exception marf.nlp.Parsing.SyntaxError

Serialization routine.

serialize(int, FileWriter) - Method in class marf.nlp.Parsing.Token

Loads/Saves the token to a text file.

serialize(int) - Method in class marf.nlp.Parsing.TransitionTable

Serialize in text mode.

set(int, Object) - Method in class marf.util.FreeVector

Set an element of the vector given index.

setAll() - Method in class marf.math.Matrix

Sets all elements of the matrix to a default of 0.0.

setAll(double) - Method in class marf.math.Matrix

Sets all elements of the matrix to the specified value.

setAllRandom() - Method in class marf.math.Matrix

Sets all elements of the matrix at pseudo-random order.

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

Allows setting number of columns of the matrix.

setCurrentStatus(int) - Method in class marf.gui.util.ColoredStatusPanel

Sets current status to a new value and repaints.

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, int, double) - Method in class marf.math.Matrix

Sets matrix element's value at specified position.

setElement(int, double) - Method in class marf.math.Vector

Allows setting the value of vector's element at specified position.

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 exception 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.nlp.Parsing.GrammarCompiler.Rule

setID(int) - Method in class marf.nlp.Parsing.SymTabEntry

setID(int) - Method in class marf.Storage.Result

Sets ID, should only be called by a Classification module.

setLang(String) - Method in class marf.Stats.ProbabilityTable

Allows setting a natural language associated with this table.

setLanguage(String) - Static method in class marf.MARF.NLP

Sets current processed language.

setLanguage(String) - Method in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Allows altering current language being processed.

setLanguage(String) - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

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 exception marf.nlp.Parsing.SyntaxError

Updates location.

setLogDirection(int) - Method in class marf.util.Logger

Sets new log direction.

setLogFilename(String) - Method in class marf.util.Logger

setLogPrintStream(Logger.LogPrintStream) - Method in class marf.util.Logger

Allows to set new log stream.

setLowerBound(int) - Method in class marf.gui.util.ColoredStatusPanel

Sets lower bound.

setMatrix2D(double[][]) - Method in class marf.math.Matrix

Sets internal array based on 2-dimensional parameter.

setMatrixArray(double[]) - Method in class marf.math.Matrix

Allows setting the new internal array of matrix data from the paramter.

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(boolean) - Method in class marf.nlp.Parsing.SymTabEntry

Sets the value of the MultilplyDefined property.

setMultiplyDefined() - Method in class marf.nlp.Parsing.SymTabEntry

setNgram(int, Ngram) - Method in class marf.Stats.Ngram

Sets an N-gram at a specified index.

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

Allows setting an occurence given the x coordinate.

setOccurence(int, int, double) - Method in class marf.Stats.ProbabilityTable

Allows setting an occurence given the x and y coordinates.

setOccurence(int, int, int, double) - Method in class marf.Stats.ProbabilityTable

Allows setting an occurence given the x, y, and z coordinates.

setOccurence(Vector, double) - Method in class marf.Stats.ProbabilityTable

Allows setting an occurence of a list of observations.

setOptionArgument(String) - Method in class marf.util.OptionProcessor.Option

Allows setting the option argument.

setOptionEnumeration(int) - Method in class marf.util.OptionProcessor.Option

Allows setting the option number.

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 exception 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

Allows setting rank of this object.

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

Allows setting number of rows of the 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 exception 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(StreamTokenizer) - Method in class marf.nlp.Parsing.ProbabilisticParser

setStreamTokenizer(NLPStreamTokenizer) - Method in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Sets desired StreamTokenizer.

setStreamTokenizer(NLPStreamTokenizer) - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

setStrOptionName(String) - Method in class marf.util.OptionProcessor.Option

Allows setting the option name.

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

Sets upper bound.

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

shear(Vector, Vector) - Method in class marf.math.Matrix

Returns a sheared vector.

shear(Vector, double[]) - Method in class marf.math.Matrix

Returns a sheared vector.

shear(Vector, double, double, double) - Method in class marf.math.Matrix

Returns a sheared vector.

