ABLE, Version 1.1b
A B C D E F G H I L M N O P Q R S T U V W X _

N

NaiveBayes - class com.ibm.able.beans.bayes.NaiveBayes.
 
NaiveBayes() - Constructor for class com.ibm.able.beans.bayes.NaiveBayes
 
NaiveBayes(int, int, short[], double, double[], double[][][]) - Constructor for class com.ibm.able.beans.bayes.NaiveBayes
construct NaiveBayes with the explicitly specified parameters ncls - number of class labels nftr - number of features nval - number of values per each feature (assuming nominal - discrete finite-valued - features) cpriors - prior probability distribution over class labels m - equivalent sample size ppriors - prior estimates of the probabilities P(f|C) (used for Bayesian parameter estimation with equivalent sample size method)
name - Variable in class com.ibm.able.AbleObject
The name of this bean.
name - Variable in class com.ibm.able.beans.AbleAtom
name is the name of the atom.
name - Variable in class com.ibm.able.beans.AbleFieldDefinition
 
name - Variable in class com.ibm.able.beans.rules.AbleRule
 
Name - Static variable in class com.ibm.able.AbleProperty
 
NameId - Static variable in class com.ibm.able.AbleProperty
Used when changing a bean's name field.
NB - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
net - Variable in class com.ibm.able.agents.AbleNeuralPredictionAgent
 
net - Variable in class com.ibm.able.agents.AbleNeuralClassifierAgent
 
net - Variable in class com.ibm.able.agents.AbleNeuralClusteringAgent
 
net - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayesClassifierAgent
 
netArch - Variable in class com.ibm.able.agents.AbleNeuralPredictionAgent
 
netArch - Variable in class com.ibm.able.agents.AbleNeuralClassifierAgent
 
netArch - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayesClassifierAgent
 
netArchitecture - Variable in class com.ibm.able.beans.AbleNetwork
The network architecture string
netEpoch - Variable in class com.ibm.able.beans.AbleNetwork
The current training epoch
netMode - Variable in class com.ibm.able.beans.AbleNetwork
The network mode, train, test or run
netMode - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
netModelType - Variable in class com.ibm.able.beans.AbleNetwork
The type of network model
netNumRecs - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
netRecInx - Variable in class com.ibm.able.beans.AbleNetwork
The current index into the record
netRecInx - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
netStepsPerEpoch - Variable in class com.ibm.able.beans.AbleNetwork
The number of steps before each weight adjustment
nextToken() - Method in class com.ibm.able.beans.fuzzy.FsParLexer
 
nextToken() - Method in class com.ibm.able.beans.rules.AbleParLexer
 
nfeatures - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
ninst - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
nlabels - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
NlsMsg(int) - Static method in class com.ibm.able.Able
Retrieve an NLS message by key.
NlsMsg(int) - Static method in class com.ibm.able.beans.fuzzy.Fs
Retrieve an NLS message by key.
NlsMsg(int, Object[]) - Static method in class com.ibm.able.Able
Retrieve an NLS message by key and insert text into the message.
NlsMsg(int, Object[]) - Static method in class com.ibm.able.beans.fuzzy.Fs
Retrieve an NLS message by key and insert text into the message.
NNRUN - Static variable in class com.ibm.able.beans.AbleNetwork
Application or Run mode weights are not adjusted output is produced
NNTEST - Static variable in class com.ibm.able.beans.AbleNetwork
Test mode weights are not adjusted performance is tested (errors are computed)
NNTRAIN - Static variable in class com.ibm.able.beans.AbleNetwork
Training mode weights are adjusted
noDuplicatesAllowed - Variable in class com.ibm.able.agents.AbleGeneticSearchAgent
 
NONE - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NORM1 - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NORM2 - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NORM3 - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
normalizedFitness - Variable in class com.ibm.able.beans.AbleGeneticObject
The normalized fitness value (set by the search agent)
normalizeFitness() - Method in class com.ibm.able.agents.AbleGeneticSearchAgent
perform linear normalization of the raw fitness values also pre-compute the summed fitness values for roulette wheel selection where the normalizedFitness of the best population member is equal to 2 times the average fitness
notifyAbleEventListeners(AbleEvent) - Method in class com.ibm.able.AbleObject
Notify all registered listeners by sending the specified event.
notifyAbleEventListeners(AbleEvent) - Method in interface com.ibm.able.AbleBean
Notify all registered listeners by sending the specified event.
NULL_TREE_LOOKAHEAD - Static variable in interface com.ibm.able.beans.fuzzy.FsParTokenTypes
 
NULL_TREE_LOOKAHEAD - Static variable in interface com.ibm.able.beans.rules.AbleParTokenTypes
 
NUM_BINCODEOPS - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NUM_NUMBEROPS - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NUM_ONEOFNOPS - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NUM_SYMBOLOPS - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NUM_THERMCODEOPS - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NUM_VECTOROPS - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
numAntecedents() - Method in class com.ibm.able.beans.rules.AbleRule
Retrieve the number of antecedents in this rule.
NumberOfStates - Static variable in class com.ibm.able.AbleState
The total number of known states.
numberOperList - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
numCols - Variable in class com.ibm.able.agents.AbleNeuralClusteringAgent
 
numColumns - Variable in class com.ibm.able.editor.AbleInspectorContext
 
numEpochs - Variable in class com.ibm.able.agents.AbleDefaultAgent
The number of epochs processed in training mode This field is initialized to zero (0).
numEpochs - Variable in class com.ibm.able.beans.AbleImport
 
NUMERIC - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
numericData - Variable in class com.ibm.able.beans.AbleDataSet
 
NumericLiteral - Static variable in class com.ibm.able.data.AbleData
Data type; the data object represents a numeric literal.
NumericVariable - Static variable in class com.ibm.able.data.AbleData
Data type; the data object represents a numeric variable.
numFieldsPerRecord - Variable in class com.ibm.able.beans.AbleImport
 
numFieldsPerRecord - Variable in class com.ibm.able.beans.AbleExport
 
numInputs - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
NUMLOGICALTYPES - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NUMOPERATORTYPES - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
numOutputs - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
numPasses - Variable in class com.ibm.able.agents.AbleNeuralPredictionAgent
 
numPasses - Variable in class com.ibm.able.agents.AbleNeuralClassifierAgent
 
numPasses - Variable in class com.ibm.able.agents.AbleNeuralClusteringAgent
 
numPasses - Variable in class com.ibm.able.agents.AbleGeneticSearchAgent
 
numPasses - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayesClassifierAgent
 
numPoints - Variable in class com.ibm.able.editor.AbleInspectorContext
 
numRecords - Variable in class com.ibm.able.beans.AbleImport
 
numRecords - Variable in class com.ibm.able.beans.AbleDataSet
 
numRows - Variable in class com.ibm.able.agents.AbleNeuralClusteringAgent
 
NUMSTATUSSTRINGS - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
NUMUSAGETYPES - Static variable in class com.ibm.able.beans.filter.AbleFilter
 
nvals - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 
nvalues - Variable in class com.ibm.able.beans.bayes.AbleNaiveBayes
 

ABLE, Version 1.1b
A B C D E F G H I L M N O P Q R S T U V W X _
ABLE: Produced by Joe, Don, and Jeff who say, 'Thanks for your support.'