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Posted to issues@spark.apache.org by "Arseniy Tashoyan (JIRA)" <ji...@apache.org> on 2018/01/30 09:52:00 UTC

[jira] [Created] (SPARK-23269) FP-growth: Provide last transaction for each detected frequent pattern

Arseniy Tashoyan created SPARK-23269:
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             Summary: FP-growth: Provide last transaction for each detected frequent pattern
                 Key: SPARK-23269
                 URL: https://issues.apache.org/jira/browse/SPARK-23269
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 2.2.1
            Reporter: Arseniy Tashoyan


FP-growth implementation gives patterns and their frequences:

_model.freqItemsets_:
||items||freq||
|[5]|3|
|[5, 1]|3|

It would be great to know when each pattern occurred last time - what it the last transaction having this pattern.

To do so, it will be necessary to tell FPGrowth what is the timestamp column in the transactions data frame:
{code:java}
val fpgrowth = new FPGrowth()
  .setItemsCol("items")
  .setTimestampCol("timestamp")
{code}
So the data frame with patterns could look like:
||items||freq||lastOccurrence||
|[5]|3|2018-01-01 12:15:00|
|[5, 1]|3|2018-01-01 12:15:00|

Without this functionality, it is necessary to traverse the transactions data frame with the set of detected patterns and determine the last transaction for each pattern. Why traverse transactions once again if it has been already done in FP-growth execution?

 



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