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

A

ack(long) - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

ack(long) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

ack(long) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

adaptive(Long) - Static method in class com.github.pmerienne.trident.ml.stats.StreamStatistics

AdaptiveStreamFeatureStatistics - Class in com.github.pmerienne.trident.ml.stats

AdaptiveStreamFeatureStatistics() - Constructor for class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

AdaptiveStreamFeatureStatistics(long) - Constructor for class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

add(String) - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

add(double[], double[]) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

addAll(List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

AROWClassifier - Class in com.github.pmerienne.trident.ml.classification

Adaptive Regularization of Weight Vectors implementation.

AROWClassifier() - Constructor for class com.github.pmerienne.trident.ml.classification.AROWClassifier

AROWClassifier(double) - Constructor for class com.github.pmerienne.trident.ml.classification.AROWClassifier

B

batchRetrieve(MapState<Classifier<L>>, List<TridentTuple>) - Method in class com.github.pmerienne.trident.ml.classification.ClassifyQuery

batchRetrieve(MapState<Clusterer>, List<TridentTuple>) - Method in class com.github.pmerienne.trident.ml.clustering.ClusterQuery

batchRetrieve(MapState<TextClassifier<L>>, List<TridentTuple>) - Method in class com.github.pmerienne.trident.ml.nlp.ClassifyTextQuery

batchRetrieve(MapState<Regressor>, List<TridentTuple>) - Method in class com.github.pmerienne.trident.ml.regression.RegressionQuery

batchRetrieve(MapState<StreamStatistics>, List<TridentTuple>) - Method in class com.github.pmerienne.trident.ml.stats.StreamFeatureStatisticsQuery

batchRetrieve(MapState<StreamStatistics>, List<TridentTuple>) - Method in class com.github.pmerienne.trident.ml.stats.StreamStatisticsQuery

bias - Variable in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

BWinnowClassifier - Class in com.github.pmerienne.trident.ml.classification

Balanced Winnow Classifier

BWinnowClassifier() - Constructor for class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

BWinnowClassifier(double, double, double) - Constructor for class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

C

caculateBeta(Vocabulary) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

calculateGamma(int) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

Classifier<L> - Interface in com.github.pmerienne.trident.ml.classification

classifier - Variable in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier

ClassifierUpdater<L> - Class in com.github.pmerienne.trident.ml.classification

ClassifierUpdater(String, Classifier<L>) - Constructor for class com.github.pmerienne.trident.ml.classification.ClassifierUpdater

classify(double[]) - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

classify(double[]) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

classify(double[]) - Method in interface com.github.pmerienne.trident.ml.classification.Classifier

classify(double[]) - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

classify(double[]) - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

classify(double[]) - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

classify(double[]) - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

classify(double[]) - Method in interface com.github.pmerienne.trident.ml.clustering.Clusterer

Classifies a given sample and updates clusters.

classify(double[]) - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

classify(List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

classify(List<String>) - Method in interface com.github.pmerienne.trident.ml.nlp.TextClassifier

classify(String) - Method in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier

ClassifyQuery<L> - Class in com.github.pmerienne.trident.ml.classification

ClassifyQuery(String) - Constructor for class com.github.pmerienne.trident.ml.classification.ClassifyQuery

ClassifyTextQuery<L> - Class in com.github.pmerienne.trident.ml.nlp

ClassifyTextQuery(String) - Constructor for class com.github.pmerienne.trident.ml.nlp.ClassifyTextQuery

close() - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

close() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

close() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

Clusterer - Interface in com.github.pmerienne.trident.ml.clustering

ClusterQuery - Class in com.github.pmerienne.trident.ml.clustering

ClusterQuery(String) - Constructor for class com.github.pmerienne.trident.ml.clustering.ClusterQuery

