Uses of Class
proper.engine.Engine

Packages that use Engine
proper.engine The engine classes (all derived from Engine ) perform the actions defined by the parameters they get from the Application-classes. 
 

Uses of Engine in proper.engine
 

Subclasses of Engine in proper.engine
 class Arffer
          This class exports the data from a table to an ARFF-file.

 class BagArffer
          This class exports the data from a table to an ARFF-file that can be used for MILK (multi instance learning kit, based on Weka).
If the bag is not provided the first index is taken in the target table.

 class DatabaseEngine
          This class encapsulates some common code for Engines that access DBs.
 class Flattener
          This class flattens a given relational database into one table.
 class Importer
          This class imports the specified datafiles (Prolog or CSV) into a database.
If verbose level is >=1 the parser's verbose is set to TRUE, if it is >=2 then also the inserts are printed to stdout (can be pretty much!).
 class Instancer
          This class creates Instances directly from the previously propositionalized database and stores them under the parameter "instances".

 class Milk
          This class starts an MILK classifier with either an ARFF-file (Parameter "type" is then "output") or previously generated Instances (Paramter "type" is then "instances").
 class MilkClassifier
          This class trains a MILK classifier and classifies given instances.
 class MilkExperimenter
          This class runs experiments with a given ARFF-file.
It is using MILK (the Multi Instance extension of WEKA).

 class Propagator
          Transforms a tree structure of relations between tables into a star structure with a depth of one, i.e.
 class Relaggs
          This class is a wrapper around RELAGGS (Propositionalization of a relational data model).
 class ReMilker
          This class combines the aggregation from MILK and RELAGGS.
 class Weka
          This class starts a WEKA classifier with either an ARFF-file (Parameter "type" is then "output") or previously generated Instances (Paramter "type" is then "instances").
 class WekaClassifier
          This class trains a WEKA classifier and classifies given instances.
 class WekaExperimenter
          This class runs experiments with a given ARFF-file.
It uses the WEKA Experimenter for this.

 

Methods in proper.engine with parameters of type Engine
 void Engine.copyParameter(java.lang.String name, Engine engine)
          copies the given parameter from the other engine
 void Engine.setParameters(Engine engine)
          sets all the parameters from the given engine and initializes the engine