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 in marf.Storage.Loaders

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.math.Matrix

Analoguous to getElements().

size() - Method in class marf.Stats.ProbabilityTable

Retrieves the size of the table.

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.

SLI - Static variable in interface marf.MARF.IStatisticalEstimators

Indicates to use SLI estimator/smoothing.

SLI - Class in marf.Stats.StatisticalEstimators

SLI Statistical Estimator.

SLI() - Constructor for class marf.Stats.StatisticalEstimators.SLI

SmartSizablePanel - Class in marf.gui.util

TODO: massage and document $Id: SmartSizablePanel.java,v 1.8 2005/06/16 19:58:55 mokhov Exp $

SmartSizablePanel(int, int, int, int) - Constructor for class marf.gui.util.SmartSizablePanel

Construction.

SmartSizablePanel() - Constructor for class marf.gui.util.SmartSizablePanel

Equivalent to SmartSizablePanel(0, 0, 0, 0).

smooth() - Method in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta

smooth() - Method in class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring

smooth() - Method in interface marf.Stats.StatisticalEstimators.Smoothing.ISmoothing

General smoothing routine.

smooth() - Method in class marf.Stats.StatisticalEstimators.Smoothing.WittenBell

Smoothing - Class in marf.Stats.StatisticalEstimators.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 in marf.Storage.Loaders

Not Implemented.

SNDLoader() - Constructor for class marf.Storage.Loaders.SNDLoader

SND Loader Constructor.

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).

sort(double[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(double[]).

sort(float[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(float[]).

sort(int[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(int[]).

sort(byte[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(byte[]).

sort(char[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(char[]).

sort(long[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(double[]).

sort(short[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(short[]).

sort(Object[]) - Static method in class marf.util.Arrays

A wrapper of java.util.Arrays.sort(object []).

SortComparator - Class in marf.util

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 in marf.gui

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 in marf.gui

GUI component to draw spectrograms to be used by apps.

SpectrogramPanel() - Constructor for class marf.gui.SpectrogramPanel

Default.

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 non-started 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 in marf.Stats.StatisticalEstimators

Implements generic Statistical Estimator routines.

StatisticalEstimator() - Constructor for class marf.Stats.StatisticalEstimators.StatisticalEstimator

StatisticalObject - Class in marf.Stats

Generic Statistical Object.

StatisticalObject() - Constructor for class marf.Stats.StatisticalObject

Constructs a default statistical object.

StatisticalObject(int) - Constructor for class marf.Stats.StatisticalObject

Constructs a statistical object with a frequency parameter

StatsCollector - Class in marf.Stats

TODO: Implement.

StatsCollector() - Constructor for class marf.Stats.StatsCollector

stem() - Method in interface marf.nlp.Stemming.IStemming

General stem method the derivatives must implement.

stem() - Method in class marf.nlp.Stemming.StemmingEN

Not implemented.

STEMMING - Static variable in class marf.MARF.NLP

Indicates to use stemming module.

Stemming - Class in marf.nlp.Stemming

General Stemmer.

Stemming() - Constructor for class marf.nlp.Stemming.Stemming

StemmingEN - Class in marf.nlp.Stemming

English Language Stemmer.

StemmingEN() - Constructor for class marf.nlp.Stemming.StemmingEN

Stochastic - Class in marf.Classification.Stochastic

Generic Stochastic Classification Module.

Stochastic(IFeatureExtraction) - Constructor for class marf.Classification.Stochastic.Stochastic

Stochastic Constructor.

STOCHASTIC - Static variable in class marf.MARF

Indicates to use stochastic models for classification.

STORAGE_FILE_EXTENSIONS - Static variable in interface marf.Storage.IStorageManager

Maps DUMP_ constants to default filename extensions.

StorageException - Exception in marf.Storage

Class StorageException.

StorageException(String) - Constructor for exception marf.Storage.StorageException

Generic exception.