ClusterUpdater - Class in com.github.pmerienne.trident.ml.clustering

ClusterUpdater(String, Clusterer) - Constructor for class com.github.pmerienne.trident.ml.clustering.ClusterUpdater

com.github.pmerienne.trident.ml.classification - package com.github.pmerienne.trident.ml.classification

com.github.pmerienne.trident.ml.clustering - package com.github.pmerienne.trident.ml.clustering

com.github.pmerienne.trident.ml.core - package com.github.pmerienne.trident.ml.core

com.github.pmerienne.trident.ml.nlp - package com.github.pmerienne.trident.ml.nlp

com.github.pmerienne.trident.ml.preprocessing - package com.github.pmerienne.trident.ml.preprocessing

com.github.pmerienne.trident.ml.regression - package com.github.pmerienne.trident.ml.regression

com.github.pmerienne.trident.ml.stats - package com.github.pmerienne.trident.ml.stats

com.github.pmerienne.trident.ml.testing - package com.github.pmerienne.trident.ml.testing

com.github.pmerienne.trident.ml.testing.data - package com.github.pmerienne.trident.ml.testing.data

com.github.pmerienne.trident.ml.util - package com.github.pmerienne.trident.ml.util

computeDxs() - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

For each features in KMeans.initFeatures, compute D(x), the distance between x and the nearest center that has already been chosen.

contains(String) - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

count(String) - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

createInstance(TridentTuple) - Method in class com.github.pmerienne.trident.ml.preprocessing.InstanceCreator

createInstance(TridentTuple) - Method in class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

createRandomNAND() - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

createTokenStream(String) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

D

Datasets - Class in com.github.pmerienne.trident.ml.testing.data

Datasets() - Constructor for class com.github.pmerienne.trident.ml.testing.data.Datasets

DatasetUtils - Class in com.github.pmerienne.trident.ml.testing.data

DatasetUtils() - Constructor for class com.github.pmerienne.trident.ml.testing.data.DatasetUtils

demotion - Variable in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

distance(List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

distance(Vocabulary, int, double) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

distribution(double[]) - Method in interface com.github.pmerienne.trident.ml.clustering.Clusterer

Predicts the cluster memberships for a given instance.

distribution(double[]) - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

dot(double[], double[]) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

E

emitBatch(long, TridentCollector) - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

emitBatch(long, TridentCollector) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

emitBatch(long, TridentCollector) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

EnglishTokenizer - Class in com.github.pmerienne.trident.ml.preprocessing

Abstraction of lucene tokenizer.

EnglishTokenizer() - Constructor for class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

EnglishTokenizer(int, int) - Constructor for class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

EnglishTokenizer(List<String>) - Constructor for class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

EnglishTokenizer(List<String>, Set<String>) - Constructor for class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

equals(Object) - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

equals(Object) - Method in class com.github.pmerienne.trident.ml.core.Instance

equals(Object) - Method in class com.github.pmerienne.trident.ml.core.TextInstance

estimateEpsilon() - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

euclideanDistance(double[], double[]) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

execute(TridentTuple, L, TridentCollector) - Method in class com.github.pmerienne.trident.ml.classification.ClassifyQuery

execute(TridentTuple, Integer, TridentCollector) - Method in class com.github.pmerienne.trident.ml.clustering.ClusterQuery

execute(TridentTuple, L, TridentCollector) - Method in class com.github.pmerienne.trident.ml.nlp.ClassifyTextQuery

execute(TridentTuple, TridentCollector) - Method in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier

execute(TridentTuple, TridentCollector) - Method in class com.github.pmerienne.trident.ml.preprocessing.InstanceCreator

execute(TridentTuple, TridentCollector) - Method in class com.github.pmerienne.trident.ml.preprocessing.Normalizer

execute(TridentTuple, TridentCollector) - Method in class com.github.pmerienne.trident.ml.preprocessing.StandardScaler

execute(TridentTuple, TridentCollector) - Method in class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

execute(TridentTuple, Double, TridentCollector) - Method in class com.github.pmerienne.trident.ml.regression.RegressionQuery

execute(TridentTuple, Double, TridentCollector) - Method in class com.github.pmerienne.trident.ml.stats.StreamFeatureStatisticsQuery

execute(TridentTuple, StreamStatistics, TridentCollector) - Method in class com.github.pmerienne.trident.ml.stats.StreamStatisticsQuery

extractFeatures(List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

extractFeatures(List<String>) - Method in interface com.github.pmerienne.trident.ml.nlp.TextFeaturesExtractor

extractFeatures(List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

extractInstances(List<TridentTuple>) - Method in class com.github.pmerienne.trident.ml.stats.StreamStatisticsUpdater

extractTokens(String) - Method in class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

