[jira] [Commented] (SPARK-7856) Scalable PCA implementation for tall and fat matrices

[ https://issues.apache.org/jira/browse/SPARK-7856?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14804529#comment-14804529 ] Tarek Elgamal commented on SPARK-7856: -- Anybody have sort of thoughts or comments in this issue ? I

[jira] [Created] (SPARK-7856) Scalable PCA implementation for tall and fat matrices

Tarek Elgamal created SPARK-7856: Summary: Scalable PCA implementation for tall and fat matrices Key: SPARK-7856 URL: https://issues.apache.org/jira/browse/SPARK-7856 Project: Spark Issue

[jira] [Updated] (SPARK-7856) Scalable PCA implementation for tall and fat matrices

[ https://issues.apache.org/jira/browse/SPARK-7856?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Tarek Elgamal updated SPARK-7856: - Description: Currently the PCA implementation has a limitation of fitting d^2

[jira] [Commented] (SPARK-1782) svd for sparse matrix using ARPACK

[ https://issues.apache.org/jira/browse/SPARK-1782?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14102179#comment-14102179 ] Tarek Elgamal commented on SPARK-1782: -- I am interested to try this new svd