[jira] [Commented] (SPARK-14272) Evaluate GaussianMixtureModel with LogLikelihood
[ https://issues.apache.org/jira/browse/SPARK-14272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15813980#comment-15813980 ] Yanbo Liang commented on SPARK-14272: - [~podongfeng] SPARK-17847 has been merged, please move this on when you have time. Thanks. > Evaluate GaussianMixtureModel with LogLikelihood > > > Key: SPARK-14272 > URL: https://issues.apache.org/jira/browse/SPARK-14272 > Project: Spark > Issue Type: Improvement > Components: ML >Reporter: zhengruifeng >Priority: Minor > > GMM use EM to maximum the likelihood of data. So likelihood can be a useful > metric to evaluate GaussianMixtureModel. -- 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
[jira] [Commented] (SPARK-14272) Evaluate GaussianMixtureModel with LogLikelihood
[ https://issues.apache.org/jira/browse/SPARK-14272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15565069#comment-15565069 ] zhengruifeng commented on SPARK-14272: -- Yes, I will a update after SPARK-17847 get merged > Evaluate GaussianMixtureModel with LogLikelihood > > > Key: SPARK-14272 > URL: https://issues.apache.org/jira/browse/SPARK-14272 > Project: Spark > Issue Type: Improvement > Components: MLlib >Reporter: zhengruifeng >Priority: Minor > > GMM use EM to maximum the likelihood of data. So likelihood can be a useful > metric to evaluate GaussianMixtureModel. -- 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
[jira] [Commented] (SPARK-14272) Evaluate GaussianMixtureModel with LogLikelihood
[ https://issues.apache.org/jira/browse/SPARK-14272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15564986#comment-15564986 ] Lei Wang commented on SPARK-14272: -- Is this still in progress? > Evaluate GaussianMixtureModel with LogLikelihood > > > Key: SPARK-14272 > URL: https://issues.apache.org/jira/browse/SPARK-14272 > Project: Spark > Issue Type: Improvement > Components: MLlib >Reporter: zhengruifeng >Priority: Minor > > GMM use EM to maximum the likelihood of data. So likelihood can be a useful > metric to evaluate GaussianMixtureModel. -- 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