F

features - Variable in class com.github.pmerienne.trident.ml.core.Instance

featuresExtractor - Variable in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier

fixed() - Static method in class com.github.pmerienne.trident.ml.stats.StreamStatistics

FixedStreamFeatureStatistics - Class in com.github.pmerienne.trident.ml.stats

FixedStreamFeatureStatistics() - Constructor for class com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics

frequency(String) - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

G

generateDataForClassification(int, int) - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

generateDataForClusterization(int, int) - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

generateDataForMultiLabelClassification(int, int, int) - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

generateDataForRegression(int, int) - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

generatedNandInstances(int) - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

generateNonSeparatableDataForClassification(int) - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

getAggressiveness() - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

getAggressiveness() - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

getBias() - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

getBIRTHSSamples() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

getCentroids() - Method in interface com.github.pmerienne.trident.ml.clustering.Clusterer

Returns learned clusters as a List of feature's means

getCentroids() - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

getClustererName() - Method in class com.github.pmerienne.trident.ml.clustering.ClusterUpdater

getClusteringSamples() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

getComponentConfiguration() - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

getComponentConfiguration() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

getComponentConfiguration() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

getCorpusSize() - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

getCount() - Method in class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

getCount() - Method in class com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics

getCount() - Method in interface com.github.pmerienne.trident.ml.stats.StreamFeatureStatistics

getDemotion() - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

getDemotion() - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

getEpsilon() - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

getEpsilon() - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

getEvalFold(int, int, List<E>) - Static method in class com.github.pmerienne.trident.ml.testing.data.DatasetUtils

getFeatures() - Method in class com.github.pmerienne.trident.ml.core.Instance

getFeatureSize() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

getFeatureSize() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

getFeaturesStatistics() - Method in class com.github.pmerienne.trident.ml.stats.StreamStatistics

getGamma(int) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

getInitialClusterer() - Method in class com.github.pmerienne.trident.ml.clustering.ClusterUpdater

getLabel() - Method in class com.github.pmerienne.trident.ml.core.Instance

getLabel() - Method in class com.github.pmerienne.trident.ml.core.TextInstance

getLearningRate() - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

getLearningRate() - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

getMaxBatchSize() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

getMaxBatchSize() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

getMaxNGram() - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

getMean() - Method in class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

getMean() - Method in class com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics

getMean() - Method in interface com.github.pmerienne.trident.ml.stats.StreamFeatureStatistics

getMinNGram() - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

getNbClasses() - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

getOutputFields() - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

getOutputFields() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

getOutputFields() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

getPromotion() - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

getPromotion() - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

getR() - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

getRandom() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

getReutersSamples() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

getSpamSamples() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

getStdDev() - Method in class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

getStdDev() - Method in class com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics

getStdDev() - Method in interface com.github.pmerienne.trident.ml.stats.StreamFeatureStatistics

getStemExclusionsSet() - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

getStopWords() - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

getStreamStatistics(MapState<StreamStatistics>) - Method in class com.github.pmerienne.trident.ml.stats.StreamStatisticsUpdater

getTermsInverseDocumentFrequencies() - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

getTextAnalyser() - Method in class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

getThreshold() - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

getThreshold() - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

getThreshold() - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

getTokens() - Method in class com.github.pmerienne.trident.ml.core.TextInstance

getTrainingFolds(int, int, List<E>) - Static method in class com.github.pmerienne.trident.ml.testing.data.DatasetUtils

