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Github user vruusmann commented on the pull request:
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The main difference between PMML and PFA is the abstraction level. PMML is
a high-level language (more similar to modeling languages such as UML), where
you're
Github user jaceklaskowski commented on the pull request:
https://github.com/apache/spark/pull/12718#issuecomment-215550190
Other than the few places where you could use symbols not string literals
LGTM. Excellent job! Thanks.
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Github user yinxusen commented on the pull request:
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@holdenk It seems not good enough, I'll add a unit test to check the
mismatch, then it will be easy to fix the mismatch default values issue.
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Github user dongjoon-hyun commented on the pull request:
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Thank you so much, @gatorsmile !
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Github user jaceklaskowski commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/ChiSqSelector.scala ---
@@ -79,11 +79,12 @@ final class ChiSqSelector(override val uid:
Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/12760#discussion_r61494141
--- Diff: docs/configuration.md ---
@@ -1249,8 +1249,32 @@ Apart from these, the following properties are also
available, and may be useful
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/12762#discussion_r61494019
--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -53,24 +53,43 @@ import org.apache.spark.util.random.XORShiftRandom
Github user gatorsmile commented on the pull request:
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Sure, will do it tomorrow.
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Github user dongjoon-hyun commented on the pull request:
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Hi, @gatorsmile and @cloud-fan .
Could you take a look at this PR when you have some time?
I think you are the best persons to review this PR.
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Github user dbtsai commented on the pull request:
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@pravingadakh Yes. Thanks.
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Github user asfgit closed the pull request at:
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Github user sethah commented on the pull request:
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ping @jkbradley @MLnick
I created this PR and [#12374](https://github.com/apache/spark/pull/12374)
to make
Github user pravingadakh commented on the pull request:
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@dbtsai Is this something you had in mind? Zip file contains the patch for
modules.
Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/12760#discussion_r61492158
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2179,6 +2179,16 @@ private[spark] object Utils extends Logging {
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/12763#issuecomment-215541758
CC: @yanboliang could you please take a look since this modifies the code
you added? Thanks!
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -53,24 +53,43 @@ import org.apache.spark.util.random.XORShiftRandom
Github user vectorijk commented on a diff in the pull request:
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--- Diff: python/pyspark/ml/tests.py ---
@@ -461,6 +461,31 @@ def _fit(self, dataset):
class CrossValidatorTests(PySparkTestCase):
+
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GitHub user jkbradley opened a pull request:
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[SPARK-14984][ML] Deprecated model field in LinearRegressionSummary
## What changes were proposed in this pull request?
Deprecated model field in LinearRegressionSummary
Removed
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Github user dbtsai commented on the pull request:
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Make it build first, and then we can start to review the code. Thanks.
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Github user dbtsai commented on the pull request:
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You need to manually add it into MiMa exclude.
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Github user MLnick commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -53,24 +53,43 @@ import org.apache.spark.util.random.XORShiftRandom
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Github user pravingadakh commented on the pull request:
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@jkbradley I'll update it soon.
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Github user daniel-siegmann-aol commented on the pull request:
https://github.com/apache/spark/pull/12761#issuecomment-215536649
Binary compatibility check failed:
method this()Unit in class
org.apache.spark.mllib.stat.MultivariateOnlineSummarizer does not have a
correspondent in
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Github user davies commented on the pull request:
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LGTM over all. There are still a few of the change that are not needed by
this PR (for example, SERIALIZED_R_DATA_SCHEMA), are these kept for future?
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Github user sameeragarwal closed the pull request at:
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Github user MLnick commented on the pull request:
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LGTM
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Github user holdenk commented on a diff in the pull request:
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -53,24 +53,43 @@ import org.apache.spark.util.random.XORShiftRandom
Github user davies commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
---
@@ -158,10 +158,15 @@ object EliminateSerialization
Github user yinxusen commented on the pull request:
https://github.com/apache/spark/pull/12738#issuecomment-215534356
@holdenk Yes this PR is just a quick fix. I'll create a new JIRA for
auditing default values.
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2179,6 +2179,16 @@ private[spark] object Utils extends Logging {
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--- Diff: R/pkg/inst/worker/worker.R ---
@@ -84,6 +84,15 @@ broadcastElap <- elapsedSecs()
# as number of partitions to create.
numPartitions <-
Github user davies commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -1125,6 +1126,66 @@ setMethod("summarize",
agg(x, ...)
})
+#' dapply
+#'
Github user tgravescs commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -2179,6 +2179,16 @@ private[spark] object Utils extends Logging {
Github user davies commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/java/org/apache/spark/sql/catalyst/expressions/UnsafeArrayData.java
---
@@ -336,4 +336,62 @@ public UnsafeArrayData copy() {
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Github user dbtsai commented on the pull request:
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Jenkins, ok to test.
