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[GitHub] [spark] zhengruifeng opened a new pull request #31276: [SPARK-34189][ML] w2v findSynonyms optimization
zhengruifeng opened a new pull request #31276:
URL: https://github.com/apache/spark/pull/31276
### What changes were proposed in this pull request?
1, use Guavaording instead of BoundedPriorityQueue;
2, use local variables;
3, avoid conversion: ml.vector -> mllib.vector
### Why are the changes needed?
this pr is about 30% faster than existing impl
### Does this PR introduce _any_ user-facing change?
NO
### How was this patch tested?
existing testsuites
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[GitHub] [spark] zhengruifeng commented on pull request #31276: [SPARK-34189][ML] w2v findSynonyms optimization
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zhengruifeng commented on pull request #31276:
URL: https://github.com/apache/spark/pull/31276#issuecomment-767961825
Merged to master, thanks @srowen !
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**[Test build #134320 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/134320/testReport)** for PR 31276 at commit [`298c6fa`](https://github.com/apache/spark/commit/298c6fa38d6f44c3179a233f89fd669c4e3a6d11).
* This patch **fails PySpark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.
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[GitHub] [spark] zhengruifeng closed pull request #31276: [SPARK-34189][ML] w2v findSynonyms optimization
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zhengruifeng closed pull request #31276:
URL: https://github.com/apache/spark/pull/31276
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zhengruifeng commented on pull request #31276:
URL: https://github.com/apache/spark/pull/31276#issuecomment-767383077
friendly ping @srowen
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[GitHub] [spark] zhengruifeng commented on pull request #31276: [SPARK-34189][ML] w2v findSynonyms optimization
Posted by GitBox <gi...@apache.org>.
zhengruifeng commented on pull request #31276:
URL: https://github.com/apache/spark/pull/31276#issuecomment-764468057
train a model with https://en.wikipedia.org/wiki/Word2vec as the training data;
```
import org.apache.spark.ml.feature._
val df = spark.read.text("/d0/Dev/PRs/Word2vec")
val df2 = df.as[String].map(_.split(" ")).toDF("words")
val w2v = new Word2Vec().setInputCol("words").setMaxIter(1)
val w2vm = w2v.fit(df2)
w2vm.save("/tmp/w2vm")
```
performance test
```
import org.apache.spark.ml.feature._
val w2vm = Word2VecModel.load("/tmp/w2vm")
val words = w2vm.getVectors.select("word").as[String].collect
val start = System.currentTimeMillis; Seq.range(0, 10000).foreach { i => words.foreach(word => w2vm.findSynonymsArray(word, 10)) }; val end = System.currentTimeMillis; val duration = end - start;
```
results:
master: 8978
this PR: 6419, about 30% faster than existing impl
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[GitHub] [spark] zhengruifeng commented on pull request #31276: [SPARK-34189][ML] w2v findSynonyms optimization
Posted by GitBox <gi...@apache.org>.
zhengruifeng commented on pull request #31276:
URL: https://github.com/apache/spark/pull/31276#issuecomment-764468057
train a model with https://en.wikipedia.org/wiki/Word2vec as the training data;
```
import org.apache.spark.ml.feature._
val df = spark.read.text("/d0/Dev/PRs/Word2vec")
val df2 = df.as[String].map(_.split(" ")).toDF("words")
val w2v = new Word2Vec().setInputCol("words").setMaxIter(1)
val w2vm = w2v.fit(df2)
w2vm.save("/tmp/w2vm")
```
performance test
```
import org.apache.spark.ml.feature._
val w2vm = Word2VecModel.load("/tmp/w2vm")
val words = w2vm.getVectors.select("word").as[String].collect
val start = System.currentTimeMillis; Seq.range(0, 10000).foreach { i => words.foreach(word => w2vm.findSynonymsArray(word, 10)) }; val end = System.currentTimeMillis; val duration = end - start;
```
results:
master: 8978
this PR: 6419, about 30% faster than existing impl
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**[Test build #134347 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/134347/testReport)** for PR 31276 at commit [`e3ce5de`](https://github.com/apache/spark/commit/e3ce5deaec35cd762aecd418620173ef0a8de726).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.
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