[jira] [Commented] (SPARK-7576) User guide update for spark.ml ElementwiseProduct
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https://issues.apache.org/jira/browse/SPARK-7576?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14560087#comment-14560087
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Octavian Geagla commented on SPARK-7576:
Yup, I sure can.
> User guide update for spark.ml ElementwiseProduct
> -
>
> Key: SPARK-7576
> URL: https://issues.apache.org/jira/browse/SPARK-7576
> Project: Spark
> Issue Type: Documentation
> Components: Documentation, ML
>Reporter: Joseph K. Bradley
>Assignee: Octavian Geagla
>
> Copied from [SPARK-7443]:
> {quote}
> Now that we have algorithms in spark.ml which are not in spark.mllib, we
> should start making subsections for the spark.ml API as needed. We can follow
> the structure of the spark.mllib user guide.
> * The spark.ml user guide can provide: (a) code examples and (b) info on
> algorithms which do not exist in spark.mllib.
> * We should not duplicate info in the spark.ml guides. Since spark.mllib is
> still the primary API, we should provide links to the corresponding
> algorithms in the spark.mllib user guide for more info.
> {quote}
> Note: I created a new subsection for links to spark.ml-specific guides in
> this JIRA's PR: [SPARK-7557]. This transformer can go within the new
> subsection. I'll try to get that PR merged ASAP.
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[jira] [Commented] (SPARK-7576) User guide update for spark.ml ElementwiseProduct
[
https://issues.apache.org/jira/browse/SPARK-7576?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14542073#comment-14542073
]
Octavian Geagla commented on SPARK-7576:
[~josephkb] Yup, I think this is an easy one, mostly small changes to
copypasted code example like you say.
> User guide update for spark.ml ElementwiseProduct
> -
>
> Key: SPARK-7576
> URL: https://issues.apache.org/jira/browse/SPARK-7576
> Project: Spark
> Issue Type: Documentation
>Reporter: Joseph K. Bradley
>
> Copied from [SPARK-7443]:
> {quote}
> Now that we have algorithms in spark.ml which are not in spark.mllib, we
> should start making subsections for the spark.ml API as needed. We can follow
> the structure of the spark.mllib user guide.
> * The spark.ml user guide can provide: (a) code examples and (b) info on
> algorithms which do not exist in spark.mllib.
> * We should not duplicate info in the spark.ml guides. Since spark.mllib is
> still the primary API, we should provide links to the corresponding
> algorithms in the spark.mllib user guide for more info.
> {quote}
> Note: I created a new subsection for links to spark.ml-specific guides in
> this JIRA's PR: [SPARK-7557]. This transformer can go within the new
> subsection. I'll try to get that PR merged ASAP.
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[jira] [Commented] (SPARK-7459) Add Java example for ElementwiseProduct in programming guide
[ https://issues.apache.org/jira/browse/SPARK-7459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14534398#comment-14534398 ] Octavian Geagla commented on SPARK-7459: https://github.com/apache/spark/pull/6008 > Add Java example for ElementwiseProduct in programming guide > > > Key: SPARK-7459 > URL: https://issues.apache.org/jira/browse/SPARK-7459 > Project: Spark > Issue Type: Documentation > Components: Documentation, Java API, ML >Reporter: Joseph K. Bradley >Assignee: Octavian Geagla >Priority: Minor > > Duplicate Scala example, but in Java. -- 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] [Comment Edited] (SPARK-7459) Add Java example for ElementwiseProduct in programming guide
[ https://issues.apache.org/jira/browse/SPARK-7459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14534276#comment-14534276 ] Octavian Geagla edited comment on SPARK-7459 at 5/8/15 10:26 AM: - Can do! Please assign to me. was (Author: ogeagla): Can do! > Add Java example for ElementwiseProduct in programming guide > > > Key: SPARK-7459 > URL: https://issues.apache.org/jira/browse/SPARK-7459 > Project: Spark > Issue Type: Documentation > Components: Documentation, Java API, ML >Reporter: Joseph K. Bradley >Priority: Minor > > Duplicate Scala example, but in Java. -- 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-7459) Add Java example for ElementwiseProduct in programming guide
[ https://issues.apache.org/jira/browse/SPARK-7459?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14534276#comment-14534276 ] Octavian Geagla commented on SPARK-7459: Can do! > Add Java example for ElementwiseProduct in programming guide > > > Key: SPARK-7459 > URL: https://issues.apache.org/jira/browse/SPARK-7459 > Project: Spark > Issue Type: Documentation > Components: Documentation, Java API, ML >Reporter: Joseph K. Bradley >Priority: Minor > > Duplicate Scala example, but in Java. -- 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] [Resolved] (SPARK-5726) Hadamard Vector Product Transformer
