Github user BenFradet commented on a diff in the pull request:
https://github.com/apache/spark/pull/9962#discussion_r46562444
--- Diff: docs/ml-features.md ---
@@ -1705,6 +1705,71 @@ print(output.select("features", "clicked").first())
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</div>
+## QuantileDiscretizer
+
+`QuantileDiscretizer` takes a column with continuous features and outputs
a column with binned
+categorical features.
+The bin ranges are chosen by taking a sample of the data and dividing it
into roughly equal parts.
+The lower and upper bin bounds will be `-Infinity` and `+Infinity`,
covering all real values.
+This attempts to find numBuckets partitions based on a sample of the given
input data, but it may
+find fewer depending on the data sample values.
+
+Note that the result may different every time you run it, since the sample
strategy behind it is
--- End diff --
"may be different" or "may differ" but not "may different"
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