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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Column.scala ---
@@ -68,6 +68,25 @@ class TypedColumn[-T, U](
}
new TypedColumn[T,
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[SPARK-15143][SPARK-15144][SQL] Add CSV tests with HadoopFsRelationTest and
support for nullValue for other types
## What changes were proposed in this pull request?
Currently,
GitHub user wangmiao1981 opened a pull request:
https://github.com/apache/spark/pull/12922
[SPARK-15145][ML]:spark.ml binary classification should include accuracy
## What changes were proposed in this pull request?
Add accuracy into binary classification metrics.
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Github user jasonmoore2k commented on the pull request:
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Done! Thanks for the review.
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@holdenk, I'm checking with @jkbradley about "respect the difference
between defaultParamMap and paramMap" in the requirement. The new input
parameter is optional and
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--- Diff:
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@@ -129,7 +129,16 @@ case class DescribeFunction(
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--- Diff:
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@@ -245,7 +301,21 @@ class InMemoryCatalog extends
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LGTM, merging into master, thanks!
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Thanks - merging in master/branch-2.0.
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sure!
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@NarineK It will be great if could update that too.
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@@ -245,7 +301,21 @@ class InMemoryCatalog extends
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Github user zhengruifeng commented on the pull request:
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There seems no similar API to directly get `numClass` like scala
`val numClasses = MetadataUtils.getNumClasses(predictionColSchema).get`
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[SPARK-15141][DOC] Add python example for OneVsRest
## What changes were proposed in this pull request?
Add python example for OneVsRest
## How was this patch tested?
Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/InMemoryCatalog.scala
---
@@ -104,6 +119,14 @@ class InMemoryCatalog extends
Github user NarineK commented on the pull request:
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So, do you want me to update the Dataset.scala too or only the doc in R ?
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---
@@ -85,6 +93,13 @@ class InMemoryCatalog extends
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -570,10 +570,17 @@ setMethod("unpersist",
#' Repartition
#'
-#' Return a new SparkDataFrame that has
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -570,10 +570,17 @@ setMethod("unpersist",
#' Repartition
#'
-#' Return a new SparkDataFrame that has
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -570,10 +570,17 @@ setMethod("unpersist",
#' Repartition
#'
-#' Return a new SparkDataFrame that
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Github user davies commented on the pull request:
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I will be great we could have a test to make sure that we always have this
behavior.
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -570,10 +570,17 @@ setMethod("unpersist",
#' Repartition
#'
-#' Return a new SparkDataFrame that has
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--- Diff:
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@@ -34,9 +34,8 @@ import
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -570,10 +570,17 @@ setMethod("unpersist",
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#'
-#' Return a new SparkDataFrame that has
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[SPARK-15139][SPARK-15092][PYSPARK][ML] Pyspark TreeEnsemble missing methods
## What changes were proposed in this pull request?
Add `toDebugString` and `totalNumNodes` to
Github user davies commented on the pull request:
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InMemoryTableScanExec is a case class, not singleton, why can we not
implement these there?
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -570,10 +570,17 @@ setMethod("unpersist",
#' Repartition
#'
-#' Return a new SparkDataFrame that has
Github user zsxwing commented on the pull request:
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LGTM. Merging to master / 2.0
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LGTM
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LGTM. Thanks @NarineK -- @davies Can you take one final look and then merge
?
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--- Diff: R/pkg/R/window.R ---
@@ -0,0 +1,92 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license
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--- Diff:
core/src/test/scala/org/apache/spark/deploy/SparkSubmitSuite.scala ---
@@ -575,8 +575,13 @@ class SparkSubmitSuite
// NOTE: This is an
Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/12801#issuecomment-217070994
Regarding SPARK-15026, my major concern is we might get JIRAs if the
previous `Drop Partition` command only drops a subset of partitions. If users
issue the same
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Github user zhengruifeng commented on the pull request:
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cc @jkbradley @mengxr Summary for BisectingKMeans is still missing now
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[SPARK-15137][PySpark][DOC] Fix links to sphinx style and add a default
param doc note
## What changes were proposed in this pull request?
PyDoc links in ml are in non-standard format.
Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/12801#issuecomment-217070045
@andrewor14 For the defect mentioned in SPARK-14684, you can reproduce it
by using the following statement:
```
sql(s"ALTER TABLE $externalTab DROP PARTITION
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/12899#issuecomment-217064808
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Github user zhengruifeng commented on the pull request:
https://github.com/apache/spark/pull/12788#issuecomment-217064788
@sethah It seems that these examples follow `ml.kmeans`'s examples.
I agreed that it's better to keep in line with mllib's, especially the
output information.
Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/12427#issuecomment-217064757
I have the same concern with @zsxwing , what if we execute a DataFrame
multiple times?
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