spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-19947) RFormulaModel always throws Exception on transforming data with NULL or Unseen labels
Date Wed, 11 Apr 2018 01:31:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19947?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley resolved SPARK-19947.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.4.0

I'll mark this as complete.  Those earlier PRs fixed some issues, and [SPARK-23562] should
fix the rest.

> RFormulaModel always throws Exception on transforming data with NULL or Unseen labels
> -------------------------------------------------------------------------------------
>
>                 Key: SPARK-19947
>                 URL: https://issues.apache.org/jira/browse/SPARK-19947
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.1.0
>            Reporter: Andrey Yatsuk
>            Priority: Major
>             Fix For: 2.4.0
>
>
> I have trained ML model and big data table in parquet. I want add new column to this
table with predicted values. I can't lose any data, but can having null values in it.
> RFormulaModel.fit() method creates new StringIndexer with default (handleInvalid="error")
parameter. Also VectorAssembler on NULL values throwing Exception. So I must call df.na.drop()
to transform this DataFrame and I don't want to do this.
> Need add to RFormula new parameter like handleInvalid in StringIndexer.
> Or add transform(Seq<Column>): Vector method which user can use as UDF method in
df.withColumn("predicted", functions.callUDF(rFormulaModel::transform, Seq<Column>))



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

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


Mime
View raw message