You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by WeichenXu123 <gi...@git.apache.org> on 2016/07/20 15:24:08 UTC

[GitHub] spark pull request #14286: [SPARK-16653][ML][Optimizer] update ANN convergen...

GitHub user WeichenXu123 opened a pull request:

    https://github.com/apache/spark/pull/14286

    [SPARK-16653][ML][Optimizer] update ANN convergence tolerance param default to 1e-6

    ## What changes were proposed in this pull request?
    
    replace ANN convergence tolerance param default 
    from 1e-4 to 1e-6
    
    so that it will be the same with other algorithms in MLLib which use LBFGS as optimizer.
    
    ## How was this patch tested?
    
    Existing Test.
    


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/WeichenXu123/spark update_ann_tol

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/14286.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #14286
    
----
commit cd86df5bbb7306089c3e8e33c6e483a54b402ae9
Author: WeichenXu <we...@outlook.com>
Date:   2016-07-14T15:18:22Z

    update ann tol param default to 1e-6

----


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


[GitHub] spark issue #14286: [SPARK-16653][ML][Optimizer] update ANN convergence tole...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/14286
  
    Merged build finished. Test PASSed.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


[GitHub] spark issue #14286: [SPARK-16653][ML][Optimizer] update ANN convergence tole...

Posted by srowen <gi...@git.apache.org>.
Github user srowen commented on the issue:

    https://github.com/apache/spark/pull/14286
  
    Merged to master


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


[GitHub] spark issue #14286: [SPARK-16653][ML][Optimizer] update ANN convergence tole...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/14286
  
    **[Test build #62610 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/62610/consoleFull)** for PR 14286 at commit [`cd86df5`](https://github.com/apache/spark/commit/cd86df5bbb7306089c3e8e33c6e483a54b402ae9).


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


[GitHub] spark issue #14286: [SPARK-16653][ML][Optimizer] update ANN convergence tole...

Posted by AmplabJenkins <gi...@git.apache.org>.
Github user AmplabJenkins commented on the issue:

    https://github.com/apache/spark/pull/14286
  
    Test PASSed.
    Refer to this link for build results (access rights to CI server needed): 
    https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/62610/
    Test PASSed.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


[GitHub] spark issue #14286: [SPARK-16653][ML][Optimizer] update ANN convergence tole...

Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the issue:

    https://github.com/apache/spark/pull/14286
  
    **[Test build #62610 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/62610/consoleFull)** for PR 14286 at commit [`cd86df5`](https://github.com/apache/spark/commit/cd86df5bbb7306089c3e8e33c6e483a54b402ae9).
     * This patch passes all tests.
     * This patch merges cleanly.
     * This patch adds no public classes.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


[GitHub] spark issue #14286: [SPARK-16653][ML][Optimizer] update ANN convergence tole...

Posted by srowen <gi...@git.apache.org>.
Github user srowen commented on the issue:

    https://github.com/apache/spark/pull/14286
  
    Although it's not necessarily true that two different algos using L-BFGS need about the same convergence tolerance, I do agree in this case that they probably should match up. It's a small change to the defaults, so LGTM


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


[GitHub] spark pull request #14286: [SPARK-16653][ML][Optimizer] update ANN convergen...

Posted by asfgit <gi...@git.apache.org>.
Github user asfgit closed the pull request at:

    https://github.com/apache/spark/pull/14286


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org