Serialized Form
Package marf.Classification |
oFeatureExtraction
IFeatureExtraction oFeatureExtraction
- Reference to the enclosed FeatureExtraction object.
oTrainingSet
TrainingSet oTrainingSet
- TrainingSet Container.
oResultSet
ResultSet oResultSet
- Classification result set. May contain
one or more results (in case of similarity).
- Since:
- 0.3.0
Package marf.Classification.Distance |
oC
Matrix oC
- Covariance Matrix.
r
double r
- Minkowski Factor.
Default is 3; r = 1 is Chebyshev distance, r = 2 is Euclidean distance.
Package marf.Classification.Markov |
Package marf.Classification.NeuralNetwork |
layers
java.util.ArrayList layers
- Array of Layers.
curr
java.util.ArrayList curr
- Current layer.
currLayer
int currLayer
- Current layer's #.
currLayerBuf
int currLayerBuf
- currLayerBuf.
currNeuron
Neuron currNeuron
- Current Neuron.
neuron_type
int neuron_type
- Neuron Type.
inputs
java.util.ArrayList inputs
- Input layer.
outputs
java.util.ArrayList outputs
- Output layer.
Package marf.Classification.RandomClassification |
oIDs
java.util.Vector oIDs
- Vector of integer IDs.
Package marf.Classification.Stochastic |
oStatisticalEstimator
StatisticalEstimator oStatisticalEstimator
- Local reference to some instance of a statistical
estimator for probability computation.
oAvailLanguages
java.util.Vector oAvailLanguages
- A collection of available natural languages.
oStats
java.util.Hashtable oStats
- Local collection of stats.
oSortedStatRefs
WordStats[] oSortedStatRefs
- Sorted references to stats.
bDumpLog
boolean bDumpLog
- Indicates whether to dump log or not.
Package marf.FeatureExtraction |
oPreprocessing
IPreprocessing oPreprocessing
- Internal reference to the Preprocessing module.
adFeatures
double[] adFeatures
- An array of features extracted (coefficiencies and/or amplitude values).
Package marf.FeatureExtraction.Cepstral |
Package marf.FeatureExtraction.F0 |
Package marf.FeatureExtraction.FFT |
Package marf.FeatureExtraction.LPC |
iPoles
int iPoles
- Number of poles.
A pole is a root of the denominator in the Laplace transform of the
input-to-output representation of the speech signal.
iWindowLen
int iWindowLen
- Window length.
Package marf.FeatureExtraction.MinMaxAmplitudes |
Package marf.FeatureExtraction.RandomFeatureExtraction |
Package marf.FeatureExtraction.Segmentation |
data
java.util.Vector data
- The data vector.
min
double min
- Current minimum.
max
double max
- Current maximum.
strMethod
java.lang.String strMethod
- To differentiate file names based on the feature extraction method name.
oSpectrogram
Spectrogram oSpectrogram
oStatusPanel
ColoredStatusPanel oStatusPanel
adDataArray
double[] adDataArray
- Data to graph.
dXmin
double dXmin
- Range of data for the X axis -- Minimum.
dXmax
double dXmax
- Range of data for the X axis -- Maximum.
oWaveGrapher
WaveGrapher oWaveGrapher
oStatusPanel
ColoredStatusPanel oStatusPanel
iLowerBound
int iLowerBound
- Lower bound.
iUpperBound
int iUpperBound
- Upper bound.
iCurrentStatus
int iCurrentStatus
- Should be between lower and upper bounds.
iX
int iX
iY
int iY
iWidth
int iWidth
iHeight
int iHeight
iRows
int iRows
- Actual number of rows in the matrix.
iCols
int iCols
- Actual number of columns in the matrix.
adMatrix
double[] adMatrix
- Matrix itself.
CurrentErrorCode
int CurrentErrorCode
- Error code of the last error occured.
- Since:
- October 2, 2001
CurrentErrorString
java.lang.String CurrentErrorString
- A descriptive message correspoding to a given error code.
