Class

org.pmml4s.model

MeanClusterDistances

Related Doc: package model

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class MeanClusterDistances extends PmmlElement

Contains an array of non-negative real values, it is required when the algorithm type is clusterMeanDist. The length of the array must equal the number of clusters in the model, and the values in it are the mean distances/similarities to the center for each cluster.

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PmmlElement, Serializable, Serializable, HasExtensions, AnyRef, Any
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Instance Constructors

  1. new MeanClusterDistances(array: Array[Double])

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Value Members

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

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. val array: Array[Double]

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  9. def extensions: Seq[Extension]

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  11. def hasExtensions: Boolean

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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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  18. def toString(): String

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

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  21. final def wait(): Unit

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Deprecated Value Members

  1. def finalize(): Unit

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    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from PmmlElement

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