Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/6795#discussion_r33840468
--- Diff: docs/mllib-feature-extraction.md ---
@@ -617,3 +617,43 @@ println("PCA Mean Squared Error = " + MSE_pca)
{% endhighlight %}
</div>
</div>
+
+## Significant Selector
+Idea of this transformation it safe reduce big vector that was produced by
Hashing TF for example
+for reduce requirement of memory for manipulation on them.
+
+This transformation create a model that keep only indices that has
different values on fit stage.
--- End diff --
"This transformation creates a model which drops all indices that were
constant across all training instances seen in SignificantSelector#fit()"
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