Package de.fu_berlin.ties.classify.feature

This package contains classes for working with features, feature vectors and feature transformers.

See:
          Description

Interface Summary
FeatureExtractor Feature extractors extract features from text sequences.
 

Class Summary
DefaultFeature Default implementation of the Feature class.
DefaultFeatureVector This feature vector implementation stores an ordered sequence of features.
Feature An abstract base class for immutable feature representation used for classification.
FeatureExtractorFactory Static factory for initializing feature extractors.
FeatureSet This feature vector implementation stores a set of features.
FeatureTransformer A feature transformer transforms a feature vector in a suitable way.
FeatureVector A feature vector contains the features representing an instance.
OSBTransformer Transforms a feature vector using the orthogonal sparse bigrams (OSB) technique developed by Fidelis Assis.
SBPHTransformer Transforms a feature vector using a simple implementation of the sparse binary polynomial hashing (SBPH) technique introduced by CRM114.
 

Package de.fu_berlin.ties.classify.feature Description

This package contains classes for working with features, feature vectors and feature transformers.



Copyright © 2003-2007 Christian Siefkes. All Rights Reserved.