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@@ -595,6 +598,22 @@ object BooleanSimplification
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https://github.com/apache/spark/pull/10594
[SPARK-12570] [ML] [Doc] DecisionTreeRegressor: provide variance of
prediction: user guide update
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--- Diff:
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@@ -240,6 +241,23 @@ private[hive] class HiveMetastoreCatalog(val
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Can you combine your pull requests into a single one?
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GitHub user jaceklaskowski opened a pull request:
https://github.com/apache/spark/pull/10595
[STREAMING][MINOR] More contextual information in logs + minor code iâ¦
â¦mprovements
Please review and merge at your convenience. Thanks!
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Fixed
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retest this please
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@liancheng @yhuai Could you review this?
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--- Diff:
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@@ -189,13 +220,43 @@ final class DataFrameWriter private[sql](df:
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@@ -595,6 +598,22 @@ object BooleanSimplification
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ping @shivaram @sun-rui @felixcheung
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GitHub user nongli opened a pull request:
https://github.com/apache/spark/pull/10593
[SPARK-12644][SQL] Update parquet reader to be vectorized.
This inlines a few of the Parquet decoders and adds vectorized APIs to
support decoding in batch.
There are a few particulars in the
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Can one of the admins verify this patch?
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GitHub user maropu opened a pull request:
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[SPARK-12401][SQL] Add integration tests for postgres enum types
We can handle posgresql-specific enum types as strings in jdbc.
So, we should just add tests and close the corresponding JIRA
Github user BenFradet commented on a diff in the pull request:
https://github.com/apache/spark/pull/10594#discussion_r48824613
--- Diff: docs/ml-classification-regression.md ---
@@ -535,7 +535,9 @@ The main differences between this API and the [original
MLlib Decision Tree API]
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Todo:
- Will add the new `Dataframe` and `Dataset` APIs for `unionAll`, if my
understanding is correct.
- Will add another rule for pushing `Filter` and
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LGTM
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--- Diff:
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@@ -151,29 +152,34 @@ private[hive] class ClientWrapper(
Github user srowen commented on the pull request:
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Given the discussion here, I'm pretty confident in this change and would
like to go ahead and merge it. It will also unblock further fixes in 12269.
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I have a fix for the test failure. Should I create a new Jira and PR?
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--- Diff:
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@@ -59,17 +59,15 @@ case class JobSet(
// Time
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Github user srowen commented on the pull request:
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@QiangCai I think the test failures are unrelated. However before we can
retest you'll have to rebase as there is a merge conflict now.
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--- Diff: docs/ml-classification-regression.md ---
@@ -535,7 +535,9 @@ The main differences between this API and the [original
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Github user rahulpalamuttam commented on the pull request:
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@jkbradley @mengxr
I have opened the new PR in Breeze here :
https://github.com/scalanlp/breeze/pull/480
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GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/10597
[SPARK-12645] [SparkR] SparkR support hash function
Add ```hash``` function for SparkR ```DataFrame```.
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@@ -286,7 +286,7 @@ abstract class DStream[T: ClassTag] (
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// Time taken to
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@@ -59,17 +59,15 @@ case class JobSet(
// Time taken to
Github user srowen commented on the pull request:
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I like this, but how about adding similar docs to other similar methods
like treeAggregate, fold, etc? the semantics of fold were brought up just last
week, for
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Github user rxin commented on the pull request:
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I've merged this. Thanks.
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@avulanov Thanks for review.
The only possible concern I got is LBFGSOptimizer/SGDOptimizer appears to
be getter, yet they are setters.
I sent an update
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LGTM
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/10596#issuecomment-168967352
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/10590
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/10593#issuecomment-168934389
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