Github user MrBago commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/feature.py ---
@@ -1577,6 +1577,8 @@ class OneHotEncoder(JavaTransformer, HasInputCol,
HasOutputCol, JavaMLReadable,
Github user icexelloss commented on the issue:
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@BryanCutler Yes there is no error currently. This should make the code
cleaner though.
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Github user jerryshao commented on the issue:
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@squito thanks for the fix. I also don't have PRs to verify the changes,
but I think catching exception should be enough.
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[SPARK-23008][ML][FOLLOW-UP] mark OneHotEncoder python API deprecated
## What changes were proposed in this pull request?
mark OneHotEncoder python API deprecated
## How was
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2184,6 +2184,11 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
|
Github user HyukjinKwon commented on the issue:
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I think we should fix:
https://github.com/apache/spark/blob/7c7bc8fc0ff85fe70968b47433bb7757326a6b12/dev/run-tests-jenkins.py#L183-L185
too.
cc @JoshRosen, since you
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2184,6 +2184,11 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2184,6 +2184,11 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
|
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--- Diff: R/pkg/tests/fulltests/test_mllib_classification.R ---
@@ -382,10 +382,10 @@ test_that("spark.mlp", {
trainidxs <- base::sample(nrow(data),
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> Would you (@kiszk and @maropu ) agree that at least having both (1) and
(2) is a good idea?
Without (3), is this still useful if we only have (1) and (2)? It may not
much useful if only
Github user jkbradley commented on the issue:
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Thanks @WeichenXu123 ! LGTM
As I just mentioned in the JIRA, I'm going to backport this to branch-2.3
for release with 2.3.0 since this is arguably a bug fix for ML in streaming.
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--- Diff: python/pyspark/ml/feature.py ---
@@ -1641,6 +1642,118 @@ def getDropLast(self):
return self.getOrDefault(self.dropLast)
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I'll review this now
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LGTM pending tests
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Github user rednaxelafx commented on the issue:
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Thanks for your comments and questions, @kiszk and @maropu !
Let me address them in a couple of separate points.
**tl;dr**
On top of my original proposal in the PR
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retest this please
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--- Diff:
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Github user jiangxb1987 commented on the issue:
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I was actually suggesting have the "aggressive" option default turned on,
and I'm also fine to not have that config at all. Will take a closer look at
this later, thanks you for ping me @squito
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--- Diff:
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@@ -52,6 +52,10 @@ class
GitHub user dongjoon-hyun opened a pull request:
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[SPARK-23049][SQL] `spark.sql.files.ignoreCorruptFiles` should work for ORC
files
## What changes were proposed in this pull request?
When `spark.sql.files.ignoreCorruptFiles=true`,
Github user tdas commented on a diff in the pull request:
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@@ -0,0 +1,23 @@
+/*
+ *
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Github user tdas commented on a diff in the pull request:
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Github user ajbozarth commented on the issue:
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Ok, no problems here on that front then. If I have time later to do a
proper review and this has't been merged yet I'll take better a look at the
whole PR
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Github user squito commented on the issue:
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well, perhaps I mis-represented this -- you still need to turn the event
log cleaning on explicitly with the old option,
"spark.history.fs.cleaner.enabled". This just doesn't include the
Github user ajbozarth commented on the issue:
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I haven't had a chance to read though your code, but as @squito said, I am
against any default feature that deletes files from the eventLog dir. Many
users, such as myself, use one log dir for
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retest this please
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Github user zsxwing commented on the issue:
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@mgaido91 Ah, sorry. There is a race condition in this test since the query
may make progress when we are checking the results. Please revert to your
previous test. Thanks!
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Github user tejasapatil commented on the issue:
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Now that https://github.com/apache/spark/pull/19080 has been merged to
trunk, I am rebasing this PR. A small part of this PR is put in
https://github.com/apache/spark/pull/20206 and ready for
Github user jkbradley commented on the issue:
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LGTM
I'm going to merge this with master and backport it to branch-2.3 since
this fixes 1 of 2 bugs in RFormulaModel for use with Structured Streaming.
Thanks @MrBago !
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| 2| 1.1094003924504583|
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Reviewing now
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@viirya
Discuss with @jkbradley offline, we're now busy fixing some issues (e.g.
#20238) in ML structured streaming support, it looks bad after the code freeze,
and we may not be able to
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Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/20167#discussion_r161075477
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala
---
@@ -80,10 +80,27 @@ trait
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/20167#discussion_r161074854
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala
---
@@ -80,10 +80,27 @@ trait
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/20167#discussion_r161075359
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala
---
@@ -80,10 +80,27 @@ trait
Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/20167#discussion_r161075101
--- Diff:
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala
---
@@ -80,10 +80,27 @@ trait
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