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A

a00 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
a01 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
a1 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
a10 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
a11 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
a2 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
abs(ComplexNumber) - Static method in class marf.math.ComplexNumber: Magnitude = abs(z) = |z|.
abs() - Method in class marf.math.ComplexNumber: abs(this) = |this|.
add(Neuron) - Method in class marf.Classification.NeuralNetwork.Layer: Allows adding a neuron to the layer.
add(ComplexNumber) - Method in class marf.math.ComplexMatrix: Adds a complex scalar to the matrix: this = this + Z.
add(ComplexMatrix, ComplexMatrix) - Static method in class marf.math.ComplexMatrix: A convenience wrapper of Matrix.add().
add(Matrix, ComplexMatrix) - Static method in class marf.math.ComplexMatrix
add(ComplexMatrix, Matrix) - Static method in class marf.math.ComplexMatrix
add(ComplexMatrix, double) - Static method in class marf.math.ComplexMatrix
add(ComplexMatrix, ComplexNumber) - Static method in class marf.math.ComplexMatrix
add(ComplexNumber, ComplexNumber) - Static method in class marf.math.ComplexNumber: C3 = C1 + C2.
add(ComplexNumber) - Method in class marf.math.ComplexNumber: this = this + C.
add(ComplexVector) - Method in class marf.math.ComplexVector: V1 = this + V.
add(ComplexVector, ComplexVector) - Static method in class marf.math.ComplexVector: V3 = V1 + V2.
add(Matrix, Matrix) - Static method in class marf.math.Matrix: M3 = M1 + M2.
add(double) - Method in class marf.math.Matrix: Adds a scalar to the matrix: this = this + N.
add(Matrix, double) - Static method in class marf.math.Matrix: Adds a scalar to the matrix: M1 = M + N.
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.EStatisticalEstimators: Indicates to use Add Delta estimator/smoothing.
ADD_ONE - Static variable in interface marf.MARF.EStatisticalEstimators: Indicates to use Add One estimator/smoothing.
addActiveOption(String) - Method in interface marf.util.IOptionProvider
addActiveOption(String, String) - Method in interface marf.util.IOptionProvider
addActiveOption(int, String) - Method in interface marf.util.IOptionProvider
addActiveOption(String) - Method in class marf.util.OptionFileLoader
addActiveOption(int, String) - Method in class marf.util.OptionFileLoader
addActiveOption(String, String) - Method in class marf.util.OptionFileLoader
addActiveOption(String, String) - Method in class marf.util.OptionProcessor: Allows adding a valid option to the set of valid options.
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.
addActiveOption(String) - Method in class marf.util.OptionProcessor: Allows adding a value option.
addAll(int, Collection) - Method in class marf.util.FreeVector: Adds a collection of elements to this vector starting at given index.
adDataArray - Variable in class marf.gui.WaveGrapher: Data to graph.
adDataVector - Variable in class marf.Storage.TrainingSample: Array representing either a feature vector, mean vector describing the cluster, or a median vector.
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: Constructs the estimator with the specified delta.
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[], String, int) - Method in class marf.Storage.FeatureSet
addFeatureVector(double[], String, int) - Method in interface marf.Storage.ITrainingSample: Fully equivalent to setFeatureVector().
addFeatureVector(double[], String, int) - Method in class marf.Storage.TrainingSample
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.
addFilename(String) - Method in interface marf.Storage.ITrainingSample
addFilename(String) - Method in class marf.Storage.TrainingSample: Adds a filename to the training sample.
addIDToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Adds a non-terminal grammar ID token type to the RHS of the current rule.
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.
addNextRHSElement() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Adds next element to the RHS of the current rule.
addNextRHSElement() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler: Overridden to possibly take into consideration the probability tokens.
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: Adds non-terminal to the set of non-terminals.
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.
addParam(Object, int) - Method in class marf.Storage.ModuleParams: Adds a single object to the corresponding Vector.
addParams(Vector, int) - Method in class marf.Storage.ModuleParams: Appends params vector to whatever there possibly was.
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: Allows adding grammar elements on the RHS of this rule.
addRule(Rule) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Adds a grammar rule to the collection of rules.
addSymbol(Token) - Method in class marf.nlp.Parsing.SymbolTable: Adds a symbol token to the table.
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: Adds a terminal to the set of terminals.
addTerminalToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Adds a terminal token type to the RHS of the current rule.
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 if it's not already there.
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 if it's not already there.
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: Adds the current token to the token list if it is not null and not of backtrack, EOF, or error type.
addValidOption(String) - Method in interface marf.util.IOptionProvider
addValidOption(int, String) - Method in interface marf.util.IOptionProvider
addValidOption(int, String, boolean) - Method in interface marf.util.IOptionProvider
addValidOption(String) - Method in class marf.util.OptionFileLoader
addValidOption(int, String) - Method in class marf.util.OptionFileLoader
addValidOption(int, String, boolean) - Method in class marf.util.OptionFileLoader
addValidOption(int, String) - Method in class marf.util.OptionProcessor: Allows adding a valid option to the set of valid options.
addValidOption(String) - Method in class marf.util.OptionProcessor: Allows adding a value option.
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).
adFeatureVector - Variable in class marf.Classification.Classification: Local reference to the array of features, either obtained from the feature extraction module or passed directly to train() or classify.
adFreqResponse - Variable in class marf.Preprocessing.FFTFilter.FFTFilter: Frequency response to be multiplied by the incoming value.
adImaginaryMatrix - Variable in class marf.math.ComplexMatrix: The corresponding imaginary data to the real data array.
adMatrix - Variable in class marf.math.Matrix: Matrix itself.
adParseMatrix - Variable in class marf.nlp.Parsing.ProbabilisticParser: 3-dimensional parse matrix for CYK.
adSample - Variable in class marf.Storage.Sample: Sample data array (amplitudes).
adSampleData - Variable in class marf.FeatureExtraction.FeatureExtractionAggregator.FeatureExtractionThread: Sample data container reference if the data is coming not from preprocessing.
aiDimensions - Variable in class marf.util.Matrix: Matrix dimensions.
AIFC - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies an AIFF-C file.
AIFF - Static variable in class marf.MARF: AIFF sample format.
AIFF - Static variable in class marf.Storage.MARFAudioFileFormat: AIFF sample format.
AIFF - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies an AIFF file.
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: TODO: Not Implemented.
AIFFCLoader() - Constructor for class marf.Storage.Loaders.AIFFCLoader: AIFFC Loader Constructor.
AIFFLoader - Class in marf.Storage.Loaders: TODO: 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() - Constructor for class marf.math.Algorithms: There shall no be derivatives or instances.
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: Constant for keyword "and".
aoBack - Variable in class marf.nlp.Parsing.ProbabilisticParser: 3-dimensional collection of back-vectors for CYK.
aoNgramElements - Variable in class marf.Stats.Ngram: N-gram's parts.
aoResultSetSorted - Variable in class marf.Storage.ResultSet: References to the objects in the oResultSet in the sorted order.
aoSortedStatRefs - Variable in class marf.Classification.Stochastic.ZipfLaw: Sorted references to stats.
append(Object) - Method in class marf.nlp.Storage.Corpus
appendToken(String) - Method in class marf.nlp.Storage.Corpus
applyAdd(Matrix, Matrix, int, int) - Method in class marf.math.ComplexMatrix: Overrides the parent to apply complex number addition.
applyAdd(Matrix, Matrix, int, int) - Method in class marf.math.Matrix: Actually applies the addition of operation to two elements of a matrix.
applyMinus(Matrix, Matrix, int, int) - Method in class marf.math.ComplexMatrix: Overrides the parent to apply complex number addition.
applyMinus(Matrix, Matrix, int, int) - Method in class marf.math.Matrix
applyMultiply(Matrix, Matrix, int, int) - Method in class marf.math.ComplexMatrix
applyMultiply(Matrix, Matrix) - Method in class marf.math.ComplexMatrix
applyMultiply(Matrix, Matrix) - Method in class marf.math.Matrix
applyMultiply(Matrix, Matrix, int, int) - Method in class marf.math.Matrix
areErrorsPresent() - Method in class marf.nlp.Parsing.Parser: Allows to query the fact that there were lexical or syntax errors or not.
arg(ComplexNumber) - Static method in class marf.math.ComplexNumber
arg() - Method in class marf.math.ComplexNumber
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 is provided to allow making extension of this class if developers desire to do so.
arrayToCSV(String[]) - Static method in class marf.util.Arrays: Converts array of Strings to a single comma-separated String.
arrayToCSV(Object[]) - Static method in class marf.util.Arrays: Converts array of Objects to a single comma-separated String.
arrayToCSV(int[]) - Static method in class marf.util.Arrays: Converts array of integers to a single comma-separated String.
arrayToCSV(long[]) - Static method in class marf.util.Arrays: Converts array of longs to a single comma-separated String.
arrayToCSV(float[]) - Static method in class marf.util.Arrays: Converts array of floats to a single comma-separated String.
arrayToCSV(double[]) - Static method in class marf.util.Arrays: Converts array of doubles to a single comma-separated String.
arrayToCSV(byte[]) - Static method in class marf.util.Arrays: Converts array of bytes to a single comma-separated String.
arrayToCSV(boolean[]) - Static method in class marf.util.Arrays: Converts array of booleans to a single comma-separated String.
arrayToCSV(char[]) - Static method in class marf.util.Arrays: Converts array of characters to a single comma-separated String.
arrayToDelimitedString(String[], String) - Static method in class marf.util.Arrays: Converts array of Strings to a single string separated by the specified delimiter.
arrayToDelimitedString(int[], String) - Static method in class marf.util.Arrays: Converts array of integers to a single string separated by the specified delimiter.
arrayToDelimitedString(Object[], String) - Static method in class marf.util.Arrays: Converts array of Objects to a single string separated by the specified delimiter.
arrayToDelimitedString(long[], String) - Static method in class marf.util.Arrays: Converts array of longs to a single string separated by the specified delimiter.
arrayToDelimitedString(float[], String) - Static method in class marf.util.Arrays: Converts array of floats to a single string separated by the specified delimiter.
arrayToDelimitedString(double[], String) - Static method in class marf.util.Arrays: Converts array of doubles to a single string separated by the specified delimiter.
arrayToDelimitedString(byte[], String) - Static method in class marf.util.Arrays: Converts array of bytes to a single string separated by the specified delimiter.
arrayToDelimitedString(boolean[], String) - Static method in class marf.util.Arrays: Converts array of booleans to a single string separated by the specified delimiter.
arrayToDelimitedString(char[], String) - Static method in class marf.util.Arrays: Converts array of characters to a single string separated by the specified delimiter.
arrayToString(String[]) - Static method in class marf.util.Arrays: Converts array of Strings to a single space-separated String.
arrayToString(Object[]) - Static method in class marf.util.Arrays: Converts array of Objects to a single space-separated String.
arrayToString(int[]) - Static method in class marf.util.Arrays: Converts array of integers to a single space-separated String.
arrayToString(long[]) - Static method in class marf.util.Arrays: Converts array of longs to a single space-separated String.
arrayToString(float[]) - Static method in class marf.util.Arrays: Converts array of floats to a single space-separated String.
arrayToString(double[]) - Static method in class marf.util.Arrays: Converts array of doubles to a single space-separated String.
arrayToString(byte[]) - Static method in class marf.util.Arrays: Converts array of bytes to a single space-separated String.
arrayToString(boolean[]) - Static method in class marf.util.Arrays: Converts array of booleans to a single space-separated String.
arrayToString(char[]) - Static method in class marf.util.Arrays: Converts array of characters to a single space-separated String.
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.
arrayToVector(Object[]) - Static method in class marf.util.Arrays: Converts array of Objects 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.
attBuffers - Variable in class marf.Storage.ByteArrayFileReader: Buffer of buffers to fill in.
AU - Static variable in class marf.MARF: AU sample format.
AU - Static variable in class marf.Storage.MARFAudioFileFormat: AU sample format.
AU - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies an AU file.
AudioSampleLoader - Class in marf.Storage.Loaders: Abstract class that provides a generic sound-oriented implementation of the sample loading interface.
AudioSampleLoader() - Constructor for class marf.Storage.Loaders.AudioSampleLoader: Default constructor.
