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authorRJ Nowling <rnowling@gmail.com>2014-09-22 09:10:41 -0700
committerXiangrui Meng <meng@databricks.com>2014-09-22 09:10:41 -0700
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treece36ea494eac5fbc9971783cd31d3187e72402dd /docs/mllib-feature-extraction.md
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[MLLib] Fix example code variable name misspelling in MLLib Feature Extraction guide
Author: RJ Nowling <rnowling@gmail.com> Closes #2459 from rnowling/tfidf-fix and squashes the following commits: b370a91 [RJ Nowling] Fix variable name misspelling in MLLib Feature Extraction guide
Diffstat (limited to 'docs/mllib-feature-extraction.md')
-rw-r--r--docs/mllib-feature-extraction.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/mllib-feature-extraction.md b/docs/mllib-feature-extraction.md
index 44f0f76220..41a27f6208 100644
--- a/docs/mllib-feature-extraction.md
+++ b/docs/mllib-feature-extraction.md
@@ -68,7 +68,7 @@ val sc: SparkContext = ...
val documents: RDD[Seq[String]] = sc.textFile("...").map(_.split(" ").toSeq)
val hashingTF = new HashingTF()
-val tf: RDD[Vector] = hasingTF.transform(documents)
+val tf: RDD[Vector] = hashingTF.transform(documents)
{% endhighlight %}
While applying `HashingTF` only needs a single pass to the data, applying `IDF` needs two passes: