Package

org.apache.spark.ml

fpm

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package fpm

Visibility
  1. Public
  2. All

Type Members

  1. class FPGrowth extends Estimator[FPGrowthModel] with FPGrowthParams with DefaultParamsWritable

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    :: Experimental :: A parallel FP-growth algorithm to mine frequent itemsets.

    :: Experimental :: A parallel FP-growth algorithm to mine frequent itemsets. The algorithm is described in Li et al., PFP: Parallel FP-Growth for Query Recommendation. PFP distributes computation in such a way that each worker executes an independent group of mining tasks. The FP-Growth algorithm is described in Han et al., Mining frequent patterns without candidate generation. Note null values in the itemsCol column are ignored during fit().

    Annotations
    @Since( "2.2.0" ) @Experimental()
    See also

    Association rule learning (Wikipedia)

  2. class FPGrowthModel extends Model[FPGrowthModel] with FPGrowthParams with MLWritable

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    :: Experimental :: Model fitted by FPGrowth.

    :: Experimental :: Model fitted by FPGrowth.

    Annotations
    @Since( "2.2.0" ) @Experimental()
  3. final class PrefixSpan extends Params

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    :: Experimental :: A parallel PrefixSpan algorithm to mine frequent sequential patterns.

    :: Experimental :: A parallel PrefixSpan algorithm to mine frequent sequential patterns. The PrefixSpan algorithm is described in J. Pei, et al., PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth (see here). This class is not yet an Estimator/Transformer, use findFrequentSequentialPatterns method to run the PrefixSpan algorithm.

    Annotations
    @Since( "2.4.0" ) @Experimental()
    See also

    Sequential Pattern Mining (Wikipedia)

Value Members

  1. object FPGrowth extends DefaultParamsReadable[FPGrowth] with Serializable

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    Annotations
    @Since( "2.2.0" )
  2. object FPGrowthModel extends MLReadable[FPGrowthModel] with Serializable

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    Annotations
    @Since( "2.2.0" )

Members