AULoader - Class in marf.Storage.Loaders: TODO: 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

b00 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
b01 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
b1 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
b10 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
b11 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
b2 - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
backSynchronizeObject() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork
backSynchronizeObject() - Method in class marf.Classification.RandomClassification.RandomClassification
backSynchronizeObject() - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier: Add a piece of general StorageManager contract.
backSynchronizeObject() - Method in class marf.Classification.Stochastic.ZipfLaw
backSynchronizeObject() - Method in class marf.FeatureExtraction.FeatureExtraction: Implementation of back-synchronization of loaded object.
backSynchronizeObject() - Method in class marf.nlp.Parsing.ProbabilisticParser: Implements StorageManager interface.
backSynchronizeObject() - Method in class marf.Preprocessing.CFEFilters.CFEFilter
backSynchronizeObject() - Method in class marf.Preprocessing.Preprocessing: Implementation of back-synchronization of Sample loaded object.
backSynchronizeObject() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator: Updates the reference to the probabilities table for future serialization after restoration.
backSynchronizeObject() - Method in class marf.Storage.Database: Implementation of back-synchronization of Database loaded object.
backSynchronizeObject() - Method in class marf.Storage.StorageManager: Must to be overridden by the modules that use object serialization with the generic implementation of restore().
backSynchronizeObject() - Method in class marf.Storage.TrainingSet
BACKTRACK - Static variable in class marf.nlp.Parsing.TokenType: This indicates we have to backtrack one token and don't do any extra processing.
BAND_PASS_CFE_FILTER - Static variable in class marf.MARF: Indicates to use band-pass CFE filter.
BAND_STOP_CFE_FILTER - Static variable in class marf.MARF: Indicates to use band-stop CFE filter.
BAND_STOP_FFT_FILTER - Static variable in class marf.MARF: Indicates to use band-stop FFT filter.
BANDPASS_FFT_FILTER - Static variable in class marf.MARF: Indicates to use band-pass filter.
BandPassFilter - Class in marf.Preprocessing.CFEFilters: Implements band-pass CFE filter based on Shivani Bhat's thesis work.
BandPassFilter(Sample) - Constructor for class marf.Preprocessing.CFEFilters.BandPassFilter: LowPassFilter Constructor.
BandpassFilter - Class in marf.Preprocessing.FFTFilter: Bandpass Filter Implementation based on the FFTFilter.
BandpassFilter() - Constructor for class marf.Preprocessing.FFTFilter.BandpassFilter: Default constructor for reflective creation of Preprocessing clones.
BandpassFilter(IPreprocessing) - Constructor for class marf.Preprocessing.FFTFilter.BandpassFilter: Implements preprocessing pipeline.
BandpassFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.BandpassFilter: BandpassFilter Constructor.
BandStopFilter - Class in marf.Preprocessing.CFEFilters
BandStopFilter(Sample) - Constructor for class marf.Preprocessing.CFEFilters.BandStopFilter: LowPassFilter Constructor.
BandStopFilter - Class in marf.Preprocessing.FFTFilter: Band-stop Filter Implementation based on the FFTFilter.
BandStopFilter() - Constructor for class marf.Preprocessing.FFTFilter.BandStopFilter: Default constructor for reflective creation of Preprocessing clones.
BandStopFilter(IPreprocessing) - Constructor for class marf.Preprocessing.FFTFilter.BandStopFilter: Implements preprocessing pipeline.
BandStopFilter(Sample) - Constructor for class marf.Preprocessing.FFTFilter.BandStopFilter: BandpassFilter Constructor.
BASE_BOOST_COEFFICIENT - Static variable in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Default boost rate of 5*PI to be applied to amplitude 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.
bCompress - Variable in class marf.Preprocessing.Endpoint.Endpoint: Indicates whether to compress or not the sample before extracting edpoints.
bConnected - Variable in class marf.Storage.Database: Indicates whether we are connected or not.
bConsiderEdges - Variable in class marf.Preprocessing.Endpoint.Endpoint: Indicates whether to consider or or not the edge points (at the beginning and the end of the sample) as endpoints.
bDebug - Variable in class marf.Configuration: Debug flag.
bDeclared - Variable in class marf.nlp.Parsing.SymTabEntry: A flag indicating that the symbol was (true) or was not (false) resolved.
bDefined - Variable in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Flag indicating whether this non-terminal is defined or not.
bDumpLogariphm - Variable in class marf.Classification.Stochastic.ZipfLaw: Indicates whether to dump in log-log scale format 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.
bDumpSpectrogram - Variable in class marf.Configuration: Indicates whether or not to dump a spectrogram at the end of feature extraction.
bDumpWaveGraph - Variable in class marf.Configuration: Indicates whether or not to dump a wave graph.
bErrorsPresent - Variable in class marf.nlp.Parsing.GenericLexicalAnalyzer: An indicator of presence of lexical errors.
bErrorsPresent - Variable in class marf.nlp.Parsing.Parser: Fact, indicating that there are syntax errors.
bHasArgument - Variable in class marf.util.OptionProcessor.Option: A flag is set to true if the option has its argument set.
BIGRAM - Static variable in interface marf.MARF.ENgramModels: 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().
bIsInitialized - Variable in class marf.util.OptionFileLoader: Indicates that the config was initialized.
bMultilplyDefined - Variable in class marf.nlp.Parsing.SymTabEntry: A flag indicating that the symbol was (true) or was not (false) multiply defined.
bNoTimestamp - Variable in class marf.util.Logger: If set to true, no timestamp is issued with a message.
bNumberMode - Variable in class marf.nlp.Parsing.LexicalAnalyzer: This flag is used for backtracking when recognizing numbers.
bOperatorMode - Variable in class marf.nlp.Parsing.LexicalAnalyzer: This flag is used for backtracking when recognizing 'ambiguous' operators such as '<>' and '<' and friends.
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.
bRemoveNoise - Variable in class marf.Preprocessing.Preprocessing: By default we do not remove noise.
bRemoveSilence - Variable in class marf.Preprocessing.Preprocessing: By default we do not remove silence.
bRequiresArgument - Variable in class marf.util.OptionProcessor.Option: A flag is set to true if the option has a mandatory argument.
bReserved - Variable in class marf.nlp.Parsing.SymTabEntry: A flag indicating that the symbol was (true) or was not (false) reserved.
bRetVal - Variable in class marf.FeatureExtraction.FeatureExtractionAggregator.FeatureExtractionThread: Keeps return value from extractFeatures() in case someone is interested.
bSeen - Variable in class marf.Stats.Observation: Indicates a fact that this observation has been "seen".
buildNetwork(Node) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Performs DOM tree traversal to build neural network structure.
ByteArrayFileReader - Class in marf.Storage: Reads in a file contents into a byte array buffers.
ByteArrayFileReader() - Constructor for class marf.Storage.ByteArrayFileReader: Constructs an empty reader.
ByteArrayFileReader(String) - Constructor for class marf.Storage.ByteArrayFileReader: Constructs the reader with the contents of the file by specifying the filename.
ByteArrayFileReader(File) - Constructor for class marf.Storage.ByteArrayFileReader: Constructs the reader with the contents of the file by specifying the File object.
ByteArrayFileReader(URI) - Constructor for class marf.Storage.ByteArrayFileReader: Constructs the reader with the contents of the file by specifying the URI.
ByteArrayFileReader(InputStream) - Constructor for class marf.Storage.ByteArrayFileReader: Constructs the reader with the contents of the file by specifying the InputStream object.
ByteArrayFileReader(Reader) - Constructor for class marf.Storage.ByteArrayFileReader: Constructs the reader with the contents of the file by specifying the Reader object.
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

CACHED_VECTOR_TYPE_INVALID - Static variable in class marf.Storage.FeatureSet: Cached vector's data is invalid (untrustworthy), i.e.
CACHED_VECTOR_TYPE_MEAN - Static variable in class marf.Storage.FeatureSet: The cached vector data represents a freshly computed mean vector.
CACHED_VECTOR_TYPE_MEDIAN - Static variable in class marf.Storage.FeatureSet: The cached vector data represents a freshly computed median vector.
CASE_SENSITIVE - Static variable in class marf.MARF.NLP: Indicates to use case-sensitive processing of text.
Cepstral - Class in marf.FeatureExtraction.Cepstral: Cepstral Analysis.
Cepstral(IPreprocessing) - Constructor for class marf.FeatureExtraction.Cepstral.Cepstral: Cepstral Constructor.
CEPSTRAL - Static variable in class marf.MARF: Indicates to use cepstral analysis.
CFEFilter - Class in marf.Preprocessing.CFEFilters: General Continuous-Fraction Expansion (CFE) filter types.
CFEFilter(Sample) - Constructor for class marf.Preprocessing.CFEFilters.CFEFilter: LowPassFilter Constructor.
CHARACTER_MODE - Static variable in class marf.MARF.NLP: Work in character n-gram 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.
checkSettings() - Static method in class marf.MARF: Checks for all necessary settings to be present.
checkUndefinedNonTerminals() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Checks for undefined non-terminals in the grammar.
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 data type of the symbol.
CLASS - Static variable in class marf.nlp.Parsing.SymTabEntry: Class Entry Type.
CLASS - Static variable in class marf.nlp.Parsing.TokenSubType: Constant for keyword "class".
Classification - Class in marf.Classification: Abstract Classification Module.
Classification(IFeatureExtraction) - Constructor for class marf.Classification.Classification: Generic Classification Constructor.
CLASSIFICATION - Static variable in class marf.Storage.ModuleParams: Indicates that we manipulate on the Classification Vector.
CLASSIFICATION_PLUGIN - Static variable in class marf.MARF: Indicates to employ user-defined classification plug-in.
ClassificationException - Exception in marf.Classification: Class ClassificationException indicates an error during classification process.
ClassificationException() - Constructor for exception marf.Classification.ClassificationException: Constructs a default classification exception with the message the same as the class name.
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.
ClassificationFactory - Class in marf.Classification: Provides a factory to instantiate requested classification module(s).
ClassificationFactory() - Constructor for class marf.Classification.ClassificationFactory: Disallow instances of this factory as deemed useless.
classify() - Method in class marf.Classification.Classification: Generic classification routine that assumes a presence of a valid non-null feature extraction module for pipeline operation.
classify(double[]) - 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(double[]) - Method in interface marf.Classification.IClassification: Generic classification routine.
classify() - Method in class marf.Classification.Markov.Markov: Not Implemented.
classify(double[]) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Neural Network implementation of classification routine.
classify(double[]) - Method in class marf.Classification.RandomClassification.RandomClassification: Picks an ID at random.
classify(double[]) - Method in class marf.Classification.Similarity.CosineSimilarityMeasure: Classify the feature vector based on whatever similarity() derivatives implement.
classify() - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier: Performs language classification.
classify(double[]) - Method in class marf.Classification.Stochastic.Stochastic: Not Implemented.
classify(double[]) - Method in class marf.Classification.Stochastic.ZipfLaw
CLASSIFY - Static variable in class marf.MARF.NLP: Action to perform a classification task.
ClassSymTabEntry - Class in marf.nlp.Parsing: ClassSymTabEntry represents an entry in the symbol table corresponding to a class definition.
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.Classification.Classification: Implements Cloneable interface for the Classification object.
clone() - Method in class marf.Configuration
clone() - Method in class marf.FeatureExtraction.FeatureExtraction: Implements Cloneable interface for the FeatureExtraction object.
clone() - Method in class marf.math.ComplexMatrix
clone() - Method in class marf.math.ComplexVector: Implements Clonable interface.
clone() - Method in class marf.math.Matrix: Implements Clonable interface.
clone() - Method in class marf.math.Vector: Implements Clonable interface.
clone() - Method in class marf.nlp.Storage.Corpus
clone() - Method in interface marf.Preprocessing.IPreprocessing: Enable cloning of preprocessing modules in accordance with the Cloneable interface.
clone() - Method in class marf.Preprocessing.Preprocessing: Implements Cloneable interface for the Preprocessing object.
clone() - Method in class marf.Stats.Ngram: Implements Cloneable interface for the Ngram object.
clone() - Method in class marf.Stats.Observation: Implements Cloneable interface for the Observation object.
clone() - Method in class marf.Stats.StatisticalObject: Implements Cloneable interface for the StatisticalObject.
clone() - Method in class marf.Stats.WordStats: Implements Cloneable interface for the WordStats object.
clone() - Method in class marf.Storage.Cluster: Implements Cloneable interface for the Cluster object.
clone() - Method in class marf.Storage.Database: Implements Cloneable interface for the Database object.
clone() - Method in class marf.Storage.FeatureSet: Implements Cloneable interface for the FeatureSet object.
clone() - Method in class marf.Storage.ModuleParams: Implements Cloneable interface for ModuleParams.
clone() - Method in class marf.Storage.Result: Implements Cloneable interface for the Result object.
clone() - Method in class marf.Storage.ResultSet: Implements Cloneable interface for the ResultSet object.
clone() - Method in class marf.Storage.Sample: Clones this sample object by copying the sample format and its data.
clone() - Method in class marf.Storage.StorageManager: Implements Cloneable for this StorageManager.
clone() - Method in class marf.Storage.TrainingSample: Implements Cloneable interface for the TrainingSample object.
clone() - Method in class marf.Storage.TrainingSet: Implements Cloneable interface for the TrainingSet object.
