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GitHub user MechCoder opened a pull request:
https://github.com/apache/spark/pull/4231
[SPARK-3381] [MLlib] Eliminate bins for unordered features
For unordered features, it is sufficient to use splits since the threshold
of the split corresponds to the the threshold of the HighSplit
Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/4231#issuecomment-71724940
ping @jkbradley . Would be great if you could have a look.
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Github user JoshRosen commented on the pull request:
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> I don't exactly know how to test the full stack (as now this requires
actual executors to throw the TaskEndReason back to the driver) while having
the scheduler someh
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Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4151#discussion_r23643515
--- Diff: python/pyspark/ml/util.py ---
@@ -0,0 +1,35 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor lic
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/4216#issuecomment-71729792
Hi @andrewor14 , I see the bug is targeted at 1.3. This seems like a pretty
considerable change to come so code to the branching point. Should we target it
at 1.4 instead?
Github user davies commented on a diff in the pull request:
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Github user cthom commented on the pull request:
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Is there anyway to maintain some kind state about the model as it's being
built? For GBT models, one usually sees a plot of the error vs number of trees
in the model. If th
GitHub user tzolov opened a pull request:
https://github.com/apache/spark/pull/4232
[SPARK-5428]: Declare the 'assembly' module at the bottom of the
element in the parent POM
- Reorder the pom's element list to put the assembly module at
the bottom.
- Add a comment that remi
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Github user rxin closed the pull request at:
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Github user rxin commented on the pull request:
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Ah never mind this is my own pull request. Closing it.
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Github user jkbradley commented on the pull request:
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@cthom Validation on-the-fly during training would be great to have.
Let's discuss it in a separate JIRA; I just created one:
[https://issues.apache.org/jira/browse/S
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Github user ksakellis commented on the pull request:
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@andrewor14 @JoshRosen Ping. Can you guys review this. I'd like to get it
in Spark 1.3
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Github user sryza commented on the pull request:
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This looks reasonable. Was initially worried that changing the order might
mess with the effect of classloader instantiation on the thread pool but on
deeper inspection th
Github user ehiggs commented on the pull request:
https://github.com/apache/spark/pull/4204#issuecomment-71740260
Thanks for your feedback.
So the `FileInputFormat` is responsible for sorting the file pieces. I
think this means any file format that one expects `sortByKey` to
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GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/4233
[WIP] [SPARK-4587] [mllib] ML model import/export
This is a WIP PR for Parquet-based model import/export. Please see the
design doc on [the JIRA](https://issues.apache.org/jira/browse/SPARK-4587)
Github user ryan-williams commented on the pull request:
https://github.com/apache/spark/pull/4212#issuecomment-71741357
cool, thanks Sandy, I was also a little unsure whether any crazy side
effects could result from this but couldn't detect any.
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4204#issuecomment-71741379
Yes, or override `listStatus` I think. I suppose that also has the problem
of not being universal. I wonder how often it's necessary to ensure that
partitions are preserve
Github user vanzin commented on a diff in the pull request:
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Sp
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Sp
Github user mccheah commented on the pull request:
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Jenkins, retest this please
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Sp
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LGTM aside from some very minor things.
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Github user wingchen commented on the pull request:
https://github.com/apache/spark/pull/4146#issuecomment-71744301
@JoshRosen Can we have this in the next release? We will have to use our
own fork if it's not in. Thanks
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/3658#issuecomment-71747360
@vanzin yeah this is a fair point, this would mean that network/common
would expose the (un-shaded) Guava classes... a bit clunky. If those classes
change in the future
Github user marmbrus commented on a diff in the pull request:
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GitHub user srowen opened a pull request:
https://github.com/apache/spark/pull/4234
SPARK-3290 [GRAPHX] No unpersist callls in SVDPlusPlus
This just unpersist()s each RDD in this code that was cache()ed.
You can merge this pull request into a Git repository by running:
$ git pu
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S
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Github user mengxr commented on the pull request:
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Merged into master and branch-1.2. Thanks!
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Github user ankurdave commented on the pull request:
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I don't think this will always have the desired effect. In the cases where
you unpersist upstream RDDs before materializing their results, it's equivalent
to never cach
Github user pwendell commented on the pull request:
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Cool - thanks Sandy!
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@zxwing - want to take a look at this?
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Github user SparkQA commented on the pull request:
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/3519#issuecomment-71754871
Btw, the citations should go to the Scala doc, so they appear in the
generated API docs.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/4151#issuecomment-71754975
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Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/4151#discussion_r23655542
--- Diff:
examples/src/main/python/ml/simple_text_classification_pipeline.py ---
@@ -0,0 +1,79 @@
+#
+# Licensed to the Apache Software Foundation (ASF
Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/4228#issuecomment-71756156
I think this would be a great API to add. Have you weighed adding a
numLevels argument to `reduce` itself instead of a new method?
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/4173#issuecomment-71756241
Alright I'm going to merge this one since it touches too many moving parts.
I will submit another PR later today to update documentation and address
Michael's comments. It w
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/4173
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Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/4151#discussion_r23655833
--- Diff: python/docs/pyspark.ml.rst ---
@@ -0,0 +1,41 @@
+pyspark.ml package
+=
--- End diff --
This package should b
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/4151#discussion_r23655870
--- Diff: python/docs/pyspark.ml.rst ---
@@ -0,0 +1,41 @@
+pyspark.ml package
+=
+
+Submodules
+--
+
+py
GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/4235
[SPARK-5097][SQL] Test cases for DataFrame expressions.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/rxin/spark df-tests1
Alternatively you can
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/4151#discussion_r23655941
--- Diff: python/pyspark/ml/__init__.py ---
@@ -0,0 +1,324 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributo
Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/4151#discussion_r23655975
--- Diff: python/pyspark/ml/__init__.py ---
@@ -0,0 +1,324 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributo
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