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Sure, I've simplified it.
Good point on the ordering - digging into it looks like it's just file
system search order, which really is not reliable.
We could certainly add a test
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[SPARKR][DOCS] update R API doc for subset/extract
## What changes were proposed in this pull request?
With extract `[[` or replace `[[<-`, the parameter `i` is a column index,
that
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[SPARK-19390][SQL] Replace the unnecessary usages of hiveQlTable
### What changes were proposed in this pull request?
`catalogTable` is the native table metadata structure for Spark SQL. Thus
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MesosClusterDispatcher also has multiple threads like Executor, when any
one thread terminates in the MesosClusterDispatcher process due to some
error/exception it keeps running without perfo
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[SPARK-19377] [WEBUI] [CORE] Killed tasks should have the status as KILLED
## What changes were proposed in this pull request?
Copying of the killed status was missing while getting
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Github user gatorsmile commented on the issue:
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Thanks! Merging it to master.
You can fix the minor comments in your other PRs.
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I am not sure tests are ever meant to run on a cluster (see the number of
uses of LocalSparkContext in core/src/test/scala) -- The main reason I dont
want to introduce the 'first test' approach is
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Github user asfgit closed the pull request at:
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cc @cloud-fan @rxin @hvanhovell
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[SPARK-19352][WIP][SQL] Keep sort order of rows after external sorter when
writing
## What changes were proposed in this pull request?
WIP
## How was this patch tested?
Wi
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Github user actuaryzhang commented on the issue:
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@zhengruifeng Thanks for the suggestions. Added casting and
instrumentation.
@imatiach-msft Thanks for the clarification! It is probably worth another
PR to clean up all tests in GLM.
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@wangmiao1981 Would you mind checking this? It has small fixes I noticed
when reviewing your PR for Python LinearSVC.
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[SPARK-19389][ML][PYTHON][DOC] Minor doc fixes for ML Python Params and
LinearSVC
## What changes were proposed in this pull request?
* Removed Since tags in Python Params since they are
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: ) Done. Found a solution to infer the schema of Hive Serde tables. Let me
clean the code now.
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LGTM, thank you!
Merging with master
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Github user SparkQA commented on the issue:
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Github user SparkQA commented on the issue:
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/16722
ping @jkbradley @imatiach-msft
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GitHub user sethah opened a pull request:
https://github.com/apache/spark/pull/16722
[SPARK-9478][ML][MLlib] Add sample weights to decision trees
## What changes were proposed in this pull request?
This patch adds support for sample weights to `DecisionTreeRegressor` and
`D
Github user julienledem commented on the issue:
https://github.com/apache/spark/pull/16281
FYI: Parquet 1.8.2 vote thread passed:
https://mail-archives.apache.org/mod_mbox/parquet-dev/201701.mbox/%3CCAO4re1mHLT%2BLYn8s1RTEDZK8-9WSVugY8-HQqAN%2BtU%3DBOi1L9w%40mail.gmail.com%3E
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Github user jkbradley commented on the issue:
https://github.com/apache/spark/pull/15768
Btw, @yanboliang and @Yunni did you sync? I'm fine with the takeover, but
don't want to stomp on toes. Both can be listed as authors when this gets
merged. Should we close this issue with the
Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/16694#discussion_r98309772
--- Diff: python/pyspark/ml/classification.py ---
@@ -60,6 +61,137 @@ def numClasses(self):
@inherit_doc
+class LinearSVC(JavaEstimator
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