Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-146665724
Test passes. Any feedback on this? Or can this be merged?
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-142287774
This fixes pyspark tests.
Please test this again.
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-142152718
Please test this again - there were some github connection issue
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-142093257
Ok to test
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-141793243
Jenkins please test again
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-140479983
@davies ping
Can somebody verify this? Jenkins have't started tests for this pull
requests
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-139605916
@mengxr, @davies thanks for a hints
I'm rather new with Scala, and very interested into learning it further.
I've found the code with Python wrapper used
Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-139653064
Ok
Please see this update - I've added methods for converting Tuple to Array
into MatrixFactorizationModelWrapper
Could you please review this pull
GitHub user smartkiwi opened a pull request:
https://github.com/apache/spark/pull/8700
[SPARK-10535] Sync up API for matrix factorization model between Scala and
PySpark
Support for recommendUsersForProducts and recommendProductsForUsers in
matrix factorization model for PySpark
Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/8700#issuecomment-139398333
I've added these methods doc string
Acually it is not that useful as it is now - as it returns "scala.Tuple2"
strings - and not as in scala (Int, Ar
Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/6936#issuecomment-116164420
Python doctests are rather limited in expressiveness, but efficient in
keeping examples bug free in documentation.
Anywhere - here is another patch that works
Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/6936#issuecomment-116163405
Thanks for hints
Retesting locally with python3 and python2. I will push update in ~30
minutes
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/6936#issuecomment-115709427
Hm, looks like last test haven't honored ELLIPSIS. Anyway this is doctest
is not particularly useful. The contents of the applicationId is set outside of
the test
Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/6936#issuecomment-115713640
Please test updated version - I made the doctest stable
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/6936#issuecomment-114516593
Done updating docstrings. Thank you for suggestions.
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/6936#issuecomment-114621840
Interesting build results - not tests failed, but whole build timeouted
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Github user smartkiwi commented on the pull request:
https://github.com/apache/spark/pull/6936#issuecomment-114695860
Jenkins, please test it again
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GitHub user smartkiwi opened a pull request:
https://github.com/apache/spark/pull/6936
[SPARK-8528] add applicationId property for SparkContext object in
pyspark.
Use case - we want to log applicationId (YARN in hour case) to request help
with troubleshooting from
GitHub user smartkiwi opened a pull request:
https://github.com/apache/spark/pull/4403
SPARK-5633 pyspark saveAsTextFile support for compression codec
See https://issues.apache.org/jira/browse/SPARK-5633 for details
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