Inheritance diagram for kddml.Operators.Preprocessing.SamplingAlgorithms.STRATIFIED_SAMPLING_RESOLVER:
Public Member Functions | |
void | readParameters (Hashtable< String, KDDMLScalarManager > parameters) throws ResolverException, KDDMLCoreException |
void | readStatistics (DataStatisticsManager statistic) throws ResolverException, KDDMLCoreException |
String | getHistoryDescription () |
int[] | campionate (Instances instances) throws ResolverException |
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
Sandra Zimei
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Reads the XML parameters related to a generic algorithm stored in the ALGORITHM entity. An algorithm settings object captures the parameters associated with a particular algorithm. It allows a knowledgeable user to fine tune algorithm parameters. Generally, not all parameters must be specified, however, those specified are taken into account by the KDDML.
Implements kddml.Operators.AlgorithmResolverTask. |
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Reads the data statistics related to the preprocessing table.
Implements kddml.Operators.Preprocessing.SamplingAlgorithms.SamplingAlgorithmResolverTask. |
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Returns a description of the actions performed by this preprocessing algorithm. This description will be reported in the history related to the preprocessing data source.
Implements kddml.Operators.Preprocessing.PPAlgorithmResolverTask. |
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Main method that campionates the input set of instances given as weka.core.Instances. The method returns an array of indexes that refere to the input campioned instances.
Implements kddml.Operators.Preprocessing.SamplingAlgorithms.SamplingAlgorithmResolverTask. |