- Since:
- October 2, 2001
LineNo
int LineNo
- Line number where the given error occurred.
- Since:
- October 2, 2001
ErrorMessages
java.lang.String[] ErrorMessages
- Lexical errors.
- Since:
- October 2, 2001
FaultingToken
Token FaultingToken
- Token information at which Lexer
encountered the error.
- Since:
- October 2, 2001
oParseMatrix
double[][][] oParseMatrix
oBack
java.util.Vector[][][] oBack
oWords
java.util.Vector oWords
oGrammar
Grammar oGrammar
ErrorMessages
java.lang.String[] ErrorMessages
- Custom error messages.
- Since:
- December 19, 2001
FaultingToken
Token FaultingToken
- Token information at which Lexer
encountered the error.
- Since:
- October 2, 2001
ErrorMessages
java.lang.String[] ErrorMessages
- Lexical errors.
- Since:
- October 2, 2001
FaultingToken
Token FaultingToken
- Token information at which Parser
encountered the error.
- Since:
- October 2, 2001
RecoveryActionCode
int RecoveryActionCode
- Recoevery action code specifies which action
to take to recover from this error.
Lexeme
java.lang.String Lexeme
- Parts of a Token.
Position
java.awt.Point Position
oTokenType
TokenSubType oTokenType
subtype
int subtype
type
int type
- Current token type.
TT
java.util.Vector TT
- Transition Table (TT) is a Vector
of Vectors of Objects, such as Rules
and SyntaxErrors.
NonTerminals
java.util.Vector NonTerminals
- Vector of NonTerminals as "row-pointers"
to TT.
Terminals
java.util.Vector Terminals
- Vector of Terminals as "column-pointers"
to TT.
EOFTerminalID
int EOFTerminalID
StartNonTerminalID
int StartNonTerminalID
Package marf.nlp.Parsing.GrammarCompiler |
TerminalList
java.util.Vector TerminalList
- List of terminals.
NonTerminalList
java.util.Vector NonTerminalList
- List of non-terminals.
Rules
java.util.Vector Rules
- A vector of rules.
EOFTerminal
Terminal EOFTerminal
- A static EOF reference.
EpsilonTerminal
Terminal EpsilonTerminal
- The epsilon token.
StartNonTerminal
NonTerminal StartNonTerminal
- A reference to the starting state.
FirstSetsFile
java.lang.String FirstSetsFile
FollowSetsFile
java.lang.String FollowSetsFile
RulesFile
java.lang.String RulesFile
oGrammar
Grammar oGrammar
- Instance of the grammar as a set of
production Rules, First and Follow sets.
GrammarFileName
java.lang.String GrammarFileName
- Source grammar filename.
oGrammarAnalyzer
GrammarAnalyzer oGrammarAnalyzer
- Lexical Analyzer for the grammar.
oGrammarElement
GrammarElement oGrammarElement
oToken
Token oToken
oRule
Rule oRule
Name
java.lang.String Name
- A name of a token to refer to.
ID
int ID
- ID to act as an index to table.
oToken
Token oToken
- A bit extra info in the encasulted token.
FirstSet
java.util.Vector FirstSet
- FirstSet of us.
Defined
boolean Defined
- Flag Defined or not.
FollowSet
java.util.Vector FollowSet
- Follow Set.
dProbability
double dProbability
- Probability of the rule.
ID
int ID
- ID for reference and debugging.
LHS
NonTerminal LHS
- LHS.
RHS
java.util.Vector RHS
- A vector of grammar elements
on the right-hand-side of a production.
Type
GrammarTokenType Type
Package marf.Preprocessing |
oSample
Sample oSample
- Sample reference.
Package marf.Preprocessing.Dummy |
Package marf.Preprocessing.Endpoint |
Package marf.Preprocessing.FFTFilter |
iSize
int iSize
- 0 - unset, 1 - unigram, 2 - bigram, 3 - trigram, etc.
iCapacity
int iCapacity
- N-gram's current capacity.