getTwitterSamples() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

getType() - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

getType() - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

getU() - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

getUSPSSamples() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

getV() - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

getVariance() - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

getVariance() - Method in class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

getVariance() - Method in class com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics

getVariance() - Method in interface com.github.pmerienne.trident.ml.stats.StreamFeatureStatistics

getVariance() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

getWeights() - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

getWeights() - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

getWeights() - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

getWeights() - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

getWeights() - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

getWeights() - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

getWeightVectors() - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

H

hashCode() - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

hashCode() - Method in class com.github.pmerienne.trident.ml.core.Instance

hashCode() - Method in class com.github.pmerienne.trident.ml.core.TextInstance

I

idf(String, List<List<String>>) - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

init(int) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

init(int) - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

init(int) - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

init(List<List<String>>, int) - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

init(int) - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

initCentroids() - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

Init clusters using the k-means++ algorithm.

initIfPossible(double[]) - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

initWeights(int) - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

initWeights(int) - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

Instance<L> - Class in com.github.pmerienne.trident.ml.core

Instance(L, double[]) - Constructor for class com.github.pmerienne.trident.ml.core.Instance

Instance(double[]) - Constructor for class com.github.pmerienne.trident.ml.core.Instance

InstanceCreator<L> - Class in com.github.pmerienne.trident.ml.preprocessing

InstanceCreator() - Constructor for class com.github.pmerienne.trident.ml.preprocessing.InstanceCreator

InstanceCreator(boolean) - Constructor for class com.github.pmerienne.trident.ml.preprocessing.InstanceCreator

isnGram() - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

isReady() - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

isWithLabel() - Method in class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

isWithLabel() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

isWithLabel() - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

isZeros(DoubleMatrix) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

iterator() - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

K

KeysUtil - Class in com.github.pmerienne.trident.ml.util

KeysUtil() - Constructor for class com.github.pmerienne.trident.ml.util.KeysUtil

KLDClassifier - Class in com.github.pmerienne.trident.ml.nlp

Text classifier and feature extractor using Kullback-Leibler Distance.

KLDClassifier() - Constructor for class com.github.pmerienne.trident.ml.nlp.KLDClassifier

KLDClassifier(int) - Constructor for class com.github.pmerienne.trident.ml.nlp.KLDClassifier

KLDClassifier(int, int) - Constructor for class com.github.pmerienne.trident.ml.nlp.KLDClassifier

KLDClassifier(int, int, double, boolean) - Constructor for class com.github.pmerienne.trident.ml.nlp.KLDClassifier

KMeans - Class in com.github.pmerienne.trident.ml.clustering

Inspired from http://www.cs.princeton.edu/courses/archive/fall08/cos436/Duda/C/sk_means.htm

KMeans(Integer) - Constructor for class com.github.pmerienne.trident.ml.clustering.KMeans

L

label - Variable in class com.github.pmerienne.trident.ml.core.Instance

label - Variable in class com.github.pmerienne.trident.ml.core.TextInstance

learningRate - Variable in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

learningRate - Variable in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

limitWords(Integer) - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

loadClassifier() - Static method in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier.Builder

loadClusteringData() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

loadFeatureExtractor() - Static method in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier.Builder

loadReutersData() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

loadReutersData() - Static method in class com.github.pmerienne.trident.ml.testing.ReutersBatchSpout

loadTwitterData() - Static method in class com.github.pmerienne.trident.ml.testing.data.Datasets

M

magnitude(double[]) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

main(String[]) - Static method in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier.Builder

MathUtil - Class in com.github.pmerienne.trident.ml.util

MathUtil() - Constructor for class com.github.pmerienne.trident.ml.util.MathUtil

mult(double[], double) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

MultiClassPAClassifier - Class in com.github.pmerienne.trident.ml.classification

MultiClassPAClassifier() - Constructor for class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

MultiClassPAClassifier(Integer) - Constructor for class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

MultiClassPAClassifier(Integer, MultiClassPAClassifier.Type) - Constructor for class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

