Github user paberline closed the pull request at:
https://github.com/apache/spark/pull/8384
---
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
Github user paberline commented on the issue:
https://github.com/apache/spark/pull/8384
Closing as requested due to this feature being too narrow a use case for
core Spark.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well
Github user paberline commented on the issue:
https://github.com/apache/spark/pull/8384
Hi @holdenk - thanks for taking the time to look at this. I understand this
PR
might be too esoteric for Spark core. I will close it once @mengxr
@jkbradley and @davies confirm
Github user paberline-rms commented on the pull request:
https://github.com/apache/spark/pull/8384#issuecomment-135505761
JIRA: https://issues.apache.org/jira/browse/SPARK-8510
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub
Github user paberline commented on the pull request:
https://github.com/apache/spark/pull/8384#issuecomment-135506108
JIRA: https://issues.apache.org/jira/browse/SPARK-8510
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well
GitHub user paberline opened a pull request:
https://github.com/apache/spark/pull/8384
[SPARK-8510] [CORE] [PYSPARK] NumPy arrays and matrices as values in â¦
â¦sequence files
You can merge this pull request into a Git repository by running:
$ git pull https://github.com
Github user paberline commented on the pull request:
https://github.com/apache/spark/pull/6995#issuecomment-116092604
I want to work on this some more to incorporate the improvement suggestion
I have received.
---
If your project is set up for it, you can reply to this email
Github user paberline closed the pull request at:
https://github.com/apache/spark/pull/6995
---
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
Github user paberline commented on the pull request:
https://github.com/apache/spark/pull/6995#issuecomment-115385801
I've received a suggestion this PR could be improved by using np.save(z) to
serialize the data and also preserve metadata about the NumPy array. I'm going
Github user paberline commented on the pull request:
https://github.com/apache/spark/pull/6995#issuecomment-115004710
Using the DoubleArrayWritable example, I have added support for storing
NumPy double arrays and matrices as arrays of doubles and nested arrays of
doubles as value
GitHub user paberline opened a pull request:
https://github.com/apache/spark/pull/6995
Spark 8510 numpy sequence files
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/paberline/spark
spark_8510_numpy_sequence_files
Github user paberline commented on the pull request:
https://github.com/apache/spark/pull/6995#issuecomment-114997377
https://issues.apache.org/jira/browse/SPARK-8510
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well
Github user paberline commented on the pull request:
https://github.com/apache/spark/pull/6995#issuecomment-114997479
https://issues.apache.org/jira/browse/SPARK-8510
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well
GitHub user paberline opened a pull request:
https://github.com/apache/spark/pull/6798
Update from original
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/paberline/spark master
Alternatively you can review and apply
Github user paberline closed the pull request at:
https://github.com/apache/spark/pull/6798
---
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
15 matches
Mail list logo