org.apache.spark.streamdm.core

Model

trait Model extends Serializable

A Model trait defines the needed operations on any learning Model. It provides a method for updating the model.

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Known Subclasses
BucketManager, ClassificationModel, Clusters, HoeffdingTreeModel, LinearModel, MicroClusters, MultinomialNaiveBayesModel
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Type Members

  1. abstract type T <: Model

Abstract Value Members

  1. abstract def update(change: Example): T

    Update the model, depending on the Instance given for training.

    Update the model, depending on the Instance given for training.

    change

    the example based on which the Model is updated

    returns

    the updated Model

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  1. final def !=(arg0: AnyRef): Boolean

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  10. def finalize(): Unit

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  11. final def getClass(): Class[_]

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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