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cc @felixcheung @shivaram
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[SPARK-17057][ML] ProbabilisticClassifierModels' prediction more reasonable
with multi zero thresholds
## What changes were proposed in this pull request?
Change the behavior of
Github user dongjoon-hyun commented on the issue:
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Hi, @cloud-fan .
Could you review this PR about HINT when you have some time?
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cc @cloud-fan @JoshRosen
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[SPARK-17056][Core] Fix a wrong assert regarding unroll memory in
MemoryStore
## What changes were proposed in this pull request?
There is an assert in MemoryStore's putIteratorAsValues
Github user dongjoon-hyun commented on the issue:
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I see. Thank you for guidance. Initially, I thought this table property is
orthogonally skipping the starting rows of each file for all formats. And, I
assumed that users will not use this
Github user mpjlu commented on a diff in the pull request:
https://github.com/apache/spark/pull/14597#discussion_r74721128
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/ChiSqSelector.scala ---
@@ -197,3 +197,28 @@ class ChiSqSelector @Since("1.3.0") (
new
Github user mpjlu commented on the issue:
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Hi @avulanov . In general, FPR feature selection should not modify the
code of existing ChiSqSelector, as we have implemented in this PR. But if we
need to reuse the ChiSqTestResult
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Does this option make sense in Parquet or ORC?
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Github user cloud-fan commented on the issue:
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> hive.exec.dynamic.partition also impacts our regular writing paths
I think it's hive only conf? Normal data source relation should not read
this conf.
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GitHub user yanboliang opened a pull request:
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[Minor] [SparkR] spark.glm weightCol should in the signature.
## What changes were proposed in this pull request?
Fix the issue that ```spark.glm``` ```weightCol``` should in the signature.
Github user yanboliang commented on the issue:
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@felixcheung @shivaram @junyangq I changed the name to
```spark.gaussianMixture``` following other SparkR ML wrappers such as
```spark.naiveBayes```. The Spark implementation is very similar
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Github user yucai commented on the issue:
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retest this please
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LGTM
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Can one of the admins verify this patch?
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GitHub user VinceShieh opened a pull request:
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[SPARK-17055] add labelKFold to CrossValidator
## What changes were proposed in this pull request?
This patch improves the CrossValidator by adding a new training/validation
split
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Although I fix it by using the correct cache dir for mac OS, I am confused
why we need to download sparkR. I don't remember it is needed in spark 1.x. Is
this expected behavior ? @shivaram @junyangq
GitHub user zjffdu opened a pull request:
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[SPARK-18054][SPARKR] SparkR can not run in yarn-cluster mode on mac os
## What changes were proposed in this pull request?
Change the cache dir in mac os.
## How was this
Github user shenh062326 commented on a diff in the pull request:
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--- Diff:
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@@ -798,6 +798,19 @@ private[spark] class TaskSetManager(
}
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Hi, @rxin . I update the PR description first.
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```
/home/jenkins/workspace/SparkPullRequestBuilder/dev/mima: line 37: 40498
Aborted (core dumped) java -XX:MaxPermSize=1g -Xmx2g -cp
"$TOOLS_CLASSPATH:$OLD_DEPS_CLASSPATH"
Github user tedyu commented on the issue:
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Jenkins, test this please.
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Github user wangmiao1981 commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib.R ---
@@ -299,6 +308,91 @@ setMethod("summary", signature(object =
"NaiveBayesModel"),
return(list(apriori =
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -354,6 +354,24 @@ setMethod("colnames<-",
dataFrame(sdf)
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Github user dongjoon-hyun commented on the issue:
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Hi, @rxin .
For `window_function.sql`, could you review again when you have some time?
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--- Diff: python/pyspark/sql/functions.py ---
@@ -426,6 +426,29 @@ def monotonically_increasing_id():
return
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--- Diff: R/pkg/R/mllib.R ---
@@ -414,6 +421,94 @@ setMethod("predict", signature(object = "KMeansModel"),
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Github user dongjoon-hyun closed the pull request at:
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Github user dongjoon-hyun commented on the issue:
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I'm close this issue since Spark does not want to support this option. The
issue was finalized as `WON'T FIX`. See the Jira issue.
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Github user dongjoon-hyun commented on the issue:
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Actually, I described like that for simplicity. But, CSV is one of the
typical case of this option. This issue is not a CSV specific issue. I think
this is a general table properties as you
Github user keypointt commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib.R ---
@@ -414,6 +421,94 @@ setMethod("predict", signature(object = "KMeansModel"),
Github user rxin commented on the issue:
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Is this a CSV specific issue? If yes, it seems wrong to have logic
implemented for all hive serdes for this thing.
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--- Diff: python/pyspark/sql/functions.py ---
@@ -426,6 +426,29 @@ def monotonically_increasing_id():
return
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