fpm

Type Members

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

   

   :: 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

   

   :: Experimental :: Model fitted by FPGrowth.

   :: Experimental :: Model fitted by FPGrowth.

   Annotations

   @Since( "2.2.0" ) @Experimental()

3. final class PrefixSpan extends Params

   

   :: 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)