MultiClassPAClassifier(Integer, MultiClassPAClassifier.Type, Double) - Constructor for class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

MultiClassPAClassifier.Type - Enum in com.github.pmerienne.trident.ml.classification

N

NANDSpout - Class in com.github.pmerienne.trident.ml.testing

NANDSpout() - Constructor for class com.github.pmerienne.trident.ml.testing.NANDSpout

nearestCentroid(double[]) - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

noise(Double) - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

norm(double[]) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

normalize(Instance<?>) - Method in class com.github.pmerienne.trident.ml.preprocessing.Normalizer

normalize(double[]) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

Normalizer - Class in com.github.pmerienne.trident.ml.preprocessing

Normalizer() - Constructor for class com.github.pmerienne.trident.ml.preprocessing.Normalizer

O

open(Map, TopologyContext) - Method in class com.github.pmerienne.trident.ml.testing.NANDSpout

open(Map, TopologyContext) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

open(Map, TopologyContext) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

P

PAClassifier - Class in com.github.pmerienne.trident.ml.classification

Passive-Aggresive binary classifier.

PAClassifier() - Constructor for class com.github.pmerienne.trident.ml.classification.PAClassifier

PAClassifier(PAClassifier.Type) - Constructor for class com.github.pmerienne.trident.ml.classification.PAClassifier

PAClassifier(PAClassifier.Type, Double) - Constructor for class com.github.pmerienne.trident.ml.classification.PAClassifier

PAClassifier.Type - Enum in com.github.pmerienne.trident.ml.classification

PARegressor - Class in com.github.pmerienne.trident.ml.regression

Passive-Aggresive regressor.

PARegressor() - Constructor for class com.github.pmerienne.trident.ml.regression.PARegressor

PARegressor(Double) - Constructor for class com.github.pmerienne.trident.ml.regression.PARegressor

PerceptronClassifier - Class in com.github.pmerienne.trident.ml.classification

PerceptronClassifier() - Constructor for class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

PerceptronClassifier(double, double, double) - Constructor for class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

PerceptronRegressor - Class in com.github.pmerienne.trident.ml.regression

PerceptronRegressor() - Constructor for class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

PerceptronRegressor(double) - Constructor for class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

predict(double[]) - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

predict(double[]) - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

predict(double[]) - Method in interface com.github.pmerienne.trident.ml.regression.Regressor

preprocess(String) - Method in class com.github.pmerienne.trident.ml.preprocessing.TwitterTokenizer

promotion - Variable in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

R

RandomFeaturesForClusteringSpout - Class in com.github.pmerienne.trident.ml.testing

RandomFeaturesForClusteringSpout() - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

RandomFeaturesForClusteringSpout(boolean) - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

RandomFeaturesForClusteringSpout(boolean, int) - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

RandomFeaturesForClusteringSpout(boolean, int, int) - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

RandomFeaturesSpout - Class in com.github.pmerienne.trident.ml.testing

RandomFeaturesSpout() - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

RandomFeaturesSpout(boolean) - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

RandomFeaturesSpout(int, double) - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

RandomFeaturesSpout(boolean, int, double) - Constructor for class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

RegressionQuery - Class in com.github.pmerienne.trident.ml.regression

RegressionQuery(String) - Constructor for class com.github.pmerienne.trident.ml.regression.RegressionQuery

RegressionUpdater - Class in com.github.pmerienne.trident.ml.regression

RegressionUpdater(String, Regressor) - Constructor for class com.github.pmerienne.trident.ml.regression.RegressionUpdater

Regressor - Interface in com.github.pmerienne.trident.ml.regression

reset() - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

reset() - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

reset() - Method in interface com.github.pmerienne.trident.ml.classification.Classifier

reset() - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

reset() - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

reset() - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

reset() - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

reset() - Method in interface com.github.pmerienne.trident.ml.clustering.Clusterer

reset() - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

reset() - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

reset() - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

reset() - Method in interface com.github.pmerienne.trident.ml.regression.Regressor

