fpm

Type Members

1. class AssociationRules extends Logging with Serializable

   

   Generates association rules from a RDD[FreqItemset[Item]].

   Generates association rules from a RDD[FreqItemset[Item]]. This method only generates association rules which have a single item as the consequent.

   Annotations

   @Since( "1.5.0" )

2. class FPGrowth extends Logging with Serializable

   

   A parallel FP-growth algorithm to mine frequent itemsets.

   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.

   Annotations

   @Since( "1.3.0" )

   See also

   Association rule learning (Wikipedia)

3. class FPGrowthModel[Item] extends Saveable with Serializable

   

   Model trained by FPGrowth, which holds frequent itemsets.

   Model trained by FPGrowth, which holds frequent itemsets.

   Item

   item type

   Annotations

   @Since( "1.3.0" )

4. class PrefixSpan extends Logging with Serializable

   

   A parallel PrefixSpan algorithm to mine frequent sequential patterns.

   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).

   Annotations

   @Since( "1.5.0" )

   See also

   Sequential Pattern Mining (Wikipedia)

5. class PrefixSpanModel[Item] extends Saveable with Serializable

   

   Model fitted by PrefixSpan

   Model fitted by PrefixSpan

   Item

   item type

   Annotations

   @Since( "1.5.0" )