Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/19024#discussion_r134886536
--- Diff: docs/ml-features.md ---
@@ -65,7 +65,7 @@ model binary, rather than integer, counts.
**IDF**: `IDF` is an `Estimator` which is fit on a dataset and produces an
`IDFModel`. The
`IDFModel` takes feature vectors (generally created from `HashingTF` or
`CountVectorizer`) and
-scales each column. Intuitively, it down-weights columns which appear
frequently in a corpus.
+scales each feature. Intuitively, it down-weights features which appear
frequently in a corpus.
--- End diff --
@MLnick , as I read this section on TF-IDF, it didn't seem right how it
referred to columns, so I made some changes. Does it seem ok?
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