Package csli.util.classify.berkeley

This package provides classes for machine learning/classification, implemented using the Berkeley (Heloise Hse) underlying data structures.

See:
Description

Interface Summary

Learner

Class Summary

C4_5Learner	Interface for C4.5 decision tree learner/classifier
Classification	Data structure for storing the confidence value when an example is classified.
ClassificationSet	Data structure for storing a set of confidence values in descending order.
FeatureMap	A TreeMap extension for feature data - an indexed vector of values for a single feature.
FeatureSet	A data structure for storing feature/value pairs for an example.
FeatureSetMap	A TreeMap extension for feature data - a map from keys to FeatureSets (values for a set of features).
LearnerFactory
SvmLearner	Interface for SVMlight support vector machine learner/classifier
TrainingSet	Data structure for storing multiple sets of training data.
TrainingType	Data structure for storing a set of training data consisting of positive and negative examples for a class.

Package csli.util.classify.berkeley Description

This package provides classes for machine learning/classification, implemented using the Berkeley (Heloise Hse) underlying data structures.