ReutersBatchSpout - Class in com.github.pmerienne.trident.ml.testing

ReutersBatchSpout() - Constructor for class com.github.pmerienne.trident.ml.testing.ReutersBatchSpout

REUTEURS_EVAL_SAMPLES - Static variable in class com.github.pmerienne.trident.ml.testing.ReutersBatchSpout

S

save(TFIDF, PAClassifier) - Static method in class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier.Builder

setAggressiveness(Double) - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

setAggressiveness(Double) - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

setBias(double) - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

setClustererName(String) - Method in class com.github.pmerienne.trident.ml.clustering.ClusterUpdater

setCorpusSize(Integer) - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

setDemotion(double) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

setDemotion(double) - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

setEpsilon(Double) - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

setFeatureSize(int) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

setFeatureSize(int) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

setInitialClusterer(Clusterer) - Method in class com.github.pmerienne.trident.ml.clustering.ClusterUpdater

setLearningRate(double) - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

setLearningRate(double) - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

setMaxBatchSize(int) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

setMaxBatchSize(int) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

setMaxNGram(int) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

setMinNGram(int) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

setNbClasses(Integer) - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

setNGram(int, int) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

setnGram(boolean) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

setPromotion(double) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

setPromotion(double) - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

setR(double) - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

setRandom(Random) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

setStemExclusionsSet(Set<String>) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

setStopWords(List<String>) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

setTermsInverseDocumentFrequencies(Map<String, Double>) - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

setTextAnalyser(TextTokenizer) - Method in class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

setThreshold(double) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

setThreshold(double) - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

setThreshold(double) - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

setType(MultiClassPAClassifier.Type) - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

setType(PAClassifier.Type) - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

setU(double[]) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

setV(double[]) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

setVariance(double[][]) - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

setVariance(double) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

setWeights(double[]) - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

setWeights(double[]) - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

setWeights(double[]) - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

setWeights(double[]) - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

setWeights(double[]) - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

setWeights(double[]) - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

setWeightVectors(double[][]) - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

setWithLabel(boolean) - Method in class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

setWithLabel(boolean) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesForClusteringSpout

setWithLabel(boolean) - Method in class com.github.pmerienne.trident.ml.testing.RandomFeaturesSpout

standardize(Instance<?>, StreamStatistics) - Method in class com.github.pmerienne.trident.ml.preprocessing.StandardScaler

StandardScaler - Class in com.github.pmerienne.trident.ml.preprocessing

StandardScaler() - Constructor for class com.github.pmerienne.trident.ml.preprocessing.StandardScaler

stemExclusionsSet - Variable in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

stopWords - Variable in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

StreamFeatureStatistics - Interface in com.github.pmerienne.trident.ml.stats

StreamFeatureStatisticsQuery - Class in com.github.pmerienne.trident.ml.stats

StreamFeatureStatisticsQuery(String) - Constructor for class com.github.pmerienne.trident.ml.stats.StreamFeatureStatisticsQuery

StreamStatistics - Class in com.github.pmerienne.trident.ml.stats

StreamStatistics() - Constructor for class com.github.pmerienne.trident.ml.stats.StreamStatistics

StreamStatistics(StreamStatistics.Type) - Constructor for class com.github.pmerienne.trident.ml.stats.StreamStatistics

StreamStatistics(StreamStatistics.Type, Long) - Constructor for class com.github.pmerienne.trident.ml.stats.StreamStatistics

StreamStatistics.Type - Enum in com.github.pmerienne.trident.ml.stats

StreamStatisticsQuery - Class in com.github.pmerienne.trident.ml.stats

StreamStatisticsQuery(String) - Constructor for class com.github.pmerienne.trident.ml.stats.StreamStatisticsQuery

StreamStatisticsUpdater - Class in com.github.pmerienne.trident.ml.stats

StreamStatisticsUpdater() - Constructor for class com.github.pmerienne.trident.ml.stats.StreamStatisticsUpdater