[ https://issues.apache.org/jira/browse/SPARK-5726?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Octavian Geagla resolved SPARK-5726. Resolution: Fixed > Hadamard Vector Product Transformer > --- > > Key: SPARK-5726 > URL: https://issues.apache.org/jira/browse/SPARK-5726 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib >Reporter: Octavian Geagla >Assignee: Octavian Geagla > > I originally posted my idea here: > http://apache-spark-developers-list.1001551.n3.nabble.com/Any-interest-in-weighting-VectorTransformer-which-does-component-wise-scaling-td10265.html > A draft of this feature is implemented, documented, and tested already. Code > is on a branch on my fork here: > https://github.com/ogeagla/spark/compare/spark-mllib-weighting > I'm curious if there is any interest in this feature, in which case I'd > appreciate some feedback. One thing that might be useful is an example/test > case using the transformer within the ML pipeline, since there are not any > examples which use Vectors. -- 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-5726) Hadamard Vector Product Transformer
[ https://issues.apache.org/jira/browse/SPARK-5726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14320514#comment-14320514 ] Octavian Geagla commented on SPARK-5726: Ok, I've made the change on the PR. Thanks, Sean! > Hadamard Vector Product Transformer > --- > > Key: SPARK-5726 > URL: https://issues.apache.org/jira/browse/SPARK-5726 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib >Reporter: Octavian Geagla >Assignee: Octavian Geagla > > I originally posted my idea here: > http://apache-spark-developers-list.1001551.n3.nabble.com/Any-interest-in-weighting-VectorTransformer-which-does-component-wise-scaling-td10265.html > A draft of this feature is implemented, documented, and tested already. Code > is on a branch on my fork here: > https://github.com/ogeagla/spark/compare/spark-mllib-weighting > I'm curious if there is any interest in this feature, in which case I'd > appreciate some feedback. One thing that might be useful is an example/test > case using the transformer within the ML pipeline, since there are not any > examples which use Vectors. -- 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-5726) Hadamard Vector Product Transformer
[ https://issues.apache.org/jira/browse/SPARK-5726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14319475#comment-14319475 ] Octavian Geagla commented on SPARK-5726: I like the name ElementwiseProduct also, it seems easier to understand. The PR above does not have the name changed, but I'd like to change it if there are no objections. > Hadamard Vector Product Transformer > --- > > Key: SPARK-5726 > URL: https://issues.apache.org/jira/browse/SPARK-5726 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib >Reporter: Octavian Geagla >Assignee: Octavian Geagla > > I originally posted my idea here: > http://apache-spark-developers-list.1001551.n3.nabble.com/Any-interest-in-weighting-VectorTransformer-which-does-component-wise-scaling-td10265.html > A draft of this feature is implemented, documented, and tested already. Code > is on a branch on my fork here: > https://github.com/ogeagla/spark/compare/spark-mllib-weighting > I'm curious if there is any interest in this feature, in which case I'd > appreciate some feedback. One thing that might be useful is an example/test > case using the transformer within the ML pipeline, since there are not any > examples which use Vectors. -- 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] [Created] (SPARK-5726) Hadamard Vector Product Transformer
Octavian Geagla created SPARK-5726: -- Summary: Hadamard Vector Product Transformer Key: SPARK-5726 URL: https://issues.apache.org/jira/browse/SPARK-5726 Project: Spark Issue Type: Improvement Components: ML, MLlib Reporter: Octavian Geagla I originally posted my idea here: http://apache-spark-developers-list.1001551.n3.nabble.com/Any-interest-in-weighting-VectorTransformer-which-does-component-wise-scaling-td10265.html A draft of this feature is implemented, documented, and tested already. Code is on a branch on my fork here: https://github.com/ogeagla/spark/compare/spark-mllib-weighting I'm curious if there is any interest in this feature, in which case I'd appreciate some feedback. One thing that might be useful is an example/test case using the transformer within the ML pipeline, since there are not any examples which use Vectors. -- 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] [Created] (SPARK-5207) StandardScalerModel mean and variance re-use
Octavian Geagla created SPARK-5207: -- Summary: StandardScalerModel mean and variance re-use Key: SPARK-5207 URL: https://issues.apache.org/jira/browse/SPARK-5207 Project: Spark Issue Type: Wish Components: MLlib Reporter: Octavian Geagla >From this discussion: >http://apache-spark-developers-list.1001551.n3.nabble.com/Re-use-scaling-means-and-variances-from-StandardScalerModel-td10073.html Changing constructor to public would be a simple change, but a discussion is needed to determine what args necessary for this change. -- 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
