Class/Object

org.apache.spark.mllib.fpm

FPGrowthModel

Related Docs: object FPGrowthModel | package fpm

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class FPGrowthModel[Item] extends Saveable with Serializable

Model trained by FPGrowth, which holds frequent itemsets.

Item

item type

Annotations
@Since( "1.3.0" )
Source
FPGrowth.scala
Linear Supertypes
Serializable, Serializable, Saveable, AnyRef, Any
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  1. FPGrowthModel
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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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    AnyRef → Any
  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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    protected[java.lang]
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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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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  9. val formatVersion: String

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    Current version of model save/load format.

    Current version of model save/load format.

    Attributes
    protected
    Definition Classes
    FPGrowthModelSaveable
  10. 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" )
  11. 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" )
  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def save(sc: SparkContext, path: String): Unit

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    Save this model to the given path.

    Save this model to the given path. It only works for Item datatypes supported by DataFrames.

    This saves:

    • human-readable (JSON) model metadata to path/metadata/
    • Parquet formatted data to path/data/

    The model may be loaded using FPGrowthModel.load.

    sc

    Spark context used to save model data.

    path

    Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.

    Definition Classes
    FPGrowthModelSaveable
    Annotations
    @Since( "2.0.0" )
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from Saveable

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