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!