GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/391
SPARK-1426: Make MLlib work with NumPy versions older than 1.7
Currently it requires NumPy 1.7 due to using the copyto method
(http://docs.scipy.org/doc/numpy/reference/generated
Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/391#issuecomment-40270135
Jenkins, retest this please.
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/391#issuecomment-40270236
@mengxr yup, tests passed with 1.6
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/388#issuecomment-40271260
@pwendell can you review this ?
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/356#issuecomment-40046556
@mateiz is there any other problem ?
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/370#issuecomment-40046601
@tgravescs any changes ?
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Github user techaddict closed the pull request at:
https://github.com/apache/spark/pull/370
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/370#issuecomment-40059016
@pwendell after this commit i saw there are too many whitespaces in the
codebase, i've managed to fix them all, should i build a pull request for them ?
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GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/380
Remove Unnecessary Whitespace's
stack these together in a commit else they show up chunk by chunk in
different commits.
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Github user techaddict closed the pull request at:
https://github.com/apache/spark/pull/356
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/356#issuecomment-40120674
:smile:
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GitHub user techaddict reopened a pull request:
https://github.com/apache/spark/pull/356
SPARK-1428: MLlib should convert non-float64 NumPy arrays to float64
instead of complaining
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$ git pull https
GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/388
SPARK-1469: Scheduler mode should accept lower-case definitions and have...
... nicer error messages
There are two improvements to Scheduler Mode:
1. Made the built in ones case
GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/370
SPARK-1446: Spark examples should not do a System.exit
Spark examples should exit nice using SparkContext.stop() method, rather
than System.exit
System.exit can cause issues like in SPARK
GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/356
SPARK-1428: MLlib should convert non-float64 NumPy arrays to float64
instead of complaining
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$ git pull https://github.com
Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/356#issuecomment-39857157
@mengxr ok i'll try adding some test's
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/355#issuecomment-39857208
@pwendell yupp it is fully compatible although i'm checking every single
line :+1:
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/356#issuecomment-39927556
@mateiz updated, should i add tests too (IMHO i don't think there is need,
because its a trivial patch :smile: ) ?
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Github user techaddict commented on the pull request:
https://github.com/apache/spark/pull/356#issuecomment-39930653
You mean
`v = v.astype(float64, copy=True)`
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GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/355
SPARK-1433: Upgrade Mesos dependency to 0.17.0
Mesos 0.13.0 was released 6 months ago.
Upgrade Mesos dependency to 0.17.0
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