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https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15669182#comment-15669182
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Lei Wang commented on SPARK-17836:
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Yes. Of course.
Do you also have the same demand?
> Use cross
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
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https://issues.apache.org/jira/browse/SPARK-14272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15564986#comment-15564986
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Lei Wang commented on SPARK-14272:
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Is this still in progress?
> Evaluate GaussianMixtureModel with
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https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lei Wang updated SPARK-17836:
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Description:
Sometimes it's not easy for users to determine number of clusters.
It would be very useful
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https://issues.apache.org/jira/browse/SPARK-17836?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lei Wang updated SPARK-17836:
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Issue Type: New Feature (was: Bug)
> Use cross validation to determine the number of clusters for EM or
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
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https://issues.apache.org/jira/browse/SPARK-17825?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15557181#comment-15557181
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Lei Wang commented on SPARK-17825:
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That's good. May I take part in this job?
By the way, are you
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https://issues.apache.org/jira/browse/SPARK-17825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lei Wang updated SPARK-17825:
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Description:
Users sometimes need to get log likelihood of EM algorithm.
For example, one might use this
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https://issues.apache.org/jira/browse/SPARK-17826?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Lei Wang closed SPARK-17826.
Resolution: Duplicate
> Expose log likelihood of EM algorithm in mllib
>
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
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
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