StreamStatisticsUpdater(String, StreamStatistics) - Constructor for class com.github.pmerienne.trident.ml.stats.StreamStatisticsUpdater

subtract(double[], double[]) - Static method in class com.github.pmerienne.trident.ml.util.MathUtil

T

TextClassifier<L> - Interface in com.github.pmerienne.trident.ml.nlp

TextClassifierUpdater<L> - Class in com.github.pmerienne.trident.ml.nlp

TextClassifierUpdater(String, TextClassifier<L>) - Constructor for class com.github.pmerienne.trident.ml.nlp.TextClassifierUpdater

TextFeaturesExtractor - Interface in com.github.pmerienne.trident.ml.nlp

TextInstance<L> - Class in com.github.pmerienne.trident.ml.core

TextInstance(List<String>) - Constructor for class com.github.pmerienne.trident.ml.core.TextInstance

TextInstance(L, List<String>) - Constructor for class com.github.pmerienne.trident.ml.core.TextInstance

TextInstanceCreator<L> - Class in com.github.pmerienne.trident.ml.preprocessing

TextInstanceCreator() - Constructor for class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

TextInstanceCreator(boolean) - Constructor for class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

TextInstanceCreator(boolean, TextTokenizer) - Constructor for class com.github.pmerienne.trident.ml.preprocessing.TextInstanceCreator

TextTokenizer - Interface in com.github.pmerienne.trident.ml.preprocessing

tf(String, List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

TFIDF - Class in com.github.pmerienne.trident.ml.nlp

TFIDF() - Constructor for class com.github.pmerienne.trident.ml.nlp.TFIDF

TFIDF(List<List<String>>, int) - Constructor for class com.github.pmerienne.trident.ml.nlp.TFIDF

tfIdf(String, List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.TFIDF

threshold - Variable in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

threshold - Variable in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

tokenize(String) - Method in class com.github.pmerienne.trident.ml.preprocessing.EnglishTokenizer

tokenize(String) - Method in interface com.github.pmerienne.trident.ml.preprocessing.TextTokenizer

tokenize(String) - Method in class com.github.pmerienne.trident.ml.preprocessing.TwitterTokenizer

tokens - Variable in class com.github.pmerienne.trident.ml.core.TextInstance

toKeys(Object) - Static method in class com.github.pmerienne.trident.ml.util.KeysUtil

toString() - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

toString() - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

toString() - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

toString() - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

toString() - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

toString() - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

toString() - Method in class com.github.pmerienne.trident.ml.clustering.ClusterUpdater

toString() - Method in class com.github.pmerienne.trident.ml.core.Instance

toString() - Method in class com.github.pmerienne.trident.ml.core.TextInstance

toString() - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

toString() - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

toString() - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

toString() - Method in class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

toString() - Method in class com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics

toString() - Method in class com.github.pmerienne.trident.ml.stats.StreamStatistics

totalCount() - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

TwitterSentimentClassifier - Class in com.github.pmerienne.trident.ml.nlp

TwitterSentimentClassifier() - Constructor for class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier

TwitterSentimentClassifier.Builder - Class in com.github.pmerienne.trident.ml.nlp

TwitterSentimentClassifier.Builder() - Constructor for class com.github.pmerienne.trident.ml.nlp.TwitterSentimentClassifier.Builder

TwitterTokenizer - Class in com.github.pmerienne.trident.ml.preprocessing

TwitterTokenizer() - Constructor for class com.github.pmerienne.trident.ml.preprocessing.TwitterTokenizer

TwitterTokenizer(int, int) - Constructor for class com.github.pmerienne.trident.ml.preprocessing.TwitterTokenizer

