Index (Apache OpenNLP :: Core :: ML :: Naive Bayes 3.0.0-M2 API)

A B C D E G I L N O P S T W
All Classes and Interfaces|All Packages|Constant Field Values

A

addIn(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.Probability: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Compounds the existing probability mass on the label t with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Compounds the existing probability mass on the label t with the new probability passed in to the method.

B

BinaryNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes: A NaiveBayesModelReader that reads models from a binary format.
BinaryNaiveBayesModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Instantiates BinaryNaiveBayesModelReader via a DataInputStream containing the model contents.
BinaryNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Instantiates BinaryNaiveBayesModelReader via a File and creates a reader for it.
BinaryNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes: A NaiveBayesModelWriter that writes models in a binary format.
BinaryNaiveBayesModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a DataOutputStream.
BinaryNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a File.

C

checkModelType() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Reads the mode type from the underlying reader and informs if it not a Naive Bayes model.
close() - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
constructModel() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Constructs a model.

D

discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
doTrain(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

E

eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a NaiveBayesModel.
eval(String[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel

G

get() - Method in class opennlp.tools.ml.naivebayes.LogProbability
get() - Method in class opennlp.tools.ml.naivebayes.Probability
get(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
get(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
getAll() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getAll() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getConfidence() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getKeys() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getLabel() - Method in class opennlp.tools.ml.naivebayes.LogProbability
getLabel() - Method in class opennlp.tools.ml.naivebayes.Probability
getLog() - Method in class opennlp.tools.ml.naivebayes.LogProbability
getLog() - Method in class opennlp.tools.ml.naivebayes.Probability
getLog(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getLog(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
getMax() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getMax() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getMaxValue() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getOutcomeTotals() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getVocabulary() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters

I

isLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability
isLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.Probability: Checks if a probability is greater than the old one.
isSortAndMerge() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer

L

LogProbabilities<T> - Class in opennlp.tools.ml.naivebayes: Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbabilities() - Constructor for class opennlp.tools.ml.naivebayes.LogProbabilities
LogProbability<T> - Class in opennlp.tools.ml.naivebayes: A class implementing the logarithmic Probability for a label.
LogProbability(T) - Constructor for class opennlp.tools.ml.naivebayes.LogProbability

N

NAIVE_BAYES_VALUE - Static variable in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayesEvalParameters - Class in opennlp.tools.ml.naivebayes: Specialized parameters for the evaluation of a naive bayes classifier
NaiveBayesEvalParameters(Context[], int, double[], long) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
NaiveBayesModel - Class in opennlp.tools.ml.naivebayes: A MaxentModel implementation of the multinomial Naive Bayes classifier model.
NaiveBayesModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel: Initializes a NaiveBayesModel.
NaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes: The base class for readers of models.
NaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Initializes a NaiveBayesModelReader via a File.
NaiveBayesModelReader(DataReader) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Initializes a NaiveBayesModelReader via a DataReader.
NaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes: The base class for NaiveBayesModel writers.
NaiveBayesModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter: Initializes a NaiveBayesModelWriter for a NaiveBayes model.
NaiveBayesTrainer - Class in opennlp.tools.ml.naivebayes: Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in:
NaiveBayesTrainer() - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Instantiates a NaiveBayesTrainer with default training parameters.
NaiveBayesTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Instantiates a NaiveBayesTrainer with specific TrainingParameters.

O

opennlp.tools.ml.naivebayes - package opennlp.tools.ml.naivebayes

P

persist() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter: Writes the perceptron model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.
PlainTextNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes: A NaiveBayesModelReader that reads models from a plain text format.
PlainTextNaiveBayesModelReader(BufferedReader) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader: Instantiates PlainTextNaiveBayesModelReader via a BufferedReader containing the model contents.
PlainTextNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader: Instantiates PlainTextNaiveBayesModelReader via a File and creates a reader for it.
PlainTextNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes: A NaiveBayesModelWriter that writes models in a plain text format.
PlainTextNaiveBayesModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter: Instantiates PlainTextNaiveBayesModelWriter via an naive bayes model and a BufferedWriter.
PlainTextNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter: Instantiates PlainTextNaiveBayesModelWriter via an naive bayes model and a File.
Probabilities<T> - Class in opennlp.tools.ml.naivebayes: Class implementing the probability distribution over labels returned by a classifier.
Probabilities() - Constructor for class opennlp.tools.ml.naivebayes.Probabilities
Probability<T> - Class in opennlp.tools.ml.naivebayes: Class implementing the probability for a label.
Probability(T) - Constructor for class opennlp.tools.ml.naivebayes.Probability: Instantiates a Probability with a given label.

S

set(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability.
set(double) - Method in class opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability.
set(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability.
set(Probability) - Method in class opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability.
set(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a probability to a label t, discarding any previously assigned probability.
set(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Assigns a probability to a label t, discarding any previously assigned probability.
set(T, Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a probability to a label t, discarding any previously assigned probability.
set(T, Probability) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Assigns a probability to a label t, discarding any previously assigned probability.
setConfidence(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Sets the best confidence with which this set of probabilities has been calculated.
setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability) - Method in class opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a probability to a label t, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Assigns a probability to a label t, discarding any previously assigned probability, if the new probability is greater than the old one.
setLog(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability: Assigns a log probability to a label, discarding any previously assigned probability.
setLog(double) - Method in class opennlp.tools.ml.naivebayes.Probability: Assigns a log probability to a label, discarding any previously assigned probability.
setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a log probability to a label t, discarding any previously assigned probability.
setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities: Assigns a log probability to a label t, discarding any previously assigned probability.

T

toString() - Method in class opennlp.tools.ml.naivebayes.LogProbability
toString() - Method in class opennlp.tools.ml.naivebayes.Probabilities
toString() - Method in class opennlp.tools.ml.naivebayes.Probability
trainModel(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Trains a NaiveBayesModel with given parameters.

W

writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter

A B C D E G I L N O P S T W
All Classes and Interfaces|All Packages|Constant Field Values