文件名称:machine_learning

  • 所属分类:
  • JSP源码/Java
  • 资源属性:
  • [Java] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 4.89mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • m***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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机器学习weka包源代码,实现了各种机器学习算法-Weka machine learning package source code, to achieve a variety of machine learning algorithms
(系统自动生成,下载前可以参看下载内容)

下载文件列表

weka

....\associations

....\............\AbstractAssociator.java

....\............\Apriori.java

....\............\AprioriItemSet.java

....\............\Associator.java

....\............\AssociatorEvaluation.java

....\............\CaRuleGeneration.java

....\............\CARuleMiner.java

....\............\CheckAssociator.java

....\............\FilteredAssociator.java

....\............\FPGrowth.java

....\............\GeneralizedSequentialPatterns.java

....\............\gsp

....\............\...\Element.java

....\............\...\Sequence.java

....\............\ItemSet.java

....\............\LabeledItemSet.java

....\............\PredictiveApriori.java

....\............\PriorEstimation.java

....\............\RuleGeneration.java

....\............\RuleItem.java

....\............\SingleAssociatorEnhancer.java

....\............\tertius

....\............\.......\AttributeValueLiteral.java

....\............\.......\Body.java

....\............\.......\Head.java

....\............\.......\IndividualInstance.java

....\............\.......\IndividualInstances.java

....\............\.......\IndividualLiteral.java

....\............\.......\Literal.java

....\............\.......\LiteralSet.java

....\............\.......\Predicate.java

....\............\.......\Rule.java

....\............\.......\SimpleLinkedList.java

....\............\Tertius.java

....\attributeSelection

....\..................\ASEvaluation.java

....\..................\ASSearch.java

....\..................\AttributeEvaluator.java

....\..................\AttributeSelection.java

....\..................\AttributeSetEvaluator.java

....\..................\AttributeTransformer.java

....\..................\BestFirst.java

....\..................\CfsSubsetEval.java

....\..................\CheckAttributeSelection.java

....\..................\ChiSquaredAttributeEval.java

....\..................\ClassifierSubsetEval.java

....\..................\ConsistencySubsetEval.java

....\..................\CostSensitiveASEvaluation.java

....\..................\CostSensitiveAttributeEval.java

....\..................\CostSensitiveSubsetEval.java

....\..................\ErrorBasedMeritEvaluator.java

....\..................\ExhaustiveSearch.java

....\..................\FilteredAttributeEval.java

....\..................\FilteredSubsetEval.java

....\..................\GainRatioAttributeEval.java

....\..................\GeneticSearch.java

....\..................\GreedyStepwise.java

....\..................\HoldOutSubsetEvaluator.java

....\..................\InfoGainAttributeEval.java

....\..................\LatentSemanticAnalysis.java

....\..................\LFSMethods.java

....\..................\LinearForwardSelection.java

....\..................\OneRAttributeEval.java

....\..................\PrincipalComponents.java

....\..................\RaceSearch.java

....\..................\RandomSearch.java

....\..................\RankedOutputSearch.java

....\..................\Ranker.java

....\..................\RankSearch.java

....\..................\ReliefFAttributeEval.java

....\..................\ScatterSearchV1.java

....\..................\StartSetHandler.java

....\..................\SubsetEvaluator.java

....\..................\SubsetSizeForwardSelection.java

....\..................\SVMAttributeEval.java

....\..................\SymmetricalUncertAttributeEval.java

....\..................\UnsupervisedAttributeEvaluator.java

....\..................\UnsupervisedSubsetEvaluator.java

....\..................\WrapperSubsetEval.java

....\classifiers

....\...........\bayes

....\...........\.....\AODE.java

....\...........\.....\AODEsr.java

....\...........\.....\BayesianLogisticRegression.java

....\...........\.....\BayesNet.java

....\...........\.....\blr

....\...........\.....\...\GaussianPriorImpl.java

....\...........\.....\...\LaplacePriorImpl.java

....\...........\.....\...\Prior.java

....\...........\.....\ComplementNaiveBayes.java

....\...........\.....\DMNBtext.java

....\...........\.....\HNB.java

....\...........\.....\NaiveBayes.java

....\...........\.....\NaiveBayesMultinomial.java

....\...........\.....

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