Uses of Interface
com.aliasi.util.FeatureExtractor

Packages that use FeatureExtractor

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.cluster	Classes for clustering data and evaluation.
com.aliasi.dca	Classes for fitting and running discrete choice analysis (DCA) models.
com.aliasi.features	Classes for extracting feature vectors from objects and parsing objects for feature handlers.
com.aliasi.test.unit.features
com.aliasi.tokenizer	Classes for tokenizing character sequences.

Uses of FeatureExtractor in com.aliasi.classify

Methods in com.aliasi.classify that return FeatureExtractor

Modifier and Type	Method and Description
FeatureExtractor<? super E>	TfIdfClassifierTrainer.featureExtractor() Return the feature extractor for this classifier.
FeatureExtractor<? super E>	PerceptronClassifier.featureExtractor() Returns the feature extractor for this perceptron.
FeatureExtractor<? super E>	KnnClassifier.featureExtractor() Returns the feature extractor for ths KNN classifier.
FeatureExtractor<E>	BernoulliClassifier.featureExtractor() Return the feature extractor for this classifier.
FeatureExtractor<E>	LogisticRegressionClassifier.featureExtractor() Returns an immutable view of the feature extractor for this classifier.

Methods in com.aliasi.classify with parameters of type FeatureExtractor

Modifier and Type	Method and Description
static <F> LogisticRegressionClassifier<F>	LogisticRegressionClassifier.train(Corpus<ObjectHandler<Classified<F>>> corpus, FeatureExtractor<? super F> featureExtractor, int minFeatureCount, boolean addInterceptFeature, RegressionPrior prior, AnnealingSchedule annealingSchedule, double minImprovement, int minEpochs, int maxEpochs, Reporter reporter) Returns a trained logistic regression classifier given the specified feature extractor, training corpus, model priors and search parameters.
static <F> LogisticRegressionClassifier<F>	LogisticRegressionClassifier.train(Corpus<ObjectHandler<Classified<F>>> corpus, FeatureExtractor<? super F> featureExtractor, int minFeatureCount, boolean addInterceptFeature, RegressionPrior prior, int blockSize, LogisticRegressionClassifier<F> hotStart, AnnealingSchedule annealingSchedule, double minImprovement, int rollingAverageSize, int minEpochs, int maxEpochs, ObjectHandler<LogisticRegressionClassifier<F>> classifierHandler, Reporter reporter) Returns a trained logistic regression classifier given the specified feature extractor, training corpus, model priors and search parameters.

Constructors in com.aliasi.classify with parameters of type FeatureExtractor

Constructor and Description
BernoulliClassifier(FeatureExtractor<E> featureExtractor) Construct a Bernoulli classifier with the specified feature extractor and the default feature activation threshold of 0.0.
BernoulliClassifier(FeatureExtractor<E> featureExtractor, double featureActivationThreshold) Construct a Bernoulli classifier with the specified feature extractor and specified feature activation threshold.
KnnClassifier(FeatureExtractor<? super E> featureExtractor, int k) Construct a k-nearest-neighbor classifier based on the specified feature extractor and using the specified number of neighbors.
KnnClassifier(FeatureExtractor<? super E> featureExtractor, int k, Distance<Vector> distance) Construct a k-nearest-neighbor classifier based on the specified feature extractor, specified maximum number of neighbors, and specified distance function.
KnnClassifier(FeatureExtractor<? super E> extractor, int k, Proximity<Vector> proximity, boolean weightByProximity) Construct a k-nearest-neighbor classifier based on the specified feature extractor, specified maximum number of neighbors, specified proximity function, and boolean flag indicating whether or not to weight nearest neighbors by proximity during classification.
PerceptronClassifier(Corpus<ObjectHandler<Classified<E>>> corpus, FeatureExtractor<? super E> featureExtractor, KernelFunction kernelFunction, String corpusAcceptCategory, int numIterations, String outputAcceptCategory, String outputRejectCategory) Construct a perceptron classifier from the specified feature extractor, corpus with designated accept category, polynomial kernel degree and number of training iterations, and output accept and reject categories.
TfIdfClassifierTrainer(FeatureExtractor<? super E> featureExtractor) Construct a TF/IDF classifier trainer based on the specified feature extractor.

