PrefixSpanModel#
- class pyspark.mllib.fpm.PrefixSpanModel(java_model)[source]#
- Model fitted by PrefixSpan - New in version 1.6.0. - Examples - >>> data = [ ... [["a", "b"], ["c"]], ... [["a"], ["c", "b"], ["a", "b"]], ... [["a", "b"], ["e"]], ... [["f"]]] >>> rdd = sc.parallelize(data, 2) >>> model = PrefixSpan.train(rdd) >>> sorted(model.freqSequences().collect()) [FreqSequence(sequence=[['a']], freq=3), FreqSequence(sequence=[['a'], ['a']], freq=1), ... - Methods - call(name, *a)- Call method of java_model - Gets frequent sequences - Methods Documentation - call(name, *a)#
- Call method of java_model