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: Default cluster constructor.
Cluster(Cluster) - Constructor for class marf.Storage.Cluster: Copy-constructor.
CodeGenerator - Class in marf.nlp.Parsing: Code Generator.
CodeGenerator() - Constructor for class marf.nlp.Parsing.CodeGenerator: Default constructor.
collectStatistics(double[]) - Method in class marf.Classification.Stochastic.ZipfLaw: Collects result statistics.
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
ColoredStatusBox - Class in marf.gui.util: ColoredStatusBox GUI component.
ColoredStatusBox(LayoutManager, boolean) - Constructor for class marf.gui.util.ColoredStatusBox
ColoredStatusBox(LayoutManager) - Constructor for class marf.gui.util.ColoredStatusBox
ColoredStatusBox(boolean) - Constructor for class marf.gui.util.ColoredStatusBox
ColoredStatusBox() - Constructor for class marf.gui.util.ColoredStatusBox
ColoredStatusBox(String, Color) - Constructor for class marf.gui.util.ColoredStatusBox
ColoredStatusBox(String, Color, int, int) - Constructor for class marf.gui.util.ColoredStatusBox
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: Constant for "comma".
COMMENT_SYMBOL - Static variable in class marf.util.OptionFileLoader: Comment symbol.
commit() - Method in class marf.Classification.NeuralNetwork.Layer: Applies changes made to neurons on this layer.
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(Corpus) - Method in class marf.nlp.Storage.Corpus: Compares this corpus to another one and report the differences in terms of lexeme tokens.
compare(Object, Object) - Method in class marf.util.comparators.FrequencyComparator: Implementation of the Comparator interface for the StatisticalObjects.
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.
COMPARE_CASE_INSENSITIVE - Static variable in class marf.nlp.Storage.Corpus: Case is not altered, but internal casing is ignored.
COMPARE_CASE_SENSITIVE - Static variable in class marf.nlp.Storage.Corpus
COMPARE_LOWER_CASE - Static variable in class marf.nlp.Storage.Corpus: Lowercased prior action.
COMPARE_UPPER_CASE - Static variable in class marf.nlp.Storage.Corpus: Uppercased prior action.
compareTo(Object) - Method in class marf.nlp.Storage.Corpus
compile(String[]) - Method in class marf.nlp.Parsing.Compiler: Main compilation method.
compileGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Compiles grammar.
compileGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler: Compiles probabilistic grammar.
Compiler - Class in marf.nlp.Parsing: General Compiler Class.
Compiler() - Constructor for class marf.nlp.Parsing.Compiler: Default 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: Wraps the parameter exception into CompilerError.
CompilerError(String) - Constructor for exception marf.nlp.Parsing.CompilerError: Creates a CompilerError with a custom error message string.
CompilerError(String, Exception) - Constructor for exception marf.nlp.Parsing.CompilerError: Wraps the parameter exception into CompilerError with a custom error message string.
ComplexMatrix - Class in marf.math: Similarly to Matrix, this class implements nearly identical API but for operations on matrices with complex numbers.
ComplexMatrix() - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(int, int) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(int, int, double) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(int, int, ComplexNumber) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(Matrix) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(ComplexMatrix) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(double[]) - Constructor for class marf.math.ComplexMatrix: Constructs a complex vector with zero imaginary part.
ComplexMatrix(double[], double[]) - Constructor for class marf.math.ComplexMatrix: Constructs a complex vector.
ComplexMatrix(ComplexNumber[]) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(double[], boolean) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(ComplexNumber[], boolean) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(double[][]) - Constructor for class marf.math.ComplexMatrix
ComplexMatrix(ComplexNumber[][]) - Constructor for class marf.math.ComplexMatrix
ComplexNumber - Class in marf.math: Implements complex number arithmetic.
ComplexNumber() - Constructor for class marf.math.ComplexNumber
ComplexNumber(double, double) - Constructor for class marf.math.ComplexNumber
ComplexNumber(double) - Constructor for class marf.math.ComplexNumber
ComplexNumber(ComplexNumber) - Constructor for class marf.math.ComplexNumber: Copy-constructor.
ComplexVector - Class in marf.math: Algebraic operations on ComplexVectors.
ComplexVector() - Constructor for class marf.math.ComplexVector: Constructs a ComplexVector of default length of 3.
ComplexVector(int) - Constructor for class marf.math.ComplexVector: Constructs a ComplexVector with the specified length.
ComplexVector(ComplexVector) - Constructor for class marf.math.ComplexVector: Constructs a ComplexVector from another ComplexVector; a-la copy conctructor.
ComplexVector(Matrix) - Constructor for class marf.math.ComplexVector: Constructs a ComplexVector 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.
ComplexVector(double[]) - Constructor for class marf.math.ComplexVector: Constructs a ComplexVector out of a raw array of doubles.
ComplexVector(double[], boolean) - Constructor for class marf.math.ComplexVector: Allows having a transposed ComplexVector upon construction.
compress(double[]) - Static method in class marf.Preprocessing.Preprocessing: Compresses input data by removing duplicate values.
compress() - Method in class marf.Preprocessing.Preprocessing: Compresses the instance of the stored sample by removing duplicates.
computeFirstSets() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Computes first sets for all non-terminals from the non-terminals list.
computeFollowSets() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Computes follow sets for all non-terminals from the non-terminals list.
computeTranferFunction(ComplexMatrix, ComplexMatrix, ComplexMatrix, ComplexMatrix) - Method in class marf.Preprocessing.CFEFilters.LowPassFilter
concatenate(Object[], Object[]) - Static method in class marf.util.Arrays: Concatenates two arrays of objects and returns a newly allocated array of the concatenated pieces.
concatenate(String[], String[]) - Static method in class marf.util.Arrays: Concatenates two arrays of Strings and returns a newly allocated array of the concatenated pieces.
concatenate(double[], double[]) - Static method in class marf.util.Arrays: Concatenates two arrays of doubles and returns a newly allocated array of the concatenated pieces.
concatenate(boolean[], boolean[]) - Static method in class marf.util.Arrays: Concatenates two arrays of booleans and returns a newly allocated array of the concatenated pieces.
concatenate(byte[], byte[]) - Static method in class marf.util.Arrays: Concatenates two arrays of bytes and returns a newly allocated array of the concatenated pieces.
concatenate(char[], char[]) - Static method in class marf.util.Arrays: Concatenates two arrays of characters and returns a newly allocated array of the concatenated pieces.
concatenate(int[], int[]) - Static method in class marf.util.Arrays: Concatenates two arrays of integers and returns a newly allocated array of the concatenated pieces.
concatenate(short[], short[]) - Static method in class marf.util.Arrays: Concatenates two arrays of shorts and returns a newly allocated array of the concatenated pieces.
concatenate(float[], float[]) - Static method in class marf.util.Arrays: Concatenates two arrays of floats and returns a newly allocated array of the concatenated pieces.
concatenate(long[], long[]) - Static method in class marf.util.Arrays: Concatenates two arrays of longs and returns a newly allocated array of the concatenated pieces.
Configuration - Class in marf: Encapsulates MARF configuration parameters for serialization to disk or network.
Configuration() - Constructor for class marf.Configuration
Configuration(int, int, int, int, int, String, String, ModuleParams, boolean, boolean, String, String, String, String, boolean) - Constructor for class marf.Configuration: All-fields constructor.
Configuration(Configuration) - Constructor for class marf.Configuration: Copy-constructor.
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: Similarly to contains(String) looks up the index of the specified grammar element.
containsNonTerminal(String) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Checks whether the named non-terminal is contained in this grammar and gets its index.
containsTerminal(String) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Checks whether the named terminal is contained in this grammar and gets its index.
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.
copyright() - Static method in class test: Display copyright information.
CorporaStorageManager - Class in marf.nlp.Storage
CorporaStorageManager() - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(String) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Object) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Serializable) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Serializable, String) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Object, String) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(String, boolean) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Object, boolean) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Serializable, boolean) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Object, String, boolean) - Constructor for class marf.nlp.Storage.CorporaStorageManager
CorporaStorageManager(Serializable, String, boolean) - Constructor for class marf.nlp.Storage.CorporaStorageManager
Corpus - Class in marf.nlp.Storage: Corpus container bean.
Corpus() - Constructor for class marf.nlp.Storage.Corpus
COSINE_SIMILARITY_MEASURE - Static variable in class marf.MARF: Indicates to use the cosine similarity measure classifier.
CosineSimilarityMeasure - Class in marf.Classification.Similarity: Cosine Similarity Measure Classifier.
CosineSimilarityMeasure(IFeatureExtraction) - Constructor for class marf.Classification.Similarity.CosineSimilarityMeasure: Distance Constructor.
create(Integer, IFeatureExtraction) - Static method in class marf.Classification.ClassificationFactory: Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.
create(int, IFeatureExtraction) - Static method in class marf.Classification.ClassificationFactory: Instantiates a Classification module indicated by the first parameter with the 2nd parameter as an argument.
create(Integer, IPreprocessing) - Static method in class marf.FeatureExtraction.FeatureExtractionFactory: Instantiates a FeatureExtraction module indicated by the first parameter with the 2nd parameter as an argument.
create(int, IPreprocessing) - Static method in class marf.FeatureExtraction.FeatureExtractionFactory: Instantiates a FeatureExtraction module indicated by the first parameter with the 2nd parameter as an argument.
create(String) - Method in class marf.nlp.Parsing.SymbolTable: Creates child symbol table with a given name.
create(Integer, Sample) - Static method in class marf.Preprocessing.PreprocessingFactory: Instantiates a Preprocessing module indicated by the first parameter with the 2nd parameter as an argument.
create(int, Sample) - Static method in class marf.Preprocessing.PreprocessingFactory: Instantiates a Preprocessing module indicated by the first parameter with the 2nd parameter as an argument.
create(Integer) - Static method in class marf.Storage.SampleLoaderFactory: Instantiates a SampleLoader module indicated by the first parameter with the 2nd parameter as an argument.
create(int) - Static method in class marf.Storage.SampleLoaderFactory: Instantiates a SampleLoader module indicated by the first parameter with the 2nd parameter as an argument.
create() - Method in interface marf.util.IMARFException
create(String) - Method in interface marf.util.IMARFException
create(Exception) - Method in interface marf.util.IMARFException
create(String, Exception) - Method in interface marf.util.IMARFException
create() - Method in exception marf.util.MARFException
create(Exception) - Method in exception marf.util.MARFException
create(String) - Method in exception marf.util.MARFException
create(String, Exception) - Method in exception marf.util.MARFException
createClassificationException() - Static method in class marf.util.ExceptionFactory
createClassificationException(String) - Static method in class marf.util.ExceptionFactory
createClassificationException(String, Exception) - Static method in class marf.util.ExceptionFactory
createClassificationException(Exception) - Static method in class marf.util.ExceptionFactory
createEOFTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Creates and end-of-file indicator terminal.
createEOFToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Creates an EOF token as the current token.
createEpsilonToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Creates an instance of an empty (epsilon) token.
createEpsilonToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler: Overridden not to create epsilon tokens for probabilistic grammars.
createGrammarAnalyzer() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Instantiates grammar analyzer.
createGrammarAnalyzer() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler: Instantiates ProbabilisticGrammarAnalyzer with the current grammar.
createLinks(Node) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: DOM tree traversal -- create input and output links.
createMARFException() - Static method in class marf.util.ExceptionFactory: Creates an instance of the MARFException object.
createMARFException(String) - Static method in class marf.util.ExceptionFactory: Creates an instance of the MARFException object with a custom message.
createMARFException(String, Exception) - Static method in class marf.util.ExceptionFactory: Creates an instance of the MARFException object with a custom message and an exception object.
createMARFException(Exception) - Static method in class marf.util.ExceptionFactory: Creates an instance of the MARFException object.
createMARFRuntimeException() - Static method in class marf.util.ExceptionFactory
createMARFRuntimeException(String) - Static method in class marf.util.ExceptionFactory
createMARFRuntimeException(String, Exception) - Static method in class marf.util.ExceptionFactory
createMARFRuntimeException(Exception) - Static method in class marf.util.ExceptionFactory
createNextNonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Creates the next non-terminal of a rule from the upcoming token.
createNextToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Creates next grammar token from the stream of characters.
createNextToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer: Creates an instance of the next token in the grammar token stream given integer token type.
createOrdinaryToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Creates an ordinary keyword, punctuation, operator, bracket, or lexical error tokens.
createProbabilityToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer: Creates a probabilistic token type as a part of the grammar.
createRule() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Creates an embryo of a rule given the LHS non-terminal and the rule operator `::='.
createRule() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarCompiler: Overridden to take into account the probability of grammar productions.
createToken(String, TokenSubType) - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Creates an instance of a Token data structure provided its type and lexeme, and location is calculated dynamically by the StreamTokenizer.
createWordToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Creates a general word token for keywords, errors, semantic tokens, etc.
createWordToken() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticGrammarAnalyzer: Creates word tokens for keywords, identifiers, non-terminals and dictionary words.
crop(int, int, int, int) - Method in class marf.math.ComplexMatrix
crop(int, int, int, int) - Method in class marf.math.Matrix: A general routine that allows arbitrary cropping of a matrix.
crop(double[], int, int, int, int, int, int) - Static method in class marf.math.Matrix
Crop - Class in marf.Preprocessing.Dummy: Designed to be a general "cropper".
