[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-tabpanelfocusedCommentId=14560087#comment-14560087
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Octavian Geagla commented on SPARK-7576:
Yup, I sure can.
User guide update for spark.ml ElementwiseProduct
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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-tabpanelfocusedCommentId=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-tabpanelfocusedCommentId=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] [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-tabpanelfocusedCommentId=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-tabpanelfocusedCommentId=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] [Commented] (SPARK-5726) Hadamard Vector Product Transformer
[ https://issues.apache.org/jira/browse/SPARK-5726?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=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-tabpanelfocusedCommentId=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
