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@@ -550,7 +550,7 @@ public void copyFrom(UnsafeRow row) {
Github user mpjlu commented on the issue:
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Thanks, @srowen . I have updated the doc.
I also validated the current option in spark-env.sh, it works.
Thanks.
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[SPARK-21306][ML] OneVsRest should cache weightCol if necessary
## What changes were proposed in this pull request?
cache weightCol if classifier inherits HasWeightCol trait.
## How
Github user srowen commented on the issue:
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Hm, can we try to set this with `System.setenv` anywhere in the code or
will it be too late by the time this triggers? probably.
I think this is OK, but should be documented also in places in
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--- Diff: python/pyspark/sql/types.py ---
@@ -958,12 +1043,17 @@ def _infer_type(obj):
return MapType(_infer_type(key), _infer_type(value
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I believe #18553 will fix the problem.
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[SPARK-21327][SQL][PYSPARK] ArrayConstructor should handle an array of
typecode 'l' as long rather than int in Python 2.
## What changes were proposed in this pull request?
Currently `Array
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@@ -113,12 +113,15 @@ class VectorAssembler @Since("1.4.0")
(@Since("1.
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GitHub user jerryshao opened a pull request:
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[Mindo][Doc] Improve the docs about how to correctly set configurations
## What changes were proposed in this pull request?
Spark provides several ways to set configurations, either from
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@@ -144,6 +144,8 @@ object TypeCoercion {
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2205,47 +2205,80 @@ class Dataset[T] private[sql](
* // max 92.0
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[SPARK-21305][ML][MLLIB]Add options to disable multi-threading of native
BLAS
## What changes were proposed in this pull request?
Many ML/MLLIB algorithms use native BLAS (like Intel MKL, AT
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LGTM, merging to master!
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--- Diff:
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@@ -777,7 +778,20 @@ class ALSSuite
}
}
-clas
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Github user viirya commented on the issue:
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Ok. Thanks! @cloud-fan @rxin @adrian-ionescu
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Github user cloud-fan commented on the issue:
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thanks, merging to master! we can have follow-up PRs if @rxin has more
thoughts about https://github.com/apache/spark/pull/18159#discussion_r125461897
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-class
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cc @ithjz This may help for your question.
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[Minor][SS] Minor doc change for kafka integration
## What changes were proposed in this pull request?
Minor change to kafka integration document for structured streaming.
## How wa
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@@ -45,11 +45,9 @@ import org.apache.spark.util.random.Ra
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retest this please
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LGTM, merging to master!
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Retest this please.
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--- Diff: core/src/main/scala/org/apache/spark/SparkConf.scala ---
@@ -373,6 +373,11 @@ class SparkConf(loadDefaults: Boolean) extends
Cloneable with Logg
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I'm in favor of discarding OWLQN. Take LiR or LoR as examples, if you
replace LBFGS with OWLQN for regression with L2 regularization, we can saw
OWLQN may converge faster than LBFGS in a certain
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--- Diff:
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@@ -550,7 +550,7 @@ public void copyFrom(UnsafeRow row) {
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ping @cloud-fan
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Merging this master and 2.2.
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--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -1922,6 +1980,39 @@ Not available in R.
+### Reporting Metrics using Dropw
Github user gengliangwang commented on the issue:
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retest this please
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/deploy/SparkSubmitArguments.scala ---
@@ -520,7 +520,7 @@ private[deploy] class SparkSubmitArguments(args:
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Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala
---
@@ -326,7 +329,10 @@ object ScalaReflection extends ScalaRefle
Github user cloud-fan commented on a diff in the pull request:
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