[ https://issues.apache.org/jira/browse/SPARK-12732?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
DB Tsai resolved SPARK-12732. ----------------------------- Resolution: Fixed Fix Version/s: 2.0.0 Issue resolved by pull request 10702 [https://github.com/apache/spark/pull/10702] > Fix LinearRegression.train for the case when label is constant and > fitIntercept=false > ------------------------------------------------------------------------------------- > > Key: SPARK-12732 > URL: https://issues.apache.org/jira/browse/SPARK-12732 > Project: Spark > Issue Type: Bug > Components: MLlib > Reporter: Imran Younus > Assignee: Imran Younus > Priority: Minor > Fix For: 2.0.0 > > > If the target variable is constant, then the linear regression must check if > the fitIntercept is true or false, and handle these two cases separately. > If the fitIntercept is true, then there is no training needed and we set the > intercept equal to the mean of y. > But if the fit intercept is false, then the model should still train. > Currently, LinearRegression handles both cases in the same way. It doesn't > train the model and sets the intercept equal to the mean of y. Which, means > that it returns a non-zero intercept even when the user forces the regression > through the origin. -- 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