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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/04/29 20:46:06 UTC
[jira] [Updated] (SPARK-7241) Pearson correlation for DataFrames
[ https://issues.apache.org/jira/browse/SPARK-7241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-7241:
---------------------------------
Description:
This JIRA is for computing the Pearson linear correlation for two numerical columns in a DataFrame. The method `corr` should live under `df.stat`:
{code}
df.stat.corr(col1, col2, method="pearson"): Double
{code}
`method` will be used when we add other correlations.
Similar to SPARK-7240, UDAF will be added later.
was:
This JIRA is for computing the Pearson linear correlation for two numerical columns in a DataFrame. The method `corr` should live under `df.stat`:
{code}
df.stat.corr(col1, col2, method="pearson"): Double
{code}
`method` will be used when we add other correlations.
> Pearson correlation for DataFrames
> ----------------------------------
>
> Key: SPARK-7241
> URL: https://issues.apache.org/jira/browse/SPARK-7241
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Xiangrui Meng
> Assignee: Burak Yavuz
>
> This JIRA is for computing the Pearson linear correlation for two numerical columns in a DataFrame. The method `corr` should live under `df.stat`:
> {code}
> df.stat.corr(col1, col2, method="pearson"): Double
> {code}
> `method` will be used when we add other correlations.
> Similar to SPARK-7240, UDAF will be added later.
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