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Github user jerryshao commented on the issue:
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@ConeyLiu what about the below example, does your implementation support
this?
```scala
trait Base { val name: String }
case class A(name: String) extends Base
case class
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GitHub user WeichenXu123 opened a pull request:
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[SPARK-11215][ml] Add multiple columns support to StringIndexer
## What changes were proposed in this pull request?
Add multiple columns support to StringIndexer.
## How was
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Github user bali0019 commented on the issue:
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Hi @kiszk , I have few questions on this PR.
Is there any time estimate on when this PR is supposed to merge ?
Also, are these 3 commits under this PR planned to be pushed to Spark 2.2
as
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> I'm reluctant to generalize this PR without practical experience applying
it to other column-oriented file formats. The only format I'm familiar with and
have production experience with is
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Thank you so much, @cloud-fan !
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Thanks! Merged to 2.2
Could you close this PR?
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Merging to master / 2.2 / 2.1.
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Github user gatorsmile commented on the issue:
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The current solution could OOM executors whose memory sizes are normally
much smaller than the driver. We might also see the performance regression when
the number of partitions is large and the
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Github user mallman commented on the issue:
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> @mallman I will try to go through this again. Do you think this can be
generalized to data source v2 API?
I'm not familiar with that API.
I'm reluctant to generalize this PR
Github user LucaCanali commented on the issue:
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Thanks @umehrot2 for the review and comments. Indeed well spotted that I
had forgotten a couple of metrics and added one of them twice. This is
hopefully fixed with the latest commit. As for
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@akopich I'm actually leaning towards "filter after sample".
1. so we don't need to change `miniBatchFraction` in
` docs.sample(withReplacement = sampleWithReplacement,
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@vanzin Thanks for the continued review. I addressed the comments you left.
PTAL.
It seems simplest and more robust to keep the serialized `Credentials`
within
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Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15770
@WeichenXu123 , for the graph helper, the Mllib has a version takes
`Graph[Double, Double]` as a parameter for training. In ML, do we have to
provide `DataSet` of `Graph`? Can you specify the
Github user MrBago commented on a diff in the pull request:
https://github.com/apache/spark/pull/19439#discussion_r148049352
--- Diff: python/pyspark/ml/image.py ---
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/19621
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/19439#discussion_r148027184
--- Diff: python/pyspark/ml/image.py ---
@@ -0,0 +1,139 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
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