class FPGrowthModel[Item] extends Saveable with Serializable
Model trained by FPGrowth, which holds frequent itemsets.
- Item
item type
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- @Since( "1.3.0" )
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- FPGrowth.scala
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- FPGrowthModel
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new
FPGrowthModel(freqItemsets: RDD[FreqItemset[Item]])(implicit arg0: ClassTag[Item])
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- @Since( "1.3.0" )
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new
FPGrowthModel(freqItemsets: RDD[FreqItemset[Item]], itemSupport: Map[Item, Double])(implicit arg0: ClassTag[Item])
- freqItemsets
frequent itemset, which is an RDD of
FreqItemset
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- @Since( "2.4.0" )
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val
freqItemsets: RDD[FreqItemset[Item]]
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def
generateAssociationRules(confidence: Double): RDD[Rule[Item]]
Generates association rules for the
Item
s in freqItemsets.Generates association rules for the
Item
s in freqItemsets.- confidence
minimal confidence of the rules produced
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- @Since( "1.5.0" )
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val
itemSupport: Map[Item, Double]
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def
save(sc: SparkContext, path: String): Unit
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.
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- FPGrowthModel → Saveable
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- @Since( "2.0.0" )
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