StorageException(Exception) - Constructor for exception marf.Storage.StorageException

Exception wrapper constructor.

StorageManager - Class in marf.Storage

Class StorageManager.

StorageManager() - Constructor for class marf.Storage.StorageManager

Default constructor equivalent to StorageManager(null, getClass().getName()).

StorageManager(String) - Constructor for class marf.Storage.StorageManager

Constructor with filename parameter equivalent to StorageManager(null, pstrFilename).

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, boolean) - Constructor for class marf.Storage.StorageManager

Constructor with filename parameter equivalent to StorageManager(null, pstrFilename).

StorageManager(Object, boolean) - Constructor for class marf.Storage.StorageManager

General constructor with serializable object parameter.

StorageManager(Object, String, boolean) - Constructor for class marf.Storage.StorageManager

General constructor with filename and serializable object parameters.

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.

strFilename - Variable in class marf.util.Logger

Redirection filename.

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.

strLogMessage - Variable in class marf.util.Logger

Log message to log.

strMessage - Variable in exception marf.util.MARFException

Our own error message container.

strMethod - Variable in class marf.gui.Spectrogram

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

strName - Variable in class marf.nlp.Parsing.SymbolTable

Name of the table, must be unique.

strOptionArgument - Variable in class marf.util.OptionProcessor.Option

Internal container for option argument; default is "".

strOptionName - Variable in class marf.util.OptionProcessor.Option

Internal container for option name; default is "UNDEFINED".

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 in marf.nlp.Parsing

Symbol Table implementation.

SymbolTable() - Constructor for class marf.nlp.Parsing.SymbolTable

Default Constructor.

SymbolTable(String) - Constructor for class marf.nlp.Parsing.SymbolTable

Accepts scope name.

SymbolTable(String, SymbolTable) - Constructor for class marf.nlp.Parsing.SymbolTable

Accepts scope name and the reference to the parent.

SymDataType - Class in marf.nlp.Parsing

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 in marf.nlp.Parsing

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

SyntaxError - Exception in marf.nlp.Parsing

Syntax Errors.

SyntaxError(int) - Constructor for exception marf.nlp.Parsing.SyntaxError

Constructor 0.

SyntaxError(int, Token) - Constructor for exception marf.nlp.Parsing.SyntaxError

Constructor 1.

SyntaxError(Token, String) - Constructor for exception marf.nlp.Parsing.SyntaxError

Constructor 2 - An Alterantive to Unknown Error.

SyntaxError(String) - Constructor for exception marf.nlp.Parsing.SyntaxError

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 in marf.nlp.Parsing.GrammarCompiler

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 in <Unnamed>

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 in marf.nlp.Parsing

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 in marf.nlp.Parsing

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 in marf.nlp.Parsing

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.Classification.RandomClassification.RandomClassification

Returns string representation of the internals of this object.

toString() - Method in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes

Creates String representation of the inner feature vector.

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.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.Storage.Sample

Returns textual representation of the sample object.

toString() - Method in exception marf.util.MARFException

Override toString() to display our message.

toString() - Method in class marf.util.OptionProcessor.Option

String representation of the option.

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 exception marf.nlp.Parsing.LexicalError

Not meaningful trailing zeros aren't allowed.

train() - Method in class marf.Classification.Classification

Generic training routine for building/updating mean vectors in the training set.

train() - Method in interface marf.Classification.IClassification

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(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.

train() - Method in class marf.Classification.RandomClassification.RandomClassification

Simply stores incoming ID's.

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 - 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.nlp.Parsing.ProbabilisticParser

train() - Method in class marf.Stats.StatisticalEstimators.GLI

train() - Method in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator

Every estimator needs to implement its specific training method.

train() - Method in class marf.Stats.StatisticalEstimators.KatzBackoff

train() - Method in class marf.Stats.StatisticalEstimators.SLI

train() - Method in class marf.Stats.StatisticalEstimators.Smoothing.Smoothing

train() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator

Every estimator needs to implement its specific training method.

