Uses of Class
com.pervasive.datarush.analytics.cluster.MissingValueWeights

Packages that use MissingValueWeights

Package	Description
com.pervasive.datarush.analytics.cluster	Provides base PMML for clustering models.

Uses of MissingValueWeights in com.pervasive.datarush.analytics.cluster

Methods in com.pervasive.datarush.analytics.cluster that return MissingValueWeights

Modifier and Type	Method	Description
MissingValueWeights	MissingValueWeights.Builder.build()	Verifies the previously provided values and builds MissingValueWeights instance based on these values.
static MissingValueWeights	MissingValueWeights.createDefault(int size)	Creates a MissingValueWeights instance with a numArray of the requested size filled with 1.0s (default value according to the PMML specification).
MissingValueWeights	PMMLClusteringModel.getMissingValueWeights()	Gets the MissingValueWeights of this model.

Methods in com.pervasive.datarush.analytics.cluster with parameters of type MissingValueWeights

Modifier and Type	Method	Description
PMMLClusteringModel.Builder	PMMLClusteringModel.Builder.missingValueWeights(MissingValueWeights missingValueWeights)	Returns a builder that builds PMMLClusteringModel instances with the provided missing value weights and other parameters set to the previously provided values.