Crop() - Constructor for class marf.Preprocessing.Dummy.Crop
Crop(IPreprocessing) - Constructor for class marf.Preprocessing.Dummy.Crop
Crop(Sample) - Constructor for class marf.Preprocessing.Dummy.Crop
cropAudio(double, double) - Method in class marf.Preprocessing.Dummy.Raw: Raw implementation of cropAudio() for testing.
cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.BandpassFilter: Stub implementation of cropAudio().
cropAudio(double, double) - Method in class marf.Preprocessing.FFTFilter.BandStopFilter: 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: Constant for "closed curly brace".
CURLY_OP - Static variable in class marf.nlp.Parsing.TokenSubType: Constant for "open curly brace".
CUSTOM - Static variable in class marf.MARF: Custom (plug-in) sample format.
CUSTOM - Static variable in class marf.Storage.MARFAudioFileFormat: Custom (plug-in) sample format.
CUSTOM - Static variable in class marf.Storage.MARFAudioFileFormat.Type: Specifies custom plug-in file.
cutColumn(int) - Method in class marf.math.Matrix: Shrinks a matrix by removing a specified column from it.
cutFirstColumn() - Method in class marf.math.Matrix
cutFirstRow() - Method in class marf.math.Matrix
cutLastColumn() - Method in class marf.math.Matrix
cutLastRow() - Method in class marf.math.Matrix
cutRow(int) - Method in class marf.math.Matrix: Cuts a specified row away from the matrix.

D

dAllowedError - Variable in class marf.Classification.Distance.HammingDistance
Database - Class in marf.Storage: Subject database.
Database() - Constructor for class marf.Storage.Database: Default constructor with the StorageManager.
dBoostCoefficient - Variable in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Current boost coefficient.
dDelta - Variable in class marf.Classification.NeuralNetwork.Neuron: Used in error calculation.
dDelta - Variable in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta: Default is 0.5: Expected Likelihood Estimation (ELE).
Debug - Class in marf.util: Simple MARF 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 preceded by the class name.
debug(Class, Object) - Static method in class marf.util.Debug: Issues a debug message if the flag is on with a trailing EOL preceded by the class name.
debug() - Static method in class marf.util.Debug: Issues an empty debug message if the flag is on with a trailing EOL.
DEFAULT_ALLOWED_ERROR - Static variable in class marf.Classification.Distance.DiffDistance: Default allowed difference between two features of 0.0001.
DEFAULT_ALLOWED_ERROR - Static variable in class marf.Classification.Distance.HammingDistance: Default allowed difference between two features of 0.01.
DEFAULT_BUFFER_SIZE - Static variable in class marf.Storage.ByteArrayFileReader: Default size of each buffer in bytes.
DEFAULT_CHANNELS - Static variable in interface marf.Storage.ISampleLoader: Mono.
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.Preprocessing.CFEFilters.CFEFilter
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_CONFIG_FILE_NAME - Static variable in class marf.util.OptionFileLoader: Default config file name.
DEFAULT_CROP_CHUNK_SIZE - Static variable in class marf.Preprocessing.Dummy.Crop: Default amount of elements to keep in the resulting array.
DEFAULT_DEBUG_LOG_FILENAME - Static variable in class marf.util.Debug: Default filename to log the debug output to.
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_ERROR_FILE - Static variable in class marf.nlp.Parsing.GenericLexicalAnalyzer: Default filename for the error log.
DEFAULT_ERROR_LOG_FILE - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Default filename to log lexical errors.
DEFAULT_FIRST_SETS_FILE - Static variable in class marf.nlp.Parsing.GrammarCompiler.Grammar: Default filename to output first sets.
DEFAULT_FOLLOW_SETS_FILE - Static variable in class marf.nlp.Parsing.GrammarCompiler.Grammar: Default filename to output follow sets.
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_GOOD_TURING_THRESHOLD - Static variable in class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring: The default threshold value of 5.
DEFAULT_GRAMMAR_FILE - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Default filename for a grammar file.
DEFAULT_HIGH_FREQUENCY_CUTOFF - Static variable in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Create a response that boosts all frequencies above 1000 Hz.
DEFAULT_LABEL - Static variable in class marf.gui.util.ColoredStatusBox
DEFAULT_MIN_ERROR - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: Default minimum training error of 0.1 if none supplied.
DEFAULT_NUMBER_OF_BUFFERS - Static variable in class marf.Storage.ByteArrayFileReader: Default number of reserved buffers.
DEFAULT_OUTPUT_FILE - Static variable in class marf.nlp.Parsing.GenericLexicalAnalyzer: Default filename for the output.
DEFAULT_OUTPUT_NEURON_BITS - Static variable in class marf.Classification.NeuralNetwork.NeuralNetwork: How many binary Neurons in the output layer.
DEFAULT_OUTPUT_PAGE_SIZE - Static variable in class marf.Classification.Stochastic.ZipfLaw: Default number of entries display/output per page.
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_RULES_FILE - Static variable in class marf.nlp.Parsing.GrammarCompiler.Grammar: Default filename to output rule productions.
DEFAULT_SAMPLE_BIT_SIZE - Static variable in interface marf.Storage.ISampleLoader: Default number of bits per amplitude.
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_SCAN_LOG_FILE - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Default filename to log scan output.
DEFAULT_SILENCE_THRESHOLD - Static variable in class marf.Preprocessing.Preprocessing: Default amplitude value and below to what consider as a silence.
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_STEP_SIZE - Static variable in class marf.Preprocessing.CFEFilters.CFEFilter
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.ComplexVector: Default ComplexVector's length is 3 elements.
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.
delete(String) - Method in class marf.nlp.Parsing.SymbolTable: Not implemented.
DESCENDING - Static variable in class marf.util.SortComparator: Constant indicating to sort in the descending order.
dHighFrequencyCutoff - Variable in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Current high frequency cut off.
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.
dImaginary - Variable in class marf.math.ComplexNumber
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.HammingDistance: Hamming Distance 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(ComplexMatrix, ComplexMatrix) - Static method in class marf.math.ComplexMatrix
divide(Matrix, ComplexMatrix) - Static method in class marf.math.ComplexMatrix
divide(ComplexMatrix, Matrix) - Static method in class marf.math.ComplexMatrix
divide(ComplexNumber) - Method in class marf.math.ComplexMatrix: Divides the matrix by a complex scalar: this = this / Z.
divide(double) - Method in class marf.math.ComplexMatrix
divide(ComplexNumber, ComplexNumber) - Static method in class marf.math.ComplexNumber: C3 = C1 / C2.
divide(ComplexNumber) - Method in class marf.math.ComplexNumber: this = this / C.
divide(Matrix, double) - Static method in class marf.math.Matrix: M = M / d.
divide(Matrix, Matrix) - Static method in class marf.math.Matrix
divide(double) - Method in class marf.math.Matrix: this = this / d.
dMax - Variable in class marf.gui.Spectrogram: Current maximum.
dMin - Variable in class marf.gui.Spectrogram: Current minimum.
dNumericalValue - Variable in class marf.nlp.Parsing.Token: Numerical value associated with the token to be mapped to StreamTokenizer.nval
DO - Static variable in class marf.nlp.Parsing.TokenSubType: Constant for keyword "do".
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)).
doFFT2(ComplexMatrix, ComplexMatrix, int) - Static method in class marf.math.Algorithms.FFT: Performs 2D FFT; which is merely 1D FFT for every column, and then, 1D FFT of every row of the result.
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: Probability of the observation after it was observed.
dPriorProbability - Variable in class marf.Stats.Observation: Probability of the observation of happening prior it actually being observed.
dProbability - Variable in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule: Probability of the rule.
dReal - Variable in class marf.math.ComplexNumber
dResult - Variable in class marf.Classification.NeuralNetwork.Neuron: Current Neuron's result.
dSilenceThreshold - Variable in class marf.Preprocessing.Preprocessing: Current silence removal threshold.
dThreshold - Variable in class marf.Classification.NeuralNetwork.Neuron: Activation threshold.
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() - Constructor for class marf.Preprocessing.Dummy.Dummy: Default constructor for reflective creation of Preprocessing clones.
Dummy(IPreprocessing) - 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 or serialized file.
dump() - Method in class marf.Classification.RandomClassification.RandomClassification: Dumps "training set" of IDs.
dump() - Method in class marf.Classification.Stochastic.MaxProbabilityClassifier: An object must know how dump itself or its data structures to a file.
dump() - Method in class marf.Classification.Stochastic.ZipfLaw: An object must know how dump itself or its data structures to a file.
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_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: Dumps back-pointers to the STDOUT.
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.Classification.Stochastic.ZipfLaw: Implements CSV dump through the dumpGraphValues() method.
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(BufferedWriter) - Method in class marf.Storage.Cluster: Write one training cluster as a CSV text.
dumpCSV() - Method in class marf.Storage.FeatureSet: Dump the current training set to disk.
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.
dumpCSV() - Method in class marf.Storage.TrainingSet
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: Dumps parse matrix to the STDOUT.
dumpParseTree() - Method in class marf.nlp.Parsing.ProbabilisticParser: Dumps parse tree to the STDOUT.
dumpParseTree(int, int, int, int) - Method in class marf.nlp.Parsing.ProbabilisticParser: Dumps a parse sub-tree to to the STDOUT 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.Classification.NeuralNetwork.NeuralNetwork: Overrides the default implementation of dumpXML().
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.
dXmax - Variable in class marf.gui.WaveGrapher: Range of data for the X axis -- Maximum.
dXmin - Variable in class marf.gui.WaveGrapher: Range of data for the X axis -- Minimum.

E

EAST - Static variable in class marf.math.Matrix.Direction: Indicates East direction.
ELE - Static variable in interface marf.MARF.EStatisticalEstimators: Indicates to use ELE estimator/smoothing.
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: Constant for keyword "else".
enableCompression(boolean) - Method in class marf.Preprocessing.Endpoint.Endpoint: Enables or disables sample compression prior endpoints extraction.
enableDebug(boolean) - Static method in class marf.util.Debug: Enables or disables debugging based on the parameter.
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.
enableEdgeEndpoints(boolean) - Method in class marf.Preprocessing.Endpoint.Endpoint: Enables or disables consideration of the sample edges as endpoints.
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: Implements endpoint preprocessing in MARF.
Endpoint() - Constructor for class marf.Preprocessing.Endpoint.Endpoint: Default constructor for reflective creation of Preprocessing clones.
Endpoint(IPreprocessing) - 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.
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.
