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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/02/29 15:52:18 UTC

[jira] [Resolved] (SPARK-13506) Fix the wrong parameter in R code comment in AssociationRulesSuite

     [ https://issues.apache.org/jira/browse/SPARK-13506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-13506.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 11387
[https://github.com/apache/spark/pull/11387]

> Fix the wrong parameter in R code comment in AssociationRulesSuite 
> -------------------------------------------------------------------
>
>                 Key: SPARK-13506
>                 URL: https://issues.apache.org/jira/browse/SPARK-13506
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>            Reporter: zhengruifeng
>            Priority: Trivial
>             Fix For: 2.0.0
>
>
> The following R Snippet in AssociationRulesSuite is wrong:
>     /* Verify results using the `R` code:
>        transactions = as(sapply(
>          list("r z h k p",
>               "z y x w v u t s",
>               "s x o n r",
>               "x z y m t s q e",
>               "z",
>               "x z y r q t p"),
>          FUN=function(x) strsplit(x," ",fixed=TRUE)),
>          "transactions")
>        ars = apriori(transactions,
>                      parameter = list(support = 0.0, confidence = 0.5, target="rules", minlen=2))
>        arsDF = as(ars, "data.frame")
>        arsDF$support = arsDF$support * length(transactions)
>        names(arsDF)[names(arsDF) == "support"] = "freq"
>        > nrow(arsDF)
>        [1] 23
>        > sum(arsDF$confidence == 1)
>        [1] 23
>      */
> The real outputs are:
> > nrow(arsDF)
> [1] 441838
> > sum(arsDF$confidence == 1)
> [1] 441592
> It is found that the parameters in apriori function were wrong.



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