Class

org.apache.spark.mllib.fpm

FPGrowthModel

Related Doc: package fpm

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class FPGrowthModel[Item] extends Serializable

:: Experimental ::

Model trained by FPGrowth, which holds frequent itemsets.

Item

item type

Annotations
@Since( "1.3.0" ) @Experimental()
Linear Supertypes
Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new FPGrowthModel(freqItemsets: RDD[FreqItemset[Item]])(implicit arg0: ClassTag[Item])

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    freqItemsets

    frequent itemset, which is an RDD of FreqItemset

    Annotations
    @Since( "1.3.0" )

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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  9. val freqItemsets: RDD[FreqItemset[Item]]

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    frequent itemset, which is an RDD of FreqItemset

    frequent itemset, which is an RDD of FreqItemset

    Annotations
    @Since( "1.3.0" )

  10. def generateAssociationRules(confidence: Double): RDD[Rule[Item]]

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    Generates association rules for the Items in freqItemsets.

    Generates association rules for the Items in freqItemsets.

    confidence

    minimal confidence of the rules produced

    Annotations
    @Since( "1.5.0" )

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

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  12. def hashCode(): Int

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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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  18. def toString(): String

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  19. final def wait(): Unit

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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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