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---
@@ -0,0 +1,611 @@
+/*
+ * Licensed to the A
Github user jaceklaskowski commented on the issue:
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@rxin @HyukjinKwon Mind reviewing it again and letting me know what you
think? I know it's minor but would greatly appreciate having it merged at your
earliest convenience. Thanks.
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--- Diff: R/pkg/R/sparkR.R ---
@@ -344,6 +344,7 @@ sparkRHive.init <- function(jsc = NULL) {
#' @note sparkR.session since 2.0.0
sparkR.session
GitHub user tejasapatil opened a pull request:
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[SPARK-15694] Implement ScriptTransformation in sql/core
## What changes were proposed in this pull request?
Added `ScriptTransformationExec` which would run script operator in SQL
mod
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ok
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Close this PR please?
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wq
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Can one of the admins verify this patch?
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update-test
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
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Github user felixcheung commented on the issue:
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Does having ... in setGeneric forces CRAN checks to require @param there?
I think @mengxr point is that so long as the function definition also has
... we could have one @param at the fu
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Hi, @hvanhovell .
Could you review this PR when you have some time?
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Github user shivaram commented on the issue:
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@zjffdu Thanks for clarifying -- I now remember that in the YARN cluster
mode there is no `SPARK_HOME` set. However in this case the JVM comes up first
and the R process then connects to it. So in
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Hi, @rxin .
Could you review this second try for `window_function.sql`? I simplified
the test for our eyeballs.
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Github user junyangq commented on the issue:
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Yes, because the generic function and the method are grouped in the same
doc and we can only give one description for both of the `...`, we want the
actual meaning of them to be same.
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Github user gatorsmile commented on a diff in the pull request:
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Github user cloud-fan commented on the issue:
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for 1, currently we only store offsets for var-length element, we should
store offset and length as the element content will be word-aligned.
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Github user MechCoder commented on the issue:
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If that's the case then the piece of documentation that promises the
Pipeline to behave as an identity transformer when no stages are used, has to
be changed (removed).
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@rxin - I am not sure if there is an easy way to unit test this.
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@kayousterhout @tgravescs Sorry for the long-delay on my end, I have
finally updated this. I think I have addressed all the naming / commenting
issues -- I'm going to do a bit more testing on it and
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+/*
+ * Licensed to the A
Github user dongjoon-hyun commented on the issue:
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Hi, @rxin .
Could you review this PR again?
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Hi, @cloud-fan .
Could you review this PR again?
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--- Diff:
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@@ -693,7 +694,11 @@ case class LocalLi
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@@ -189,11 +228,35 @@ class ChiSqSelector @Since("1.3.0") (
*/
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Github user kiszk commented on the issue:
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@cloud-fan I see. I think that we have already done 1. I will address 2. Am
I correct?
1. in the `[offset or primitive values]`, we store the primitive values
directly, or store length and of
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*/
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Github user adamzjw commented on the issue:
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Hey, all. One of my colleagues run into a bug related to the discussion
above.
He called the Vectors.sparse(size: Int, indices: Array[Int], values:
Array[Double]) without noticing that the
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Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -370,7 +370,8 @@ class DataFrameReader private[sql](sparkSession:
Sp
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Sp
Github user zjffdu commented on the issue:
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Make sense, @felixcheung Thanks
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This change looks good to me - I don't see any other reasons that `null`
should not be read for `Boolean`, `TimestampType`, `DateType` and `StringType`
inconsistently with other types.
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Github user cloud-fan commented on the issue:
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see https://github.com/apache/spark/pull/13680#discussion_r74798477
We'd like to change the format to:
[numElements] [null bits] [offset or primitive values] [values]
in the `[
Github user asfgit closed the pull request at:
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LGTM merging.
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Github user zjffdu commented on the issue:
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There's no SPARK_HOME in yarn-cluster mode since the R process is in a
remote host of the yarn cluster rather than in the client host.
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Github user hvanhovell commented on the issue:
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@ioana-delaney I lost track of this one. I am sorry about that. Could you
update it?
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Github user mpjlu commented on a diff in the pull request:
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--- Diff:
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@@ -189,11 +228,35 @@ class ChiSqSelector @Since("1.3.0") (
*/
Github user felixcheung commented on the issue:
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Your example was failing for a different reason:
```
Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
java.lang.IllegalArgumentException: spark.executor.instances
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Github user hvanhovell commented on the issue:
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LGTM. Merging to master/2.0. Thanks!
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Github user zenglinxi0615 commented on the issue:
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Have you tried it on spark 1.6.2?
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LGTM. Merging to master. Thanks!
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@@ -201,11 +201,18 @@ abstract class ProbabilisticClassif
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14384#discussion_r75290436
--- Diff: R/pkg/R/mllib.R ---
@@ -632,3 +642,146 @@ setMethod("predict", signature(object =
"AFTSurvivalRegressionModel"),
function(object
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/14667
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14118
CC @HyukjinKwon -- WDYT?
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14667
Merged to master
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Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/14447
@keypointt could you please rebase this to master? Only 2 more comments.
cc @mengxr
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Github user srowen commented on the issue:
https://github.com/apache/spark/pull/14555
Last call for @mengxr or @jkbradley -- just want to make sure one's OK.
Certainly good for correctness.
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Github user mpjlu commented on the issue:
https://github.com/apache/spark/pull/14597
Hi @srowen , I will update the Python API to match this changes. Now, the
current Python API is not conflict with the changes.
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Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/14700
@yimuxi did you test this on AArch64? It is impossible for us to test this
on the current testing infra.
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14597#discussion_r75289596
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/ChiSqSelector.scala ---
@@ -189,11 +228,35 @@ class ChiSqSelector @Since("1.3.0") (
*/
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14447#discussion_r75289453
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/r/MultilayerPerceptronClassifierWrapper.scala
---
@@ -0,0 +1,135 @@
+/*
+ * Licensed to the A
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14700
**[Test build #63982 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/63982/consoleFull)**
for PR 14700 at commit
[`24bcf05`](https://github.com/apache/spark/commit/2
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/14447#discussion_r75289396
--- Diff: R/pkg/R/mllib.R ---
@@ -533,6 +630,28 @@ setMethod("write.ml", signature(object =
"KMeansModel", path = "character"),
invisibl
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