spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Barry Becker (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-17086) QuantileDiscretizer throws InvalidArgumentException (parameter splits given invalid value) on valid data
Date Wed, 24 Aug 2016 12:18:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-17086?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15434805#comment-15434805
] 

Barry Becker commented on SPARK-17086:
--------------------------------------

Is it possible to get this fix into 2.0.1? Maybe it would be possible to work around it by
manually stripping the splits in client code?

> QuantileDiscretizer throws InvalidArgumentException (parameter splits given invalid value)
on valid data
> --------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-17086
>                 URL: https://issues.apache.org/jira/browse/SPARK-17086
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>    Affects Versions: 2.1.0
>            Reporter: Barry Becker
>            Assignee: Vincent
>             Fix For: 2.1.0
>
>
> I discovered this bug when working with a build from the master branch (which I believe
is 2.1.0). This used to work fine when running spark 1.6.2.
> I have a dataframe with an "intData" column that has values like 
> {code}
> 1 3 2 1 1 2 3 2 2 2 1 3
> {code}
> I have a stage in my pipeline that uses the QuantileDiscretizer to produce equal weight
splits like this
> {code}
> new QuantileDiscretizer()
>         .setInputCol("intData")
>         .setOutputCol("intData_bin")
>         .setNumBuckets(10)
>         .fit(df)
> {code}
> But when that gets run it (incorrectly) throws this error:
> {code}
> parameter splits given invalid value [-Infinity, 1.0, 1.0, 2.0, 2.0, 3.0, 3.0, Infinity]
> {code}
> I don't think that there should be duplicate splits generated should there be?



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message