TrainingSample - Class in marf.Storage

TrainingSample contains one item in the training set.

TrainingSample() - Constructor for class marf.Storage.TrainingSample

TrainingSet - Class in marf.Storage

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 in marf.nlp.Parsing

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.

translate(Vector, Vector) - Method in class marf.math.Matrix

Translates a vector according to the given size.

translate(Vector, double[]) - Method in class marf.math.Matrix

Translates a vector according to the given size.

translate(Vector, double, double, double) - Method in class marf.math.Matrix

Translates a vector according to the given size.

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 in marf.nlp.Collocations

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.GrammarCompiler.Terminal

type - Variable in class marf.nlp.Parsing.SymDataType

type - Variable in class marf.nlp.Parsing.TokenType

Current token type.

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.Type

Specifies ULAW file.

ULAW - Static variable in class marf.Storage.MARFAudioFileFormat

Indicates ULAW incoming sample file format.

ULAWLoader - Class in marf.Storage.Loaders

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 exception marf.nlp.Parsing.SemanticError

Undefined Symbol.

UNEXPECTED_EOF - Static variable in exception 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

Not implemented.

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.Loaders.SineLoader

Overridden to reset sample's array mark only.

updateSample() - Method in class marf.Storage.SampleLoader

updateSample() is just used whenever the AudioInputStream is assigned to a new value (wave file).

updateTokenInfo(Token) - Method in exception 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 in marf.nlp.Parsing

Variable SymTab Entry.

VarSymTabEntry() - Constructor for class marf.nlp.Parsing.VarSymTabEntry

Default Construtor.

Vector - Class in marf.math

Algebraic operations on vectors.

Vector() - Constructor for class marf.math.Vector

Constructs a vector of default length of 3.

Vector(int) - Constructor for class marf.math.Vector

Constructs a vector with the specified length.

Vector(Vector) - Constructor for class marf.math.Vector

Constructs a vector from another vector; a-la copy conctructor.

Vector(Matrix) - Constructor for class marf.math.Vector

Constructs a vector out of a matrix and forces the rows dimension to 1 and "flattens" the matrix to have the number of columns as the same number of elements in the original matrix.

Vector(double[]) - Constructor for class marf.math.Vector

Constructs a vector out of a raw array of doubles.

Vector(double[], boolean) - Constructor for class marf.math.Vector

Allows having a transposed vector upon consuctrion.

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 in marf.gui

Class WaveGrapher.

WaveGrapher(double[], double, double, String, String) - Constructor for class marf.gui.WaveGrapher

Constructor.

WaveGrapherPanel - Class in marf.gui

GUI component to draw wave forms to be used by apps.

WaveGrapherPanel() - Constructor for class marf.gui.WaveGrapherPanel

Default.

WAVLoader - Class in marf.Storage.Loaders

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 in marf.Stats.StatisticalEstimators.Smoothing

Represents Witten-Bell Smoothing Algorithm.

WittenBell() - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.WittenBell

WordStats - Class in marf.Stats

A pure container for statistics of a word --- no business logic.

WordStats() - Constructor for class marf.Stats.WordStats

Constructs the default objec with empty lexeme.

WordStats(int, String) - Constructor for class marf.Stats.WordStats

Constructs object with the desired frequency and the lexeme.

WordStats(int) - Constructor for class marf.Stats.WordStats

Constructs object with the desired frequency.

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 in marf.Classification.Stochastic

Module exercising Zipf's Law.

ZipfLaw(String) - Constructor for class marf.Classification.Stochastic.ZipfLaw

Takes a filename argument.

ZipfLaw(IFeatureExtraction) - Constructor for class marf.Classification.Stochastic.ZipfLaw

Classification API.

ZIPFS_LAW_CHEAT - Static variable in class marf.MARF.NLP

When classifying, cheat with Zipf's Law implementation.

A B C D E F G H I J K L M N O P Q R S T U V W Y Z