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| -rw-r--r-- | docs/mllib-feature-extraction.md | 2 |
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: |