package fpm
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class
FPGrowth extends Estimator[FPGrowthModel] with FPGrowthParams with DefaultParamsWritable
A parallel FPgrowth algorithm to mine frequent itemsets.
A parallel FPgrowth algorithm to mine frequent itemsets. The algorithm is described in Li et al., PFP: Parallel FPGrowth for Query Recommendation. PFP distributes computation in such a way that each worker executes an independent group of mining tasks. The FPGrowth 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" )
 See also

class
FPGrowthModel extends Model[FPGrowthModel] with FPGrowthParams with MLWritable
Model fitted by FPGrowth.
Model fitted by FPGrowth.
 Annotations
 @Since( "2.2.0" )

final
class
PrefixSpan extends Params
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 PrefixProjected 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" )
 See also
Value Members

object
FPGrowth extends DefaultParamsReadable[FPGrowth] with Serializable
 Annotations
 @Since( "2.2.0" )

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