Package org.jscience.computing.ai.casebasedreasoning

Class Summary

DataSetStatistics	This is a collection of TraitStatistics objects There is one TraitStatistics object per Trait (the name is plural because each trait has multiple stats) DataSetStatistics builds the collection of TraitStatistics and is responsible for converting everything to floating points, which is what TraitStatistics wants Strings and booleans aren't really processed.
DisplayManager	DOCUMENT ME!
FilterCriteria
FilterCriterion	DOCUMENT ME!
FilterEngine	DOCUMENT ME!
Item
ItemManager
Items	DOCUMENT ME!
Log	A temp class to help me centralize all my writes to stdout Doesn't need to be instantiated - just call Log.log
MatchingItemsManager	Now that i think about it, this class seems awfully silly.
QueryManager	DOCUMENT ME!
QueryReader
SimilarItems	DOCUMENT ME!
SimilarityCriteria	DOCUMENT ME!
SimilarityCriterion	DOCUMENT ME!
SimilarityCriterionScore	DOCUMENT ME!
SimilarityCriterionScores	DOCUMENT ME!
SimilarityDescription
SimilarityEngine	Pass it a bunch of data and the SimilarityEngine figures out how similar each item is (%) to a specified goal
SimilarityWeights	DOCUMENT ME!
Trait	DOCUMENT ME!
TraitDescriptor	This class is the meta data for the traits That means the trait name and data type
TraitDescriptors	DOCUMENT ME!
Traits
TraitStatistics	The TraitStatistics class contains statistical info about the various values for a single, specific trait.
TraitValue	DOCUMENT ME!