Uses of FeatureExtractor in com.aliasi.cluster

Methods in com.aliasi.cluster that return FeatureExtractor

Modifier and Type	Method and Description
FeatureExtractor<E>	KMeansClusterer.featureExtractor() Returns the feature extractor for this clusterer.

Constructors in com.aliasi.cluster with parameters of type FeatureExtractor

Constructor and Description
KMeansClusterer(FeatureExtractor<E> featureExtractor, int numClusters, int maxEpochs, boolean kMeansPlusPlus, double minImprovement) Construct a k-means clusterer with the specified feature extractor, number of clusters, minimum improvement per cluster, using either traditional or k-means++ initialization.

Uses of FeatureExtractor in com.aliasi.dca

Methods in com.aliasi.dca that return FeatureExtractor

Modifier and Type	Method and Description
FeatureExtractor<E>	DiscreteObjectChooser.featureExtractor() Return the feature extractor for this chooser.

Methods in com.aliasi.dca with parameters of type FeatureExtractor

Modifier and Type

Method and Description

static <F> DiscreteObjectChooser<F>

DiscreteObjectChooser.estimate(FeatureExtractor<F> featureExtractor, List<List<F>> alternativeObjectss, int[] choices, int minFeatureCount, RegressionPrior prior, int priorBlockSize, AnnealingSchedule annealingSchedule, double minImprovement, int minEpochs, int maxEpochs, Reporter reporter) Because intercepts are ignored, they are not added to feature maps and should not be treated as noninformative in the prior.

Constructors in com.aliasi.dca with parameters of type FeatureExtractor

Constructor and Description
DiscreteObjectChooser(FeatureExtractor<E> featureExtractor, SymbolTable featureSymbolTable, DiscreteChooser chooser) Construct a discrete chooser based on the specified feature extractor, feature symbol table, and base chooser.

Uses of FeatureExtractor in com.aliasi.features

Classes in com.aliasi.features that implement FeatureExtractor

Modifier and Type	Class and Description
class	AddFeatureExtractor<E> An AddFeatureExtractor returns feature vectors that result from summing the feature vectors returned by a collection of contained feature extractors.
class	BoundedFeatureExtractor<E> A BoundedFeatureExtractor provides a lower-bound and upper-bound on feature values between which all values from a contained base extractor are bounded.
class	CacheFeatureExtractor<E> A CacheFeatureExtractor uses a cache to store a mapping from objects to their feature vector maps.
class	ChunkerFeatureExtractor A ChunkerFeatureExtractor implements a feature extractor for character sequences based on a specified chunker.
class	FeatureExtractorFilter<E> A FeatureExtractorFilter contains a reference to another feature extractor.
class	InteractionFeatureExtractor<E> An InteractionFeatureExtractor produces interaction features between two feature extractors.
class	KnownFeatureExtractor<E> A KnownFeatureExtractor restricts a base feature extractor to features contained in a set provided at construction time.
class	LengthNormFeatureExtractor<E> A LengthNormFeatureExtractor converts feature vectors produced by a contained extractor into unit length vectors.
class	ModifiedFeatureExtractor<E> A ModifiedFeatureExtractor allows feature values to be modified in a feature-specific fashion.
class	PrefixedFeatureExtractor<E> A PrefixedFeatureExtractor applies a specified prefix to all of the feature names from a base feature extractor.
class	StringLengthFeatureExtractor A StringLengthFeatureExtractor implements a feature extractor that provides string length features based on a specified set of string lengths.
class	ZScoreFeatureExtractor<E> A ZScoreFeatureExtractor converts features to their z-scores, where means and deviations are determined by a corpus supplied at compile time.

Methods in com.aliasi.features that return FeatureExtractor

Modifier and Type	Method and Description
FeatureExtractor<? super E>	FeatureExtractorFilter.baseExtractor() Returns the contained feature extractor.

