Uses of Class
com.pervasive.datarush.analytics.cluster.MissingValueWeights
Packages that use MissingValueWeights
Package
Description
Provides base PMML for clustering models.
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Uses of MissingValueWeights in com.pervasive.datarush.analytics.cluster
Methods in com.pervasive.datarush.analytics.cluster that return MissingValueWeightsModifier and TypeMethodDescriptionMissingValueWeights.Builder.build()Verifies the previously provided values and buildsMissingValueWeightsinstance based on these values.static MissingValueWeightsMissingValueWeights.createDefault(int size) Creates aMissingValueWeightsinstance with a numArray of the requested size filled with 1.0s (default value according to the PMML specification).PMMLClusteringModel.getMissingValueWeights()Gets theMissingValueWeightsof this model.Methods in com.pervasive.datarush.analytics.cluster with parameters of type MissingValueWeightsModifier and TypeMethodDescriptionPMMLClusteringModel.Builder.missingValueWeights(MissingValueWeights missingValueWeights) Returns a builder that buildsPMMLClusteringModelinstances with the provided missing value weights and other parameters set to the previously provided values.