[ https://issues.apache.org/jira/browse/SPARK-7151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin closed SPARK-7151. ------------------------------ Resolution: Duplicate Fix Version/s: 1.4.0 Assignee: Burak Yavuz Target Version/s: 1.4.0 > Correlation methods for DataFrame > --------------------------------- > > Key: SPARK-7151 > URL: https://issues.apache.org/jira/browse/SPARK-7151 > Project: Spark > Issue Type: Sub-task > Components: ML, SQL > Reporter: Joseph K. Bradley > Assignee: Burak Yavuz > Priority: Minor > Labels: dataframe > Fix For: 1.4.0 > > > We should support computing correlations between columns in DataFrames with a > simple API. > This could be a DataFrame feature: > {code} > myDataFrame.corr("col1", "col2") > // or > myDataFrame.corr("col1", "col2", "pearson") // specify correlation type > {code} > Or it could be an MLlib feature: > {code} > Statistics.corr(myDataFrame("col1"), myDataFrame("col2")) > // or > Statistics.corr(myDataFrame, "col1", "col2") > {code} > (The first Statistics.corr option is more flexible, but it could cause > trouble if a user tries to pass in 2 unzippable DataFrame columns.) > Note: R follow the latter setup. I'm OK with either. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org