Methods in com.aliasi.features that return types with arguments of type FeatureExtractor

Modifier and Type	Method and Description
List<FeatureExtractor<? super E>>	AddFeatureExtractor.baseFeatureExtractors() Returns an unmodifiable view of the list of base feature extractors for this additive feature extractor.

Constructors in com.aliasi.features with parameters of type FeatureExtractor

Constructor and Description
AddFeatureExtractor(FeatureExtractor<? super E>... extractors) Construct an additive feature extractor from the specified extractors.
AddFeatureExtractor(FeatureExtractor<? super E> extractor1, FeatureExtractor<? super E> extractor2) Construct an additive feature extractor from the specified pair of extractors.
AddFeatureExtractor(FeatureExtractor<? super E> extractor1, FeatureExtractor<? super E> extractor2) Construct an additive feature extractor from the specified pair of extractors.
BoundedFeatureExtractor(FeatureExtractor<? super E> extractor, double minValue, double maxValue) Construct a bounded feature extractor that bounds the feature values produced by the specified extractor to be within the specified minimum and maximum values.
CacheFeatureExtractor(FeatureExtractor<? super E> extractor, Map<E,Map<String,? extends Number>> cache) Construct a cached feature extractor that caches the results of the specified extractor using the specified cache.
FeatureExtractorFilter(FeatureExtractor<? super E> extractor) Construct a feature extractor filter from the specified feature extractor.
InteractionFeatureExtractor(String prefix, String separator, FeatureExtractor<E> extractor) Construct a feature extractor for interactions between the features extracted by the specified extractor, creating new features with the specified prefix and separator.
InteractionFeatureExtractor(String prefix, String separator, FeatureExtractor<E> extractor1, FeatureExtractor<E> extractor2) Construct a feature extractor for interactions between the features extracted by the specified extractors, creating new features with the specified prefix and separator.
InteractionFeatureExtractor(String prefix, String separator, FeatureExtractor<E> extractor1, FeatureExtractor<E> extractor2) Construct a feature extractor for interactions between the features extracted by the specified extractors, creating new features with the specified prefix and separator.
KnownFeatureExtractor(FeatureExtractor<? super E> baseExtractor, Set<String> knownFeatureSet) Construct a known feature extractor based on the specified feature set and base extractor.
LengthNormFeatureExtractor(FeatureExtractor<? super E> extractor) Construct a length-normalized feature extractor from the specified extractor.
ModifiedFeatureExtractor(FeatureExtractor<? super E> extractor) Construct a modified feature extractor with the specified base extractor.
PrefixedFeatureExtractor(String prefix, FeatureExtractor<E> extractor) Construct a feature extractor that adds the specified prefix to feature names extracted by the specified extractor.
ZScoreFeatureExtractor(Corpus<ObjectHandler<Classified<E>>> corpus, FeatureExtractor<? super E> extractor) Construct a z-core feature extractor from the specified base feature extractor and the training section of the supplied corpus.

Constructor parameters in com.aliasi.features with type arguments of type FeatureExtractor

Constructor and Description
AddFeatureExtractor(Collection<? extends FeatureExtractor<? super E>> extractors) Construct an additive feature extractor from the specified collection of extractors.

Uses of FeatureExtractor in com.aliasi.test.unit.features

Classes in com.aliasi.test.unit.features that implement FeatureExtractor

Modifier and Type	Class and Description
class	MockFeatureExtractor
class	SerializableMockFeatureExtractor

Methods in com.aliasi.test.unit.features with parameters of type FeatureExtractor

Modifier and Type	Method and Description
static <E> void	MockFeatureExtractor.assertFeats(FeatureExtractor<E> fe, E in, String[] feats, double[] vals)

Uses of FeatureExtractor in com.aliasi.tokenizer

Classes in com.aliasi.tokenizer that implement FeatureExtractor

Modifier and Type	Class and Description
class	TokenFeatureExtractor A TokenFeatureExtractor produces feature vectors from character sequences representing token counts.