EPSILON - Static variable in class marf.nlp.Parsing.GrammarCompiler.GrammarTokenType: This indicates the epsilon in the grammar tokens.
equals(Matrix) - Method in class marf.math.ComplexMatrix
equals(Object) - Method in class marf.math.ComplexNumber: Two complex numbers are equal if and only if their real parts are equal and their imaginary parts are equal.
equals(Matrix) - Method in class marf.math.Matrix: this == M.
equals(Matrix, Matrix) - Static method in class marf.math.Matrix: M1 == M2.
equals(Object) - Method in class marf.math.Matrix
equals(Object) - Method in class marf.nlp.Storage.Corpus
equals(Object) - Method in class marf.Stats.StatisticalObject: Checks equality of two StatisticalObjects whether the parameter is not null and its toString()'s output is equal to this one.
equals(Object) - Method in class marf.Storage.Sample: Checks if the parameter is equal to this object.
equals(Object) - Method in class marf.Storage.StorageManager: Checks equality of two storage managers whether the parameter is not null and its toString() output is equal to this one.
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().
ERR_AGGR_MODULES_FAILED - Static variable in class marf.FeatureExtraction.FeatureExtractionAggregator: Error indicating the fact that one or more aggregated modules failed.
ERR_ASSIGN_TYPE_MISMATCH - Static variable in exception marf.nlp.Parsing.SemanticError: Type mismatch in the assignment.
ERR_BAD_REAL - Static variable in exception marf.nlp.Parsing.LexicalError: Badly formed real number.
ERR_CUSTOM - Static variable in exception marf.nlp.Parsing.LexicalError: Custom error message as alternative to 'unknown'.
ERR_CUSTOM - Static variable in exception marf.nlp.Parsing.SemanticError: Custom error message as alternative to 'unknown'.
ERR_CUSTOM - Static variable in exception marf.nlp.Parsing.SyntaxError: Custom error message as alternative to 'unknown'.
ERR_EXPR_TYPE_MISMATCH - Static variable in exception marf.nlp.Parsing.SemanticError: Type mismatch in an expression.
ERR_EXTRA_CLOSING_COMMENT - Static variable in exception marf.nlp.Parsing.LexicalError: Mismatched comment.
ERR_GENERAL_SYNTAX_ERROR - Static variable in exception marf.nlp.Parsing.SyntaxError: General Syntax Error.
ERR_INVALID_CHAR - Static variable in exception marf.nlp.Parsing.LexicalError: Character encountered is not part of the MARF's alphabet.
ERR_INVALID_NUMBER_FORMAT - Static variable in exception marf.nlp.Parsing.LexicalError: Invalid number format.
ERR_LEADING_ZEROS - Static variable in exception marf.nlp.Parsing.LexicalError: Leading zeros are not allowed in numbers.
ERR_MALFORMED_PARAMS - Static variable in class marf.FeatureExtraction.FeatureExtractionAggregator: Error message for no malformed ModuleParams data structure.
ERR_MISMATCHED_PARENS - Static variable in exception marf.nlp.Parsing.SyntaxError: Mismatched Parenthesis Error.
ERR_MISSING_SEMICOLON - Static variable in exception marf.nlp.Parsing.SyntaxError: Unterminated statement or declaration.
ERR_MULT_DEF_SYM - Static variable in exception marf.nlp.Parsing.SemanticError: Symbol defined multiple times.
ERR_NO_FEATURES - Static variable in class marf.FeatureExtraction.FeatureExtractionAggregator: A rare error when all feature extractors ran, but there were a total of zero features extracted.
ERR_NO_MODULES - Static variable in class marf.FeatureExtraction.FeatureExtractionAggregator: Error message for no modules found.
ERR_NO_PROGRAM - Static variable in exception marf.nlp.Parsing.SyntaxError: No "main()" program Error.
ERR_PARAM_TYPE_MISMATCH - Static variable in exception marf.nlp.Parsing.SemanticError: Mismatch of types of parameters in a function call.
ERR_TRAILING_ZEROS - Static variable in exception marf.nlp.Parsing.LexicalError: Not meaningful trailing zeros aren't allowed.
ERR_UNDEF_SYM - Static variable in exception marf.nlp.Parsing.SemanticError: Undefined Symbol.
ERR_UNEXPECTED_EOF - Static variable in exception marf.nlp.Parsing.LexicalError: Unexpected EOF and no ending comment.
error(SAXParseException) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork.NeuralNetworkErrorHandler: Issues a SAX error.
ERROR - Static variable in class marf.nlp.Parsing.TokenType: This indicates an error in the token.
errorOut(String, boolean) - Static method in class marf.Version: Just a helper method for code reuse to throw an exception with the version validation error message given parameters.
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.Layer: Evaluates the layer by evaluating each neuron in it.
eval() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Evaluates the entire neural network.
eval() - Method in class marf.Classification.NeuralNetwork.Neuron: Evaluates current neuron's value.
ExceptionFactory - Class in marf.util: Factory for producing various MARF exception objects.
ExceptionFactory() - Constructor for class marf.util.ExceptionFactory: Factories are often singletons, so technically, this constructor should be private and the getInstance() method should be present.
ExceptionUtils - Class in marf.util: Common exception utility methods used by all the branches of the MARF Exceptions hierarchy.
ExceptionUtils() - Constructor for class marf.util.ExceptionUtils: Allow inheritance, but other than that, no need to instantiate as all methods in here are presumed to be static.
exhaustMatrix() - Method in class marf.math.ComplexMatrix
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 existence of the file in the training set.
existsFilename(String) - Method in interface marf.Storage.ITrainingSample: Checks existence of the file in the training sample.
existsFilename(String) - Method in class marf.Storage.TrainingSample
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.
extend(Matrix, Matrix.Direction) - Method in class marf.math.ComplexMatrix
extend(Matrix) - Method in class marf.math.Matrix: Extends this matrix by another (by gluing 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 gluing two matrices together) given the extension direction.
extend(double[], int, int, double[], int, int, Matrix.Direction) - Static method in class marf.math.Matrix: Refactors matrix array extension to operate on raw arrays.
extractFeatures(double[]) - Method in class marf.FeatureExtraction.Cepstral.Cepstral: Not Implemented.
extractFeatures(double[]) - Method in class marf.FeatureExtraction.F0.F0: Not Implemented.
extractFeatures() - Method in class marf.FeatureExtraction.FeatureExtraction: Provides default implementation of the API by using the sample data provided by the IPreprocessing module.
extractFeatures() - Method in class marf.FeatureExtraction.FeatureExtractionAggregator: Implementation of the feature extraction interface.
extractFeatures(double[]) - Method in class marf.FeatureExtraction.FeatureExtractionAggregator: Implementation of the feature extraction interface.
extractFeatures() - Method in class marf.FeatureExtraction.FFT.FFT: FFT Implementation of extractFeatures().
extractFeatures(double[]) - Method in class marf.FeatureExtraction.FFT.FFT: Extracts features from the provided sample array.
extractFeatures() - Method in interface marf.FeatureExtraction.IFeatureExtraction: Abstract feature extraction routine.
extractFeatures(double[]) - Method in interface marf.FeatureExtraction.IFeatureExtraction: Abstract feature extraction routine.
extractFeatures(double[]) - Method in class marf.FeatureExtraction.LPC.LPC: LPC Implementation of extractFeatures().
extractFeatures(double[]) - Method in class marf.FeatureExtraction.MinMaxAmplitudes.MinMaxAmplitudes: MinMaxAmplitudes implementation of extractFeatures().
extractFeatures() - Method in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction: Random Gaussian-based feature extraction.
extractFeatures(double[]) - Method in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction: Extracts features from the provided sample array.
extractFeatures(double[]) - Method in class marf.FeatureExtraction.RawFeatureExtraction.RawFeatureExtraction
extractFeatures(double[]) - Method in class marf.FeatureExtraction.Segmentation.Segmentation: Not Implemented.
extractFeaturesImplementation(double[]) - Method in class marf.FeatureExtraction.FeatureExtractionAggregator: Performs the actual business logic of the aggregator per described algorithm.
extractFeaturesImplementation(Sample) - Method in class marf.FeatureExtraction.FFT.FFT: Does the actual business logic of the FFT feature extraction.
extractFeaturesImplementation(Sample) - Method in class marf.FeatureExtraction.RandomFeatureExtraction.RandomFeatureExtraction: Does the actual business logic of the random Gaussian feature extraction.
extractParameters() - Method in class marf.Preprocessing.Preprocessing: Performs general preprocessing module parameters extraction.

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.
fatalError(SAXParseException) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork.NeuralNetworkErrorHandler: Issues a SAX fatal error.
FEATURE_EXTRACTION - Static variable in class marf.Storage.ModuleParams: Indicates that we manipulate on the Feature Extraction Vector.
FEATURE_EXTRACTION_AGGREGATOR - Static variable in class marf.MARF: Indicates to use an aggregation of several feature extraction modules.
FEATURE_EXTRACTION_PLUGIN - Static variable in class marf.MARF: Indicates to employ user-defined feature extraction plug-in.
FeatureExtraction - Class in marf.FeatureExtraction: Generic Feature Extraction Module.
FeatureExtraction(IPreprocessing) - Constructor for class marf.FeatureExtraction.FeatureExtraction: Main FeatureExtraction constructor.
FeatureExtractionAggregator - Class in marf.FeatureExtraction: This class by itself does not do any feature extraction, but instead allows concatenation of the results of several actual feature extractors to be combined in a single result.
FeatureExtractionAggregator(IPreprocessing) - Constructor for class marf.FeatureExtraction.FeatureExtractionAggregator: Implementation of the feature extraction interface.
FeatureExtractionAggregator.FeatureExtractionThread - Class in marf.FeatureExtraction: A feature extraction thread simply calls its concrete encapsulated feature extraction module and collects any results or errors from its run.
FeatureExtractionAggregator.FeatureExtractionThread(IFeatureExtraction, ExpandedThreadGroup) - Constructor for class marf.FeatureExtraction.FeatureExtractionAggregator.FeatureExtractionThread: Constructs a feature extraction thread with a given module.
FeatureExtractionAggregator.FeatureExtractionThread(IFeatureExtraction, ExpandedThreadGroup, double[]) - Constructor for class marf.FeatureExtraction.FeatureExtractionAggregator.FeatureExtractionThread: Constructs a feature extraction thread with a given module and sample data from external source.
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.
FeatureExtractionFactory - Class in marf.FeatureExtraction: Provides a factory to instantiate requested feature extraction module(s).
FeatureExtractionFactory() - Constructor for class marf.FeatureExtraction.FeatureExtractionFactory: Disallow instances of this factory as deemed useless.
FeatureSet - Class in marf.Storage: FeatureSet -- Encapsulates subject's feature vectors.
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() - Constructor for class marf.Preprocessing.FFTFilter.FFTFilter: Default constructor for reflective creation of Preprocessing clones.
FFTFilter(IPreprocessing) - 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().
fillInTransitionTable() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Fills in TransitionalTable data structure.
fillRandom(double[]) - Static method in class marf.util.Arrays: Sets all elements of the parameter at pseudo-random order.
filter(double[], double[]) - Method in class marf.Preprocessing.CFEFilters.CFEFilter
filter(double[][], double[][]) - Method in class marf.Preprocessing.CFEFilters.CFEFilter
filter(double[][][], double[][][]) - Method in class marf.Preprocessing.CFEFilters.CFEFilter
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.
filter(double[][], double[][]) - Method in class marf.Preprocessing.FFTFilter.FFTFilter: Applies single-dimensional filtering to every row of the matrix.
filter(double[][][], double[][][]) - Method in class marf.Preprocessing.FFTFilter.FFTFilter: Applies two-dimensional filtering to every plane of the matrix.
Filter - Class in marf.Preprocessing: Filter class implements generic filtering.
Filter() - Constructor for class marf.Preprocessing.Filter: Default constructor for reflective creation of Preprocessing clones.
Filter(IPreprocessing) - Constructor for class marf.Preprocessing.Filter: Pipelined constructor.
Filter(Sample) - Constructor for class marf.Preprocessing.Filter: Filter Constructor.
filter(double[], double[]) - Method in interface marf.Preprocessing.IFilter: Applies filtering to the sample array and buffers the filtered data.
filter(double[][], double[][]) - Method in interface marf.Preprocessing.IFilter: Applies 2D filtering to the sample array and buffers the filtered data.
filter(double[][][], double[][][]) - Method in interface marf.Preprocessing.IFilter: Applies 3D filtering to the sample array and buffers the filtered data.
FILTER_DIMENSIONALITY_1D - Static variable in interface marf.Preprocessing.IFilter: Indicates 1-D filter.
