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https://issues.apache.org/jira/browse/SPARK-11046?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15046004#comment-15046004
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Nakul Jindal commented on SPARK-11046:
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[~shivaram], [~sunrui] - Is it ok to depend on / import the
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https://issues.apache.org/jira/browse/SPARK-11046?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15046269#comment-15046269
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Nakul Jindal commented on SPARK-11046:
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I am trying to understand the benefit of doing it using JSON
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https://issues.apache.org/jira/browse/SPARK-11046?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15042513#comment-15042513
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Nakul Jindal commented on SPARK-11046:
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Hi, I am trying to look into this.
When you say that SparkR
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https://issues.apache.org/jira/browse/SPARK-11439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15007487#comment-15007487
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Nakul Jindal commented on SPARK-11439:
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Thanks [~lewuathe].
I've also updated the comment in the
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https://issues.apache.org/jira/browse/SPARK-11392?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15003184#comment-15003184
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Nakul Jindal commented on SPARK-11392:
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Sorry, it's been a while since I last worked on this.
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https://issues.apache.org/jira/browse/SPARK-11439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14994861#comment-14994861
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Nakul Jindal commented on SPARK-11439:
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This is the piece of R code that is used as reference for
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https://issues.apache.org/jira/browse/SPARK-11439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14992828#comment-14992828
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Nakul Jindal commented on SPARK-11439:
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I seem to be running into a problem.
1.
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Nakul Jindal commented on SPARK-11439:
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[info] - linear regression model training summary *** FAILED
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https://issues.apache.org/jira/browse/SPARK-11439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14990273#comment-14990273
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Nakul Jindal commented on SPARK-11439:
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Yes, this sounds good. Also, for the sake of uniformity, it
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https://issues.apache.org/jira/browse/SPARK-11439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14985890#comment-14985890
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Nakul Jindal commented on SPARK-11439:
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I will work on this.
> Optiomization of creating sparse
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https://issues.apache.org/jira/browse/SPARK-11439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14986684#comment-14986684
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Nakul Jindal commented on SPARK-11439:
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[~holdenk] [~lewuathe] - A couple of places where there
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https://issues.apache.org/jira/browse/SPARK-11392?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14983487#comment-14983487
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Nakul Jindal commented on SPARK-11392:
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[~yhuai], [~cloud_fan] - SPARK-11393 works around the
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https://issues.apache.org/jira/browse/SPARK-11392?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14982949#comment-14982949
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Nakul Jindal commented on SPARK-11392:
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I will work on this
> GroupedIterator's hasNext is not
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https://issues.apache.org/jira/browse/SPARK-11385?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14978991#comment-14978991
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Nakul Jindal commented on SPARK-11385:
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I'll be working on this.
> Add foreach API to MLLib's
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https://issues.apache.org/jira/browse/SPARK-11386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14978980#comment-14978980
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Nakul Jindal commented on SPARK-11386:
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I'll be working on this.
> Refactor appropriate uses of
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https://issues.apache.org/jira/browse/SPARK-11332?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14975436#comment-14975436
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Nakul Jindal commented on SPARK-11332:
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I'll be working on this.
> WeightedLeastSquares should use
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https://issues.apache.org/jira/browse/SPARK-10436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14941225#comment-14941225
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Nakul Jindal edited comment on SPARK-10436 at 10/2/15 3:01 PM:
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I am new to
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https://issues.apache.org/jira/browse/SPARK-10436?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14941225#comment-14941225
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Nakul Jindal commented on SPARK-10436:
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I am new to Spark and will take a look at it too.
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