weka-kt

Name	Summary
evaluate	`fun` `Clusterer.evaluate(trainData:` `Instances, testData:` `Instances):` `ClusterEvaluation` Create a clusterer evaluation. Builds the clusterer and tests it on the given test set. `fun` `Clusterer.evaluate(data:` `Instances, testPercentage:` `Double):` `ClusterEvaluation` Create a clusterer evaluation. Split input data into train and test set. Builds the clusterer on the training set and tests it on the test set.
evaluateTestSet	`fun` `Clusterer.evaluateTestSet(testData:` `Instances):` `ClusterEvaluation` Create a clusterer evaluation. Tests the clusterer on the given test set.
makeFiltered	`fun <T :` `Filter>` `Clusterer.makeFiltered(filter:` `T, body:` `T.() ->` `Unit):` `FilteredClusterer` Wraps this classifier in a FilteredClusterer and adds the given filter object.

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