FILTER_DIMENSIONALITY_2D - Static variable in interface marf.Preprocessing.IFilter: Indicates 2-D filter.
FILTER_DIMENSIONALITY_3D - Static variable in interface marf.Preprocessing.IFilter: Indicates 3-D filter.
finalize() - Method in class marf.nlp.Storage.Corpus
forFormatCode(int) - Static method in class marf.Storage.MARFAudioFileFormat.Type: Given valid format code returns the corresponding Type instance.
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: Compares StatisticalObjects by their frequency when sorting.
FrequencyComparator(int) - Constructor for class marf.util.comparators.FrequencyComparator: Constructs a frequency comparator with the specified sort mode.
fRequiredFrequency - Variable in class marf.Storage.SampleLoader: Current frequency.
FuncSymTabEntry - Class in marf.nlp.Parsing: FuncSymTabEntry represents a symbol table entry for function definition.
FuncSymTabEntry() - Constructor for class marf.nlp.Parsing.FuncSymTabEntry: Constructor.
FUNCTION - Static variable in class marf.nlp.Parsing.SymDataType: Function data type of the symbol.
FUNCTION - Static variable in class marf.nlp.Parsing.SymTabEntry: Function entry type.

G

genAdd() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genAnd() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genClass() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genDivide() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
generate() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Generates the initial network at random with the default parameters.
generate(int, int[], int) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Generates a virgin net at random.
generateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.BandpassFilter: Creates band-pass frequency response coefficients and sets applies them to the frequency response vector.
generateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.BandStopFilter: Creates band-pass frequency response coefficients and sets applies them to the frequency response vector.
generateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.FFTFilter: Creates frequency response coefficients and sets applies them to the frequency response vector.
generateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Creates high-frequency boost response coefficients and sets applies them to the frequency response vector.
generateResponseCoefficients() - Method in class marf.Preprocessing.FFTFilter.HighPassFilter: Creates high-pass frequency response coefficients and sets applies them to the frequency response vector.
generateResponseCoefficients() - 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: Generic Lexical Analyzer.
GenericLexicalAnalyzer(SymbolTable) - Constructor for class marf.nlp.Parsing.GenericLexicalAnalyzer: Constructor with symbol table.
genFunction() - Static method in class marf.nlp.Parsing.CodeGenerator: Not implemented.
genMain() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genMultiply() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genNot() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genOr() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genRead() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genReturn() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genSubs() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genVar() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genWhile() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
genWrite() - Static method in class marf.nlp.Parsing.CodeGenerator: Default constructor.
get(int) - Method in class marf.Classification.NeuralNetwork.Layer: Allows getting a neuron object given index.
get(int) - Method in class marf.util.FreeVector: Access an element of the vector given index.
getActiveOptions() - Method in interface marf.util.IOptionProvider
getActiveOptions() - Method in class marf.util.OptionFileLoader
getActiveOptions() - Method in class marf.util.OptionProcessor: Allows querying for the set of active options.
getArgumentString() - Method in interface marf.util.IOptionProvider
getArgumentString() - Method in class marf.util.OptionFileLoader
getArgumentString() - Method in class marf.util.OptionProcessor: Returns active and invalid options (in that order) in a form suitable to feed back as an argument string to an external application.
getArgumentVector() - Method in interface marf.util.IOptionProvider
getArgumentVector() - Method in class marf.util.OptionFileLoader
getArgumentVector() - Method in class marf.util.OptionProcessor: Returns active and invalid options (in that order) in a form suitable to feed back as an argument vector argv to another application's main().
getArrayDimension() - Method in class marf.nlp.Parsing.VarSymTabEntry: Allows getting the dimensionality of the array.
getAudioFileFormatCode() - Method in class marf.Storage.Sample: Retrieves current sample's format.
getAudioFormat() - Method in class marf.Storage.Loaders.AudioSampleLoader
getAudioFormat() - Method in class marf.Storage.MARFAudioFileFormat: Retrieves current sample's format.
getAudioFormat() - Method in class marf.Storage.Sample: Retrieves current sample's audio format data.
getAudioInputStream() - Method in class marf.Storage.Loaders.AudioSampleLoader
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.
getBoostCoefficient() - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Retrieves the current boost coefficient value.
getBusted() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Dies on unexpected grammar token type.
getCapacity() - Method in class marf.Stats.Ngram: Allows querying for the current capacity of the N-gram (how many elements are actually there).
getCardinality() - Method in class marf.util.Matrix: Retrieves current number of dimensions of the matrix.
getCaseSensitivity() - Method in class marf.nlp.Storage.Corpus
getChunkSize() - Method in class marf.FeatureExtraction.FFT.FFT: Allows getting the current chunk size.
getClassification() - Static method in class marf.MARF: Retrieves current Classification reference.
getClassificationMethod() - Method in class marf.Configuration
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.
getClassificationPluginClass() - Method in class marf.Configuration
getClassificationPluginClass() - Static method in class marf.MARF: Allows querying for the current classification plug-in class.
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.
getColumn(int) - Method in class marf.math.Matrix
getComplexColumn(int) - Method in class marf.math.ComplexMatrix
getComplexDeterminant() - Method in class marf.math.ComplexMatrix: Calculates complex determinant of this matrix using Laplace's formula.
getComplexElement(int, int) - Method in class marf.math.ComplexMatrix: Retrieves complex matrix element's value given row and column.
getComplexElement(int) - Method in class marf.math.ComplexVector
getComplexMatrix(Matrix) - Static method in class marf.math.ComplexMatrix: Converts a real matrix into complex by making a copy.
getComplexNumber(int) - Method in class marf.math.ComplexMatrix
getComplexRow(int) - Method in class marf.math.ComplexMatrix
getConfig() - Static method in class marf.MARF: Returns a string representation of the current MARF configuration.
getConfiguration() - Static method in class marf.MARF: Allows querying for the current MARF configuration.
getConfigurationSetting(String) - Method in class marf.util.OptionFileLoader: Allows retrieving setting by a key.
getCropChunkSize() - Method in class marf.Preprocessing.Dummy.Crop
getCropRight() - Method in class marf.Preprocessing.Dummy.Crop
getCropStart() - Method in class marf.Preprocessing.Dummy.Crop
getCrossProduct(ComplexVector, ComplexVector) - Static method in class marf.math.ComplexVector: Calculates the cross product of two ComplexVectors, V3 = V1 x V2.
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 current error code property.
getCurrentStatus() - Method in class marf.gui.util.ColoredStatusPanel
getCurrentSubject() - Method in class marf.Configuration
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 anything other than FUNCTION.
getDataType() - Method in class marf.nlp.Parsing.SymTabEntry: Allows querying current data type of the entry.
getDataVector() - Method in interface marf.Storage.ITrainingSample: Retrieves the data vector.
getDataVector() - Method in class marf.Storage.TrainingSample
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.
getDefaultFilename() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Generates typical filename for dump/restore.
getDeletes() - Method in class marf.nlp.Storage.Corpus
getDelta() - Method in class marf.Stats.StatisticalEstimators.Smoothing.AddDelta: Allows querying for the current value of delta.
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 current direction.
getDotProduct(ComplexVector, ComplexVector) - Static method in class marf.math.ComplexVector: Calculates the dot product of two ComplexVectors, d = V1 * V2.
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.
getDoubleVersion() - Static method in class marf.Version: 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) - Method in class marf.math.ComplexVector: Allows getting the value of ComplexVector's element at specified position.
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.
getEncoding() - Method in class marf.Storage.Loaders.AudioSampleLoader
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.GrammarCompiler.Grammar: Allows querying for the current EOF terminal.
getEOFTerminal() - Method in class marf.nlp.Parsing.TransitionTable: Allows querying for the EOF terminal.
getEpsilonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Allows querying for the current epsilon terminal.
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() - Method in class marf.Classification.Classification: Retrieves the features source.
getFeatureExtraction() - Method in interface marf.Classification.IClassification: Retrieves the features source.
getFeatureExtraction() - Method in class marf.FeatureExtraction.FeatureExtractionAggregator.FeatureExtractionThread: Allows obtaining the reference to the contained feature extraction module.
getFeatureExtraction() - Static method in class marf.MARF: Retrieves current FeatureExtraction reference.
getFeatureExtractionMethod() - Method in class marf.Configuration
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.
getFeatureExtractionPluginClass() - Method in class marf.Configuration
getFeatureExtractionPluginClass() - Static method in class marf.MARF: Allows querying for the current feature extraction plug-in class.
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.Configuration
getFilename() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator: Sets the default filename for dumps as e.g.
getFilename() - Method in class marf.Storage.StorageManager: Retrieves inner filename reference.
getFileSize() - Method in class marf.Storage.ByteArrayFileReader
getFirstSet() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Allows getting the first set of this grammar element.
getFollowSet() - Method in class marf.nlp.Parsing.GrammarCompiler.NonTerminal: Allows to query for the collection of the follow set elements of this non-terminal.
getFrequency() - Method in class marf.Stats.StatisticalObject: Retrieves the object's frequency.
getGrammar() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Allows querying for inner instance of the grammar.
getGrammarCompiler() - Method in class marf.nlp.Parsing.Parser: Allows querying for the grammar compiler used.
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: Allows querying for the filename of the grammar.
getHeight() - Method in class marf.gui.util.SmartSizablePanel
getHighFrequencyCutoff() - Method in class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Retrieves the current boost coefficient value.
getID() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Allows querying this element's ID.
getID() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule: Allows getting this rule's ID.
getID() - Method in class marf.nlp.Parsing.SymTabEntry: Gets Numeric ID of the entry.
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.
getImaginary() - Method in class marf.math.ComplexNumber: Allows querying for TODO.
getImaginaryMatrixArray() - Method in class marf.math.ComplexMatrix: Allows getting internal array represeting the imaginary matrix data.
getInnerProduct(ComplexVector, ComplexVector) - Static method in class marf.math.ComplexVector: Calculates an inner product of two ComplexVectors, V3 = V1 * V2.
getInnerProduct(Vector, Vector) - Static method in class marf.math.Vector: Calculates an inner product of two vectors, V3 = V1 * V2.
getInserts() - Method in class marf.nlp.Storage.Corpus
getInstance() - Static method in class marf.util.OptionFileLoader: Obtains singleton instance.
getIntVersion() - Static method in class marf.MARF: Returns an integer representation of the MARF version.
getIntVersion() - Static method in class marf.Version: Returns an integer representation of the MARF version.
getInvalidOptions() - Method in interface marf.util.IOptionProvider
getInvalidOptions() - Method in class marf.util.OptionFileLoader
getInvalidOptions() - Method in class marf.util.OptionProcessor: Allows querying for the set of invalid options.
getKey(String) - Method in class marf.util.OptionFileLoader: Obtains the key of the line
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
getLastException() - Method in class marf.FeatureExtraction.FeatureExtractionAggregator.FeatureExtractionThread: Allows to query for the last error happened while extracting features.
getLayerData() - Method in class marf.Classification.NeuralNetwork.Layer: Allows querying raw layer data collection.
getLength() - Method in class marf.math.ComplexVector: Retrieves the mathematical length of the ComplexVector.
getLength() - Method in class marf.math.Vector: Retrieves the mathematical length of the vector.
getLexeme() - Method in class marf.nlp.Parsing.Token: Allows accessing the lexeme property.
getLexeme() - Method in class marf.Stats.WordStats: Retrieves the lexeme of the object.
getLexer() - Method in class marf.nlp.Parsing.Parser: Allows querying for the instance of the lexer.
getLexicalErrors() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Allows querying for actual lexical errors happened during scanning.
getLexicalErrors() - Method in class marf.nlp.Parsing.LexicalAnalyzer: Returns the list of lexical errors.
getLexicalGrammarErrors() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Allows querying for the collection of lexical errors.
getLHS() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule: Allows getting current LHS non-terminal of this rule.
getLineNo() - Method in exception marf.nlp.Parsing.CompilerError: Access method for the line number property.
getLineNumber() - Method in class marf.nlp.Parsing.Token: Gets the line number component of the token's position.
getLocalSymTab() - Method in class marf.nlp.Parsing.SymTabEntry: Allows querying for the local scope symbol table (if applicable).
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.ClassificationFactory: Returns source code revision information.
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.HammingDistance: 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.Similarity.CosineSimilarityMeasure: 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 class marf.FeatureExtraction.FeatureExtractionAggregator: 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.FeatureExtractionFactory: 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 exception marf.gui.GUIException: 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 class marf.math.ComplexVector: Retrieves class' revision.
