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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/05/08 23:01:00 UTC

[jira] [Assigned] (SPARK-7492) Convert LocalDataFrame to LocalMatrix

     [ https://issues.apache.org/jira/browse/SPARK-7492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-7492:
-----------------------------------

    Assignee: Apache Spark

> Convert LocalDataFrame to LocalMatrix
> -------------------------------------
>
>                 Key: SPARK-7492
>                 URL: https://issues.apache.org/jira/browse/SPARK-7492
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib, SQL
>            Reporter: Burak Yavuz
>            Assignee: Apache Spark
>
> Having a method like, 
> {code:java}
> Matrices.fromDataFrame(df)
> {code}
> would provide users the ability to perform feature selection with DataFrames.
> Users will be able to chain operations like below:
> {code:java}
> import org.apache.spark.mllib.linalg.Matrices
> import org.apache.spark.mllib.stat.Statistics
> import org.apache.spark.sql.DataFrame
> val df = ... // the DataFrame
> val contingencyTable = df.stat.crosstab(col1, col2)
> val ct = Matrices.fromDataFrame(contingencyTable)
> val result: ChiSqTestResult = Statistics.chiSqTest(ct)
> {code}



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