Default is 0.
aNgramElements
Ngram[] aNgramElements
- N-gram's parts.
dPriorProbability
double dPriorProbability
dPosteriorProbability
double dPosteriorProbability
bSeen
boolean bSeen
oColumnIndex
java.util.Vector oColumnIndex
- Observations by columns.
Observation's index in the vector is the on in the table
Second words/chars.
oNMatrix
java.util.Vector oNMatrix
- Vector of vectors of probabilities, which are Double
objects. To save space null means 0.0.
strLang
java.lang.String strLang
- Current natural language.
Default is "en".
iFrequency
int iFrequency
- Word's frequency in a given corpus. Default
0
.
iRank
int iRank
- Word's rank in the corpus. The rank of 1 indicates the top frequent word.
Default is
-1
, i.e. unset.
strLexeme
java.lang.String strLexeme
- Spelling of the word.
Package marf.Stats.StatisticalEstimators |
oProbabilityTable
ProbabilityTable oProbabilityTable
oStreamTokenizer
NLPStreamTokenizer oStreamTokenizer
Package marf.Stats.StatisticalEstimators.Smoothing |
dDelta
double dDelta
- Default 0.5: Expected Likelihood Estimation (ELE).
iThreshold
int iThreshold
iMeanCount
int iMeanCount
- How many times mean was computed.
Used in recomputation of it.
bConnected
boolean bConnected
- Indicates whether we are connected or not.
oFeatureVectors
java.util.Vector oFeatureVectors
- A Vector of TrainingSamples.
iID
int iID
- Identified subject's ID.
strDescription
java.lang.String strDescription
- Textual result description.
- Since:
- 0.3.0
dOutcome
double dOutcome
- Distance/probability.
- Since:
- 0.3.0
oResultSet
java.util.Vector oResultSet
- Distances from other samples and other stats or
probabilities and likelyhood (growable and shrinkable).
oResultSetSorted
Result[] oResultSetSorted
- References to the objects in the oResultSet
in the sorted order.
iSortMode
int iSortMode
- Used to remember in which direction sorting was performed,
so some methods can work correctly. Default is -1, i.e.
unset. Otherwise, it is
SortComparator.ASCENDING
or SortComparator.DESCENDING
. It is set by
the sort()
method only.
- Since:
- 0.3.0.3
- See Also:
ResultSet.getSecondClosestID()
,
ResultSet.sort(int)
,
SortComparator.ASCENDING
,
SortComparator.DESCENDING
oAudioFileFormat
MARFAudioFileFormat oAudioFileFormat
- Groupping of file format data.
- Since:
- 0.3.0.2
adSample
double[] adSample
- Sample data array (amplitudes).
oObjectToSerialize
java.lang.Object oObjectToSerialize
- Actual object to be serialized (primarily for GZIP and BINARY modes.
Has to be back-synchronized.
- Since:
- 0.3.0
- See Also:
StorageManager.backSynchronizeObject()
iSubjectID
int iSubjectID
- Which subject this feature vector is associated with.
adDataVector
double[] adDataVector
- Array represinting either a feature or mean vector describing the cluster.
oFilenames
java.util.Vector oFilenames
- A list of filenames that were used in training for this cluster.
Used to avoid duplicate training on the same filename.
oClusters
java.util.Vector oClusters
- A Vector of Clusters.
oFeatureSet
FeatureSet oFeatureSet
- Feature Set as opposed to the cluster.
iPreprocessingMethod
int iPreprocessingMethod
- Which preprocessing method was applied to the sample before this feature vector was extracted.
iFeatureExtractionMethod
int iFeatureExtractionMethod
- Which feature extraction method was used to determine this feature vector.
strMessage
java.lang.String strMessage
- Our own error message container.
aiDimensions
int[] aiDimensions
- Matrix dimensions.
iSortMode
int iSortMode
- Current sorting mode: either
ASCENDING
or DESCENDING
.
Package marf.util.comparators |