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 exception marf.nlp.NLPException: 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.BandStopFilter: 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.Filter: 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.Preprocessing.PreprocessingFactory: 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.AudioSampleLoader: 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.TextLoader: 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 class marf.Storage.SampleLoaderFactory: 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 exception marf.util.MARFRuntimeException: 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 marf.Version: Retrieves class' revision.
getMARFSourceCodeRevision() - Static method in class test: Returns source code revision information.
getMatches() - Method in class marf.nlp.Storage.Corpus
getMatrix2D() - Method in class marf.math.ComplexMatrix
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 representing the matrix data.
getMatrixCopy(Matrix) - Method in class marf.math.ComplexMatrix
getMatrixCopy(Matrix) - Method in class marf.math.Matrix
getMaximumID() - Method in class marf.Storage.ResultSet: Retrieves ID of a subject with maximum distance/probability.
getMaximumResult() - Method in class marf.Storage.ResultSet: Retrieves the result from the result set with the maximum outcome value.
getMaxWordLength() - Method in class marf.Classification.Stochastic.ZipfLaw: Allows getting the length of the longest word found (in characters).
getMeanCount() - Method in class marf.Storage.Cluster: Retrieves current mean count.
getMeanCount() - Method in class marf.Storage.FeatureSet
getMeanCount() - Method in interface marf.Storage.ITrainingSample: Retrieves current mean count.
getMeanCount() - Method in class marf.Storage.TrainingSample
getMeanVector() - Method in class marf.Storage.FeatureSet
getMeanVector() - Method in interface marf.Storage.ITrainingSample: Retrieves the mean vector.
getMeanVector() - Method in class marf.Storage.TrainingSample: Simply retrieves the data vector.
getMedianVector() - Method in class marf.Storage.FeatureSet
getMedianVector() - Method in interface marf.Storage.ITrainingSample
getMedianVector() - Method in class marf.Storage.TrainingSample: Simply retrieves the data vector.
getMessage() - Method in exception marf.util.MARFException: Returns string representation of the error message.
getMessage() - Method in exception marf.util.MARFRuntimeException: 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.
getMinWordLength() - Method in class marf.Classification.Stochastic.ZipfLaw: Allows getting the length of the smallest word found (in characters).
getModifications() - Method in class marf.nlp.Storage.Corpus
getModuleParams() - Method in class marf.Configuration
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: Allows querying this element's name.
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.
getNeuron(String) - Method in class marf.Classification.NeuralNetwork.Layer: Returns the Neuron called by its name string.
getNewMatrix() - Method in class marf.math.ComplexMatrix
getNewMatrix(int, int) - Method in class marf.math.ComplexMatrix
getNewMatrix() - Method in class marf.math.Matrix
getNewMatrix(int, int) - Method in class marf.math.Matrix
getNextChunk(double[]) - Method in class marf.Storage.Sample: Gets the next chunk of the data and places it into padChunkArray.
getNextRHSToken() - Method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Acquires the next RHS token for a rule from the token stream.
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 grammar token.
getNextToken() - Method in class marf.nlp.Parsing.LexicalAnalyzer: Core method of the MARF LexicalAnalyzer.
getNextToken() - Method in class marf.nlp.util.NLPStreamTokenizer: Returns a next token from the NLP stream or the stack if any were pushed back.
getNgramElements() - Method in class marf.Stats.Ngram: Allows querying for the contained N-gram elements.
getNgramModel() - Static method in class marf.MARF.NLP: Retrieves current n-gram model.
getNonTerminalList() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Allows querying for the collection of non-terminals of this grammar.
getNonTerminals() - Method in class marf.nlp.Parsing.TransitionTable: NonTerminals property accessor.
getNumericalValue() - Method in class marf.nlp.Parsing.Token: Gets the numerical representation of the token.
getObjectToSerialize() - Method in class marf.Storage.StorageManager: Allows querying for the object this storage manager is in charge of.
getOccurrence(int) - Method in class marf.Stats.ProbabilityTable: Allows getting an occurrence given the x coordinate.
getOccurrence(int, int) - Method in class marf.Stats.ProbabilityTable: Allows getting an occurrence given x and y coordinates.
getOccurrence(int, int, int) - Method in class marf.Stats.ProbabilityTable: Allows getting an occurrence given x, y, and z coordinates.
getOccurrence(Vector) - Method in class marf.Stats.ProbabilityTable: Allows getting the occurrence of a list of observations.
getOption(String) - Method in interface marf.util.IOptionProvider
getOption(String, boolean) - Method in interface marf.util.IOptionProvider
getOption(int) - Method in interface marf.util.IOptionProvider
getOption(int, boolean) - Method in interface marf.util.IOptionProvider
getOption(String) - Method in class marf.util.OptionFileLoader
getOption(String, boolean) - Method in class marf.util.OptionFileLoader
getOption(int) - Method in class marf.util.OptionFileLoader
getOption(int, boolean) - Method in class marf.util.OptionFileLoader
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 interface marf.util.IOptionProvider
getOptionArgument(String, boolean) - Method in interface marf.util.IOptionProvider
getOptionArgument(int) - Method in interface marf.util.IOptionProvider
getOptionArgument(int, boolean) - Method in interface marf.util.IOptionProvider
getOptionArgument(String, boolean) - Method in class marf.util.OptionFileLoader
getOptionArgument(String) - Method in class marf.util.OptionFileLoader
getOptionArgument(int) - Method in class marf.util.OptionFileLoader
getOptionArgument(int, boolean) - Method in class marf.util.OptionFileLoader
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: Retrieves 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.
getOutputResults() - Method in class marf.Classification.NeuralNetwork.NeuralNetwork: Gets outputs of a neural network run.
getPackageInfo() - Static method in class marf.Version: Helper method to append package information.
getParams() - Method in class marf.nlp.Parsing.FuncSymTabEntry: Allows retrieval of parameter list as Vector.
getParams(int) - Method in class marf.Storage.ModuleParams: Returns for a given module it's parameters vector.
getParseExceptionInfo(SAXParseException) - Method in class marf.Classification.NeuralNetwork.NeuralNetwork.NeuralNetworkErrorHandler: Returns a string describing parse exception details.
getPhaseAngle() - Method in class marf.math.ComplexNumber
getPoles() - Method in class marf.FeatureExtraction.LPC.LPC: Retrieves the number of poles.
getPosition() - Method in class marf.nlp.Parsing.Token: Allows accessing position property.
getPosteriorProbability() - Method in class marf.Stats.Observation: Allows querying for the current value of the posterior probability.
getPreprocessing() - Method in class marf.FeatureExtraction.FeatureExtraction: Retrieves inner preprocessing reference.
getPreprocessing() - Method in interface marf.FeatureExtraction.IFeatureExtraction: Retrieves inner preprocessing reference.
getPreprocessing() - Static method in class marf.MARF: Retrieves current Preprocessing reference.
getPreprocessingMethod() - Method in class marf.Configuration
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.
getPreprocessingPluginClass() - Method in class marf.Configuration
getPreprocessingPluginClass() - Static method in class marf.MARF: Allows querying for the current preprocessing plug-in class.
getPriorProbability() - Method in class marf.Stats.Observation: Allows querying for the current value of the prior probability.
getProbability() - Method in class marf.nlp.Parsing.GrammarCompiler.ProbabilisticRule: Retrieves probability of the rule.
getProbabilityTable() - Method in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator: Retrieves current probabilities table.
getProbabilityTable() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
getRadius() - Method in class marf.math.ComplexNumber
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: Retrieves the object's rank.
getRawCorpusTextBuffer() - Method in class marf.nlp.Storage.Corpus
getReal() - Method in class marf.math.ComplexNumber: Allows querying for TODO.
getRealMatrixArray() - Method in class marf.math.ComplexMatrix: Allows getting internal array represeting the real matrix data.
getRequiredBitSize() - Method in class marf.Storage.SampleLoader
getRequiredChannels() - Method in class marf.Storage.SampleLoader
getRequiredFrequency() - Method in class marf.Storage.SampleLoader
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.Similarity.CosineSimilarityMeasure: Retrieves the maximum-similarity classification result.
getResult() - Method in class marf.Classification.Stochastic.Stochastic: Retrieves the maximum-probability classification result.
getResult() - Method in class marf.Classification.Stochastic.ZipfLaw
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.
getResultSetSorted() - Method in class marf.Storage.ResultSet: Allows querying the current array of references to the contained Result objects sorted (if sorting was performed).
getResultSetVector() - Method in class marf.Storage.ResultSet: Retrieves the underlying unsorted result collection.
getRetVal() - Method in class marf.FeatureExtraction.FeatureExtractionAggregator.FeatureExtractionThread: Allows to query for the feature extraction success return value.
getRetValDataType() - Method in class marf.nlp.Parsing.FuncSymTabEntry: Allows getting the data type of the function's return value.
getRHS() - Method in class marf.nlp.Parsing.GrammarCompiler.Rule: Allows getting the RHS part of this rule.
getRHSFirstSet(GrammarElement) - Method in class marf.nlp.Parsing.GrammarCompiler.Rule: Function that computes the first set of the right hand side of the current grammar rule.
getRow(int) - Method in class marf.math.Matrix
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: Allows querying for a grammar rule given the name of the terminal and the index of the non-terminal grammar elements.
getRule(int, int, int) - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Retrieves a grammar rule given the indices of the LHS non-terminal and two grammar elements on the RHS.
getRules() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Allows querying for the collection of rules of this 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() - Method in class marf.Configuration
getSampleFormat() - Static method in class marf.MARF: Gets input sample file format.
getSampleLoader() - Static method in class marf.MARF: Retrieves current SampleLoader reference.
getSampleLoaderPluginClass() - Method in class marf.Configuration
getSampleLoaderPluginClass() - Static method in class marf.MARF: Allows querying for the current preprocessing plug-in class.
getSamplesDir() - Method in class marf.Configuration
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.AudioSampleLoader: 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.Loaders.TextLoader: Retrieves the length of the sample (# of data points in the 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: Gets a sentence span given indices.
getSize() - Method in class marf.Stats.Ngram: Retrieves the size of the N-gram.
getSmoothingMethod() - Static method in class marf.MARF.NLP: Retrieves current smoothing method.
getSortedStatRefs() - Method in class marf.Classification.Stochastic.ZipfLaw: Allows getting an array of sorted references to WordStats objects.
getSortMode() - Method in class marf.Storage.ResultSet: Allows querying the sort mode the result set may be currently sorted in accordance with.
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.
getStack() - Method in class marf.nlp.Parsing.Parser: Allows querying for the current stack.
getStackTraceAsString(String, Exception) - Static method in class marf.util.ExceptionUtils: Writes out the stack trace into a string and returns it along with the supplied message.
getStartNonTerminal() - Method in class marf.nlp.Parsing.GrammarCompiler.Grammar: Allows querying for the current starting non-terminal.
getStartNonTerminal() - Method in class marf.nlp.Parsing.TransitionTable: Allows querying for the starting non-terminal.
getStats() - Method in class marf.Classification.Stochastic.ZipfLaw: Allows getting raw Hashtable of the WordStats objects.
getStreamTokenizer() - Method in interface marf.Stats.StatisticalEstimators.IStatisticalEstimator: Retrieves current stream tokenizer.
getStreamTokenizer() - Method in class marf.Stats.StatisticalEstimators.StatisticalEstimator
getStringVersion() - Static method in class marf.Version: Returns a string representation of the MARF version.
getStringVersion(double) - Static method in class marf.Version: Returns a string representation of the MARF version given its floating point equivalent.
getStringVersion(int) - Static method in class marf.Version: Returns a string representation of the MARF version given its integer equivalent.
getSubjectID() - Method in interface marf.Storage.ITrainingSample: Retrieves Subject ID of a particular training sample.
getSubjectID() - Method in class marf.Storage.TrainingSample
getSubtype() - Method in class marf.nlp.Parsing.TokenSubType: Allows querying for the current token sub-type.
getSymbolTable() - Static method in class marf.nlp.Parsing.Parser: Allows querying for the current symbol table.
getSymTab() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Access method for the SymTab property.
getSymTabEntries() - Method in class marf.nlp.Parsing.SymbolTable: Allows querying for the contained entries.
getSymTabEntry(int) - Method in class marf.nlp.Parsing.SymbolTable: Not implemented.
getSymTabEntry(String) - Method in class marf.nlp.Parsing.SymbolTable: This method returns the entry by token's lexeme.
getSyntaxErrors() - Method in class marf.nlp.Parsing.Parser: Allows querying for the recorded syntax errors that were found.
