Github user yanboliang commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/NormalEquationSolver.scala ---
@@ -0,0 +1,165 @@
+/*
+ * Licensed to the Apache Software
Github user yanboliang commented on a diff in the pull request:
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--- Diff: mllib-local/src/main/scala/org/apache/spark/ml/linalg/BLAS.scala
---
@@ -244,6 +244,15 @@ private[spark] object BLAS extends Serializable {
Github user yanboliang commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala ---
@@ -217,7 +215,7 @@ class LinearRegression @Since("1.3.0")
Github user yanboliang commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/WeightedLeastSquares.scala ---
@@ -45,34 +47,48 @@ private[ml] class WeightedLeastSquaresModel(
Github user yanboliang commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/optim/WeightedLeastSquares.scala ---
@@ -45,34 +47,48 @@ private[ml] class WeightedLeastSquaresModel(
Github user yanboliang commented on a diff in the pull request:
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--- Diff:
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@@ -45,34 +47,48 @@ private[ml] class WeightedLeastSquaresModel(
Github user yhuai commented on the issue:
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Actually, when will a user want to specify non-nullable for any json field?
I am not sure if we are actually addressing the right problem. I am wondering
if we should just not allow non-nullable
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Github user yhuai commented on the issue:
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Yea. That's a good point. If we do not allow non-nullable fields, we should
also let users easily convert nullability field. Let me also check with
@marmbrus.
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Github user ThomasLau closed the pull request at:
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/14963
Also @Stibbons I'm sorry the process has been so challenging and thanks for
hanging in with it :)
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Github user lins05 commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
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@@ -74,14 +74,26 @@ abstract class QueryPlan[PlanType <:
Github user lins05 commented on a diff in the pull request:
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--- Diff:
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---
@@ -74,14 +74,26 @@ abstract class QueryPlan[PlanType <:
Github user srowen commented on the issue:
https://github.com/apache/spark/pull/15382
OK, now using `Utils.resolveURI`. This means all inputs without a scheme
resolve as `file:` URIs, including the default "spark-warehouse". This will
continue to resolve to the local working dir by
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Github user hvanhovell commented on a diff in the pull request:
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@@ -29,12 +28,23 @@ sealed trait IdentifierWithDatabase {
Github user keypointt commented on the issue:
https://github.com/apache/spark/pull/15353
@felixcheung nice catch, you are right and a more general fix is needed
then, working on it
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Github user paberline commented on the issue:
https://github.com/apache/spark/pull/8384
Hi @holdenk - thanks for taking the time to look at this. I understand this
PR
might be too esoteric for Spark core. I will close it once @mengxr
@jkbradley and @davies confirm.
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/9
@MLnick I'm not sure I understand what you're saying. Where are we
discarding cluster centers?
Maybe we should say that the `initialModel` always takes precedence over
`k`. So we can just
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Right I think the virtualenv support for PySpark in general is interesting
- but its a large enough change we would need to get some substantail reviewer
time dedicated to it (and I don't see that
Github user yanboliang commented on the issue:
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Will make another indepth pass in a few days. Thanks.
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Github user hvanhovell commented on the issue:
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@jiangxb1987 This looks pretty good.
What is the problem `getTable` and `getFunction`? Could you give an
example? assume you are talking about the
`org.apache.spark.sql.catalog.Catalog`
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Github user avulanov commented on a diff in the pull request:
https://github.com/apache/spark/pull/15382#discussion_r82507085
--- Diff:
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@@ -757,7 +758,10 @@ private[sql] class SQLConf extends Serializable with
Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/15097
@felixcheung
it is the case when r-side pass an empty array and scala-side parameter
type is Array[T] then there is some problem (as the TODO described in
serialize.R: 166 line)...but
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/15329
@yhuai Sure, I support that idea too as I think in the same way; these
would be corner cases. However, just the case I thought instantly is, to use
the same schema used as it is (because
Github user HyukjinKwon commented on the issue:
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I am willing to follow your decision if you confirm.
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Github user holdenk commented on the issue:
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I was going through the old PySpark JIRAs and there is one about an
unexpected pandas failure, which could be semi-related (e.g. good virtual env
support with a reasonable requirements file could
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GitHub user bkpathak reopened a pull request:
https://github.com/apache/spark/pull/12691
[Spark-14761][SQL][WIP] Reject invalid join methods when join columns are
not specified in PySpark DataFrame join.
## What changes were proposed in this pull request?
In PySpark, the
Github user tnachen commented on the issue:
https://github.com/apache/spark/pull/13713
@drcrallen Are you still planning to update this? It's quite a useful
feature, so hoping this can get in. Also since Fine grain mode is depcreated I
don't think we need to update it too.
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Github user tnachen commented on the issue:
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@devaraj-kavali Are you still able to update this patch?
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Github user tnachen commented on the issue:
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@hellertime Are you able to rebase?
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Github user tnachen commented on the issue:
https://github.com/apache/spark/pull/9287
This has been stale for a while, we should close this if there is no update
here.
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Github user HyukjinKwon commented on the issue:
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+1 for closing.
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Github user rxin commented on the issue:
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I'm going to move the discussions over to JIRA.
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Github user bkpathak commented on the issue:
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Hi @holdenk I am still interested in working on this but it looks like I
pull and merged with a master branch instead of rebasing it. Can I close it and
open another pull request. Or how should I
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Github user seyfe commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/executor/TaskMetrics.scala
---
@@ -326,36 +324,13 @@ private[spark] object TaskMetrics extends Logging {
Github user wzhfy commented on the issue:
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retest this please
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Github user kiszk commented on the issue:
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@hvanhovell, after my investigations, I have added code to generate
`UnsafeArrayData' at two code paths. Could you please review this again?
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GitHub user bkpathak reopened a pull request:
https://github.com/apache/spark/pull/12691
[Spark-14761][SQL][WIP] Reject invalid join methods when join columns are
not specified in PySpark DataFrame join.
## What changes were proposed in this pull request?
In PySpark, the
Github user bkpathak closed the pull request at:
https://github.com/apache/spark/pull/12691
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Github user bkpathak closed the pull request at:
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GitHub user yintengfei opened a pull request:
https://github.com/apache/spark/pull/15404
Branch 2.0
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512937
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512799
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512787
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512727
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user gatorsmile commented on the issue:
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Saw @viirya submitted a PR for the same issue:
https://github.com/apache/spark/pull/7793
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512689
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512723
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512794
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82513082
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/r/DecisionTreeRegressorWrapper.scala
---
@@ -0,0 +1,127 @@
+/*
+ * Licensed to the Apache
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512770
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82513063
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/r/DecisionTreeClassifierWrapper.scala
---
@@ -0,0 +1,129 @@
+/*
+ * Licensed to the Apache
Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512914
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512650
--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
@@ -791,4 +791,59 @@ test_that("spark.kstest", {
expect_match(capture.output(stats)[1],
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/13690#discussion_r82512708
--- Diff: R/pkg/R/mllib.R ---
@@ -1427,3 +1447,185 @@ print.summary.KSTest <- function(x, ...) {
cat(summaryStr, "\n")
invisible(x)
}
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Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/15399
Hi, @gatorsmile .
Could you review this PR when you have sometime?
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Github user zjffdu commented on the issue:
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@vanzin @holdenk @BryanCutler PR is updated, please help review.
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Github user SparkQA commented on the issue:
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Github user skonto commented on the issue:
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WIP
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Github user SparkQA commented on the issue:
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