U

update(Boolean, double[]) - Method in class com.github.pmerienne.trident.ml.classification.AROWClassifier

update(Boolean, double[]) - Method in class com.github.pmerienne.trident.ml.classification.BWinnowClassifier

update(L, double[]) - Method in interface com.github.pmerienne.trident.ml.classification.Classifier

update(Integer, double[]) - Method in class com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier

update(Boolean, double[]) - Method in class com.github.pmerienne.trident.ml.classification.PAClassifier

update(Boolean, double[]) - Method in class com.github.pmerienne.trident.ml.classification.PerceptronClassifier

update(Boolean, double[]) - Method in class com.github.pmerienne.trident.ml.classification.WinnowClassifier

update(double[]) - Method in interface com.github.pmerienne.trident.ml.clustering.Clusterer

Updates clusters with a given sample and return classification.

update(double[]) - Method in class com.github.pmerienne.trident.ml.clustering.KMeans

update(Integer, List<String>) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

update(L, List<String>) - Method in interface com.github.pmerienne.trident.ml.nlp.TextClassifier

update(Double, double[]) - Method in class com.github.pmerienne.trident.ml.regression.PARegressor

update(Double, double[]) - Method in class com.github.pmerienne.trident.ml.regression.PerceptronRegressor

update(Double, double[]) - Method in interface com.github.pmerienne.trident.ml.regression.Regressor

update(double) - Method in class com.github.pmerienne.trident.ml.stats.AdaptiveStreamFeatureStatistics

update(double) - Method in class com.github.pmerienne.trident.ml.stats.FixedStreamFeatureStatistics

update(double) - Method in interface com.github.pmerienne.trident.ml.stats.StreamFeatureStatistics

update(double[]) - Method in class com.github.pmerienne.trident.ml.stats.StreamStatistics

updateState(MapState<Classifier<L>>, List<TridentTuple>, TridentCollector) - Method in class com.github.pmerienne.trident.ml.classification.ClassifierUpdater

updateState(MapState<Clusterer>, List<TridentTuple>, TridentCollector) - Method in class com.github.pmerienne.trident.ml.clustering.ClusterUpdater

updateState(MapState<TextClassifier<L>>, List<TridentTuple>, TridentCollector) - Method in class com.github.pmerienne.trident.ml.nlp.TextClassifierUpdater

updateState(MapState<Regressor>, List<TridentTuple>, TridentCollector) - Method in class com.github.pmerienne.trident.ml.regression.RegressionUpdater

updateState(MapState<StreamStatistics>, List<TridentTuple>, TridentCollector) - Method in class com.github.pmerienne.trident.ml.stats.StreamStatisticsUpdater

updateStatistics(StreamStatistics, List<Instance<?>>) - Method in class com.github.pmerienne.trident.ml.stats.StreamStatisticsUpdater

V

valueOf(String) - Static method in enum com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.github.pmerienne.trident.ml.classification.PAClassifier.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum com.github.pmerienne.trident.ml.stats.StreamStatistics.Type

Returns the enum constant of this type with the specified name.

values() - Static method in enum com.github.pmerienne.trident.ml.classification.MultiClassPAClassifier.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.github.pmerienne.trident.ml.classification.PAClassifier.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum com.github.pmerienne.trident.ml.stats.StreamStatistics.Type

Returns an array containing the constants of this enum type, in the order they are declared.

Vocabulary - Class in com.github.pmerienne.trident.ml.nlp

Vocabulary() - Constructor for class com.github.pmerienne.trident.ml.nlp.Vocabulary

Vocabulary(List<String>) - Constructor for class com.github.pmerienne.trident.ml.nlp.Vocabulary

W

WinnowClassifier - Class in com.github.pmerienne.trident.ml.classification

WinnowClassifier() - Constructor for class com.github.pmerienne.trident.ml.classification.WinnowClassifier

WinnowClassifier(double, double, double) - Constructor for class com.github.pmerienne.trident.ml.classification.WinnowClassifier

wordCount() - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

wordProbabilityInCategory(String, int) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

wordProbabilityInDocument(String, Vocabulary, double) - Method in class com.github.pmerienne.trident.ml.nlp.KLDClassifier

wordSet() - Method in class com.github.pmerienne.trident.ml.nlp.Vocabulary

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