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: Allows querying for the collection of terminals of this 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: Allows querying this element's enclosed token.
getTokenizedCorpus() - Method in class marf.nlp.Storage.Corpus
getTokenizer() - Method in class marf.nlp.Storage.Corpus
getTokenList() - Method in class marf.nlp.Parsing.GenericLexicalAnalyzer: Access method for the TonkenList property.
getTokenType() - Method in class marf.nlp.Parsing.Token: Allows accessing the token type.
getTrainingSetFilename() - Method in class marf.Classification.Classification: Constructs a global cluster file name for the TrainingSet.
getTrainingSetFormat() - Method in class marf.Storage.TrainingSet
getTransitionTable() - Static method in class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Allows querying for the inner transition table data structure.
getTransitionTable() - Method in class marf.nlp.Parsing.Parser: Allows querying for the current transition table.
getType() - Method in class marf.nlp.Parsing.GrammarCompiler.Terminal: Allows getting the enclosed grammar token type.
getType() - Method in class marf.nlp.Parsing.SymDataType: Allows querying for data type.
getType() - Method in class marf.nlp.Parsing.TokenType: Allows querying for the current token type.
getUID() - Method in class marf.nlp.Parsing.SymTabEntry: Returns UID.
getUnitComplexVector() - Method in class marf.math.ComplexVector: Returns a unit-ComplexVector representation of this ComplexVector.
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 interface marf.util.IOptionProvider
getValidOptions() - Method in class marf.util.OptionFileLoader
getValidOptions() - Method in class marf.util.OptionProcessor: Allows querying for the set of active options.
getValue(String) - Method in class marf.util.OptionFileLoader: Obtains the value of the line.
getVersion() - Static method in class marf.MARF: Returns a string representation of the MARF version.
getWeight(Neuron) - Method in class marf.Classification.NeuralNetwork.Neuron: Retrieves specific neuron's weight.
getWidth() - Method in class marf.gui.util.SmartSizablePanel
getWindowLength() - Method in class marf.FeatureExtraction.LPC.LPC: Retrieves the window length.
getWordStats(String) - Method in class marf.Classification.Stochastic.ZipfLaw: Allows getting a particular WordStats object by its lexeme.
getX() - Method in class marf.gui.util.SmartSizablePanel
getY() - Method in class marf.gui.util.SmartSizablePanel
GLI - Static variable in interface marf.MARF.EStatisticalEstimators: Indicates to use GLI estimator/smoothing.
GLI - Class in marf.Stats.StatisticalEstimators: GLI Statistical Estimator.
GLI() - Constructor for class marf.Stats.StatisticalEstimators.GLI: Default constructor as in parent.
GOOD_TURING - Static variable in interface marf.MARF.EStatisticalEstimators: 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: Constructs the default estimator with the default value of threshold of 5.
GoodTuring(int) - Constructor for class marf.Stats.StatisticalEstimators.Smoothing.GoodTuring: Constructs the estimator with the specified threshold.
Grammar - Class in marf.nlp.Parsing.GrammarCompiler: Represents the language Grammar data structure.
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: Constructs a grammar analyzer with the default filename.
GrammarAnalyzer(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Constructs a grammar analyzer with the specified grammar filename.
GrammarAnalyzer(SymbolTable) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarAnalyzer: Constructs a grammar analyzer using a predefined symbol table.
GrammarCompiler - Class in marf.nlp.Parsing.GrammarCompiler: Grammar compiler -- compiles source grammar file and produces a corresponding transition table for a given language denoted by the grammar.
GrammarCompiler() - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Default Constructor.
GrammarCompiler(String) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarCompiler: Constructor with the grammar filename.
GrammarElement - Class in marf.nlp.Parsing.GrammarCompiler: Generic grammar token that must be subclassed.
GrammarElement() - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Do not allow public default constructor because it doesn't make sense from outside.
GrammarElement(Token, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Preferred Constructor.
GrammarElement(String, int) - Constructor for class marf.nlp.Parsing.GrammarCompiler.GrammarElement: Constructor by name; inner token is set to null.
GrammarTokenType - Class in marf.nlp.Parsing.GrammarCompiler: Represents the data type of a grammar token.
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.
GUIException - Exception in marf.gui: GUIException is a root of exception hierarchy in the exception processing of the GUI-related modules of MARF.
GUIException() - Constructor for exception marf.gui.GUIException: Default GUI exception.
GUIException(String) - Constructor for exception marf.gui.GUIException: Generic exception.
GUIException(Exception) - Constructor for exception marf.gui.GUIException: Exception wrapper constructor.
GUIException(String, Exception) - Constructor for exception marf.gui.GUIException: Accepts custom message and the exception object.
GUIThread - Class in marf.gui.util: Represents a MARF GUI Thread for non-blocking GUI components.
GUIThread() - Constructor for class marf.gui.util.GUIThread
GUIThread(Runnable) - Constructor for class marf.gui.util.GUIThread
GUIThread(Runnable, String) - Constructor for class marf.gui.util.GUIThread
GUIThread(ThreadGroup, Runnable, String) - Constructor for class marf.gui.util.GUIThread
GUIThread(ThreadGroup, String) - Constructor for class marf.gui.util.GUIThread
GUIThread(String) - Constructor for class marf.gui.util.GUIThread
GUIThread(ExpandedThreadGroup, String) - Constructor for class marf.gui.util.GUIThread
GUIThread(ExpandedThreadGroup, Runnable) - Constructor for class marf.gui.util.GUIThread
GUIThread(ExpandedThreadGroup, Runnable, String) - Constructor for class marf.gui.util.GUIThread
GUIThread(int) - Constructor for class marf.gui.util.GUIThread

H

h() - Method in class marf.Preprocessing.CFEFilters.BandPassFilter
h() - Method in class marf.Preprocessing.CFEFilters.BandStopFilter
H - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
h() - Method in class marf.Preprocessing.CFEFilters.CFEFilter: Transfer function; must be implemented by concrete filters.
h() - Method in class marf.Preprocessing.CFEFilters.HighPassFilter
h() - Method in class marf.Preprocessing.CFEFilters.LowPassFilter
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.
HAMMING_DISTANCE - Static variable in class marf.MARF: Indicates to use the Hamming distance classifier.
HammingDistance - Class in marf.Classification.Distance: Hamming Distance Classifier.
HammingDistance(IFeatureExtraction) - Constructor for class marf.Classification.Distance.HammingDistance: Hamming Distance Constructor.
hasArgument() - Method in class marf.util.OptionProcessor.Option: Tells if this option has an argument set.
hashCode() - Method in class marf.math.ComplexNumber
hashCode() - Method in class marf.nlp.Storage.Corpus
hashCode() - Method in class marf.Stats.StatisticalObject: Overrides hashCode() since equals() is overridden by returning the hash code of the toString().
hashCode() - Method in class marf.Storage.StorageManager: Overrides hashCode() since equals() is overridden by returning the hash code of the toString().
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_CFE_FILTER - Static variable in class marf.MARF: Indicates to use high-pass CFE filter.
HIGH_PASS_FFT_FILTER - Static variable in class marf.MARF: Indicates to use high-pass FFT filter.
HIGHEST_FORMAT - Static variable in class marf.Storage.MARFAudioFileFormat: Highest possible sample format value.
HighFrequencyBoost - Class in marf.Preprocessing.FFTFilter: HighFrequencyBoost class implements filtering using high frequency booster on top of the FFTFilter.
HighFrequencyBoost() - Constructor for class marf.Preprocessing.FFTFilter.HighFrequencyBoost: Default constructor for reflective creation of Preprocessing clones.
HighFrequencyBoost(IPreprocessing) - 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.CFEFilters
HighPassFilter(Sample) - Constructor for class marf.Preprocessing.CFEFilters.HighPassFilter: LowPassFilter Constructor.
HighPassFilter - Class in marf.Preprocessing.FFTFilter: HighPassFilter class implements high-pass filtering the FFT Filter.
HighPassFilter() - Constructor for class marf.Preprocessing.FFTFilter.HighPassFilter: Default constructor for reflective creation of Preprocessing clones.
HighPassFilter(IPreprocessing) - 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.ComplexVector: Creates a unit-ComplexVector "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.
iBufferCount - Variable in class marf.Storage.ByteArrayFileReader: Contained used buffers count.
iBufferSize - Variable in class marf.Storage.ByteArrayFileReader: Current buffer size.
iCapacity - Variable in class marf.Stats.Ngram: N-gram's current capacity.
iCaseSensitivity - Variable in class marf.nlp.Storage.Corpus
iChunkSize - Variable in class marf.FeatureExtraction.FFT.FFT: FFT chunk size.
iChunkSize - Variable in class marf.Preprocessing.CFEFilters.CFEFilter
IClassification - Interface in marf.Classification: Classification Interface.
iClassificationMethod - Variable in class marf.Configuration: Indicates what classification method to use in the pipeline.
iCols - Variable in class marf.math.Matrix: Actual number of columns in the matrix.
iCropChunkSize - Variable in class marf.Preprocessing.Dummy.Crop
iCropLeft - Variable in class marf.Preprocessing.Dummy.Crop: Where to start cropping from, by default (chunk-size, i.e.
iCropRight - Variable in class marf.Preprocessing.Dummy.Crop: Where to stop cropping, by default "the rest of the sample".
iCurrenLayer - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork: Current layer's #.
iCurrentDumpMode - Variable in class marf.Storage.StorageManager: Indicates in which format dump training data.
iCurrentErrorCode - Variable in exception marf.nlp.Parsing.CompilerError: Error code of the last error occurred.
iCurrentStatus - Variable in class marf.gui.util.ColoredStatusPanel: Should be between lower and upper bounds.
iCurrentSubject - Variable in class marf.Configuration: ID of the currently trained speaker.
iCurrLayerBuf - Variable in class marf.Classification.NeuralNetwork.NeuralNetwork: Number of the buffered layer.
ID - Static variable in class marf.nlp.Parsing.TokenType: Identifier token type.
IDatabase - Interface in marf.Storage: Subject database interface.
iDeletes - Variable in class marf.nlp.Storage.Corpus
iDimension - Variable in class marf.nlp.Parsing.VarSymTabEntry: Dimension of an array.
iDirection - Variable in class marf.math.Matrix.Direction: Default direction is EAST.
iDistanceType - Variable in class marf.Classification.Distance.HammingDistance
iEntryType - Variable in class marf.nlp.Parsing.SymTabEntry: Current Entry type.
iEOFTerminalID - Variable in class marf.nlp.Parsing.TransitionTable
IF - Static variable in class marf.nlp.Parsing.TokenSubType: Constant for keyword "if".
IFeatureExtraction - Interface in marf.FeatureExtraction: Feature Extraction Interface.
iFeatureExtractionMethod - Variable in class marf.Configuration: Indicates what feature extraction method to use in the pipeline.
iFeatureExtractionMethod - Variable in class marf.Storage.TrainingSet: Which feature extraction method was used to determine this feature vector.
iFileSize - Variable in class marf.Storage.ByteArrayFileReader: Contained file size in bytes.
IFilter - Interface in marf.Preprocessing: An interface all filters must comply with.
iFormat - Variable in class marf.Storage.MARFAudioFileFormat: Current sample's format.
iFormat - Variable in class marf.Storage.Sample: Local format code.
iFrequency - Variable in class marf.Stats.StatisticalObject: Number of occurrences of this object basic data in a given document (for example a corpus or a WAVE file).
iHeight - Variable in class marf.gui.util.SmartSizablePanel: The height of the panel.
iID - Variable in class marf.nlp.Parsing.GrammarCompiler.GrammarElement: ID to act as an index to table.
iID - Variable in class marf.nlp.Parsing.GrammarCompiler.Rule: ID for reference and debugging.
iID - Variable in class marf.nlp.Parsing.SymTabEntry: Numeric ID of the entry.
iID - Variable in class marf.Storage.Result: Identified subject's ID.
iInserts - Variable in class marf.nlp.Storage.Corpus
iKind - Variable in class marf.nlp.Parsing.VarSymTabEntry: Variable kind.
iLastTypeVectorComputed - Variable in class marf.Storage.FeatureSet: Type of the primary vector data member computed last.