[jira] [Commented] (SPARK-17836) Use cross validation to determine the number of clusters for EM or KMeans algorithms

2016-11-15 Thread Lei Wang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15669182#comment-15669182 ] Lei Wang commented on SPARK-17836: -- Yes. Of course. Do you also have the same demand? > Use cross

[jira] [Created] (SPARK-17934) Support percentile scale in ml.feature

2016-10-14 Thread Lei Wang (JIRA)
Lei Wang created SPARK-17934: Summary: Support percentile scale in ml.feature Key: SPARK-17934 URL: https://issues.apache.org/jira/browse/SPARK-17934 Project: Spark Issue Type: New Feature

[jira] [Commented] (SPARK-14272) Evaluate GaussianMixtureModel with LogLikelihood

2016-10-11 Thread Lei Wang (JIRA)
[ 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

[jira] [Updated] (SPARK-17836) Use cross validation to determine the number of clusters for EM or KMeans algorithms

2016-10-08 Thread Lei Wang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Lei Wang updated SPARK-17836: - Description: Sometimes it's not easy for users to determine number of clusters. It would be very useful

[jira] [Updated] (SPARK-17836) Use cross validation to determine the number of clusters for EM or KMeans algorithms

2016-10-08 Thread Lei Wang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Lei Wang updated SPARK-17836: - Issue Type: New Feature (was: Bug) > Use cross validation to determine the number of clusters for EM or

[jira] [Created] (SPARK-17836) Use cross validation to determine the number of clusters for EM or KMeans algorithms

2016-10-08 Thread Lei Wang (JIRA)
Lei Wang created SPARK-17836: Summary: Use cross validation to determine the number of clusters for EM or KMeans algorithms Key: SPARK-17836 URL: https://issues.apache.org/jira/browse/SPARK-17836

[jira] [Commented] (SPARK-17825) Expose log likelihood of EM algorithm in mllib

2016-10-07 Thread Lei Wang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17825?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15557181#comment-15557181 ] Lei Wang commented on SPARK-17825: -- That's good. May I take part in this job? By the way, are you

[jira] [Updated] (SPARK-17825) Expose log likelihood of EM algorithm in mllib

2016-10-07 Thread Lei Wang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Lei Wang updated SPARK-17825: - Description: Users sometimes need to get log likelihood of EM algorithm. For example, one might use this

[jira] [Closed] (SPARK-17826) Expose log likelihood of EM algorithm in mllib

2016-10-07 Thread Lei Wang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17826?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Lei Wang closed SPARK-17826. Resolution: Duplicate > Expose log likelihood of EM algorithm in mllib >

[jira] [Created] (SPARK-17826) Expose log likelihood of EM algorithm in mllib

2016-10-07 Thread Lei Wang (JIRA)
Lei Wang created SPARK-17826: Summary: Expose log likelihood of EM algorithm in mllib Key: SPARK-17826 URL: https://issues.apache.org/jira/browse/SPARK-17826 Project: Spark Issue Type: New

[jira] [Created] (SPARK-17825) Expose log likelihood of EM algorithm in mllib

2016-10-07 Thread Lei Wang (JIRA)
Lei Wang created SPARK-17825: Summary: Expose log likelihood of EM algorithm in mllib Key: SPARK-17825 URL: https://issues.apache.org/jira/browse/SPARK-17825 Project: Spark Issue Type: New