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--- Diff:
core/src/main/scala/org/apache/spark/security/ShellBasedGroupsMappingProvider.scala
---
@@ -0,0 +1,53 @@
+/*
+ * Licensed to the Apache
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/12640#discussion_r61485789
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/linalg/UDTSerializationBenchmark.scala
---
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache
Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12762#discussion_r61485772
--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -53,24 +53,43 @@ import org.apache.spark.util.random.XORShiftRandom
Github user dbtsai commented on the pull request:
https://github.com/apache/spark/pull/12416#issuecomment-215531609
@pravingadakh I think you need to update `dev/sparktestsupport/modules.py`.
See
https://github.com/apache/spark/commit/efaf7d18205f5ae3a1c767942ee7d7320f7410de
Github user daniel-siegmann-aol commented on the pull request:
https://github.com/apache/spark/pull/12761#issuecomment-215531118
I should mention Nick Pentreath pointed me in the right direction on the
dev list. So, credit to him for the help!
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/11956#issuecomment-215530899
@kiszk Can we target this for 2.1? We may switch to use Apache Arrow or
other in-memory representation instead of current one.
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala
---
@@ -53,24 +53,43 @@ import org.apache.spark.util.random.XORShiftRandom
Github user tgravescs commented on a diff in the pull request:
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--- Diff:
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---
@@ -0,0 +1,53 @@
+/*
+ * Licensed to the Apache
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/12723#issuecomment-215530890
Updated!
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/12748#issuecomment-215530907
We might still disable schema inference, but until then this LGTM.
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/12571#issuecomment-215530798
thanks for pointing that out, I made similar comments on the jira in case
others don't agree with me we can discuss more.
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Github user jodersky commented on the pull request:
https://github.com/apache/spark/pull/12707#issuecomment-215530295
@srowen, I did quite some digging through the genjavadoc codebase when
re-implementing @mengxr's initial fix. I can try to fix the group warnings and
object privacy
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Github user GayathriMurali commented on the pull request:
https://github.com/apache/spark/pull/12675#issuecomment-215529653
@jkbradley Can you please ok to test this
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cc @sethah @BenFradet @srowen @jkbradley @yanboliang
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GitHub user MLnick opened a pull request:
https://github.com/apache/spark/pull/12762
[SPARK-14891][ML] Add schema validation for ALS
This PR adds schema validation to `ml`'s ALS and ALSModel. Currently, no
schema validation was performed as `transformSchema` was never called in
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/12698
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Merged to master
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Can one of the admins verify this patch?
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Github user tgravescs commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/SecurityManager.scala ---
@@ -303,16 +321,33 @@ private[spark] class SecurityManager(sparkConf:
SparkConf)
Github user benmccann commented on a diff in the pull request:
https://github.com/apache/spark/pull/12757#discussion_r61480996
--- Diff: docs/programming-guide.md ---
@@ -24,7 +24,8 @@ along with if you launch Spark's interactive shell --
either `bin/spark-shell` f
Github user kevincox commented on the pull request:
https://github.com/apache/spark/pull/12335#issuecomment-215525434
@davies You mean to support non-null return values? I don't think I know
enough scala to automatically infer that.
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GitHub user daniel-siegmann-aol opened a pull request:
https://github.com/apache/spark/pull/12761
[SPARK-14464] [MLLIB] Better support for logistic regression when features
are sparse
## What changes were proposed in this pull request?
Where aggregations were being done
Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/12757#discussion_r61481646
--- Diff: docs/programming-guide.md ---
@@ -24,7 +24,8 @@ along with if you launch Spark's interactive shell --
either `bin/spark-shell` f
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/12335#issuecomment-215524585
@kevincox Could you also Update the Scala UDF?
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Github user kiszk commented on the pull request:
https://github.com/apache/spark/pull/11956#issuecomment-215524446
We can shrink the size of this PR (reducing the number of lines from 1800
to 700) by dropping test suites (1450 lines) and a benchmark program (250
lines). Is it better
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Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12683#discussion_r61481184
--- Diff: R/pkg/inst/tests/testthat/test_mllib.R ---
@@ -71,7 +71,25 @@ test_that("glm and predict", {
data = iris, family =
Github user davies commented on the pull request:
https://github.com/apache/spark/pull/12746#issuecomment-215523928
LGTM
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/12571#issuecomment-215521904
I'm OK with not doing this, I think the contributor was just following up
on an old idea from Matei.
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Github user tgravescs commented on the pull request:
https://github.com/apache/spark/pull/12571#issuecomment-215521675
I understand the argument of we want the best user experience and I'm not
against the settings themselves, I just think the benefit isn't worth the cost
here.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/12760#issuecomment-215519529
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/9207#issuecomment-215519584
I want to hold PMML support in spark.ml for Spark 2.1. We might need to
discuss more about the potential coverage we can get, especially on pipeline
support and feature
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/12758#issuecomment-215519366
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/12715#issuecomment-215519249
LGTM, I'll leave this for @srowen since he had a comment about licenses.
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Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/12715#discussion_r61477968
--- Diff: dev/deps/spark-deps-hadoop-2.3 ---
@@ -73,32 +74,41 @@ hadoop-yarn-client-2.3.0.jar
hadoop-yarn-common-2.3.0.jar
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/10270#issuecomment-215519160
OK, thanks!
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