[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-17 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/15105
  
Merged to master/2.0


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-16 Thread SparkQA
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https://github.com/apache/spark/pull/15105
  
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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-16 Thread SparkQA
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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-16 Thread SparkQA
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https://github.com/apache/spark/pull/15105
  
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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-16 Thread willb
Github user willb commented on the issue:

https://github.com/apache/spark/pull/15105
  
Thanks for the feedback @srowen!  I think 18e6bfe addresses everything from 
a code perspective, but it missed removing the comment about assuming that 
distinct words have distinct vector representations, so I've just pushed 
another commit that just removes that comment.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-15 Thread SparkQA
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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-15 Thread willb
Github user willb commented on the issue:

https://github.com/apache/spark/pull/15105
  
@srowen Yes.  But if we're querying for words similar to a given vector, 
then there's no word to filter out (and, indeed, no way to know which word we 
might want to filter out if multiple words might map to the same vector 
representation).


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-15 Thread willb
Github user willb commented on the issue:

https://github.com/apache/spark/pull/15105
  
Can we assume in general that distinct words will not have identical (viz., 
by `.equals`) vector representations?  I ask because the behavior in the 
current documentation (in that pyspark test I linked above) assumes that you 
don't want a word to turn up as a synonym for its own vector representation.  
But this is impossible to enforce if we aren't guaranteed that distinct words 
won't have identical vector representations.

This seems like a mostly reasonable assumption but it is definitely a 
corner case that we might want to be robust to (or at least take note of).  If 
we can't accept this assumption, then we should figure out whether or not 
changing the expected behavior in the documentation is acceptable.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-15 Thread srowen
Github user srowen commented on the issue:

https://github.com/apache/spark/pull/15105
  
I don't think you can assume that, though it will almost always be true. 
But I don't think the goal is to filter vectors of other words that happen to 
be identical. The point was just to filter the word itself from the list of 
synonyms because it's always perfectly similar to itself and that's implicitly 
not what the caller wants.

So, no you don't necessarily want to filter out all "1.0" similarity.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread willb
Github user willb commented on the issue:

https://github.com/apache/spark/pull/15105
  
Thanks, @hhbyyh.  This is what I get for running `sbt "testOnly ..."`  I'll 
push a fix.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/15105
  
Test FAILed.
Refer to this link for build results (access rights to CI server needed): 
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/65411/
Test FAILed.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/15105
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread hhbyyh
Github user hhbyyh commented on the issue:

https://github.com/apache/spark/pull/15105
  
Hi @willb Good catch. This is a valid issue.




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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15105
  
**[Test build #65411 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65411/consoleFull)**
 for PR 15105 at commit 
[`832ed41`](https://github.com/apache/spark/commit/832ed41f717e278d9dfbd3c4cfabc30fb4b7beaf).
 * This patch **fails PySpark unit tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15105
  
**[Test build #65411 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65411/consoleFull)**
 for PR 15105 at commit 
[`832ed41`](https://github.com/apache/spark/commit/832ed41f717e278d9dfbd3c4cfabc30fb4b7beaf).


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/15105
  
Test FAILed.
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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/15105
  
Merged build finished. Test FAILed.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15105
  
**[Test build #65409 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65409/consoleFull)**
 for PR 15105 at commit 
[`757ce7c`](https://github.com/apache/spark/commit/757ce7c73e76f751395d55de3b5b31fa4a05cde8).
 * This patch **fails Spark unit tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #15105: [SPARK-17548] [MLlib] Word2VecModel.findSynonyms no long...

2016-09-14 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15105
  
**[Test build #65409 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/65409/consoleFull)**
 for PR 15105 at commit 
[`757ce7c`](https://github.com/apache/spark/commit/757ce7c73e76f751395d55de3b5b31fa4a05cde8).


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