[GitHub] spark pull request #18154: [SPARK-20932][ML]CountVectorizer support handle p...

2018-06-14 Thread zhengruifeng
Github user zhengruifeng closed the pull request at:

https://github.com/apache/spark/pull/18154


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[GitHub] spark pull request #18154: [SPARK-20932][ML]CountVectorizer support handle p...

2017-06-13 Thread hhbyyh
Github user hhbyyh commented on a diff in the pull request:

https://github.com/apache/spark/pull/18154#discussion_r121836024
  
--- Diff: 
mllib/src/main/scala/org/apache/spark/ml/feature/CountVectorizer.scala ---
@@ -154,13 +155,19 @@ class CountVectorizer @Since("1.5.0") 
(@Since("1.5.0") override val uid: String)
   override def fit(dataset: Dataset[_]): CountVectorizerModel = {
 transformSchema(dataset.schema, logging = true)
 val vocSize = $(vocabSize)
+
+val handlePersistence = $(minDF) < 1.0 &&
+  dataset.storageLevel == StorageLevel.NONE
--- End diff --

I understand your logic, but I don't think it's necessary to make it 
complicated. How about we just add the unpersist for both input and wordCounts.


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[GitHub] spark pull request #18154: [SPARK-20932][ML]CountVectorizer support handle p...

2017-05-30 Thread zhengruifeng
GitHub user zhengruifeng opened a pull request:

https://github.com/apache/spark/pull/18154

[SPARK-20932][ML]CountVectorizer support handle persistence

## What changes were proposed in this pull request?
unpersist RDDs `input` & `wordCounts` after computation

## How was this patch tested?
existing tests

You can merge this pull request into a Git repository by running:

$ git pull https://github.com/zhengruifeng/spark CountVectorizer_unpsersit

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/spark/pull/18154.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

This closes #18154


commit f7c54421ba02e5dead1b638233d008ac6cdad2af
Author: Zheng RuiFeng 
Date:   2017-05-31T04:04:40Z

create pr




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