attributeSelectionSearchMethods · This package provides four search methods for attribute selection: ExhaustiveSearch, GeneticSearch, RandomSearch and RankSearch. See: David E. Goldberg (1989). Genetic algorithms in search, optimization and machine learning. Addison-Wesley. Mark Hall, Geoffrey Holmes (2003). Benchmarking attribute selection techniques for discrete class data mining. IEEE Transactions on Knowledge and Data Engineering. 15(6):1437-1447.

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Version		Vulnerabilities	Size	Updated
1.0.x	attributeSelectionSearchMethods-1.0.7.jar		30.31 KB	Apr 27, 2014
	attributeSelectionSearchMethods-1.0.6.jar		30.50 KB	Jun 23, 2013
	attributeSelectionSearchMethods-1.0.4.jar		28.74 KB	Jun 25, 2012
	attributeSelectionSearchMethods-1.0.3.jar		28.52 KB	Apr 26, 2012
	attributeSelectionSearchMethods-1.0.2.jar		28.51 KB	Apr 23, 2012

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weka.attributeSelection

├─ weka.attributeSelection.ExhaustiveSearch.class - [JAR]

├─ weka.attributeSelection.GeneticSearch.class - [JAR]

├─ weka.attributeSelection.RandomSearch.class - [JAR]

├─ weka.attributeSelection.RankSearch.class - [JAR]