Github user VinceShieh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15428#discussion_r84205414
--- Diff: docs/ml-features.md ---
@@ -1104,9 +1104,11 @@ for more details on the API.
`QuantileDiscretizer` takes a column with continuous features and outputs
a column with binned
categorical features. The number of bins is set by the `numBuckets`
parameter. It is possible
that the number of buckets used will be less than this value, for example,
if there are too few
-distinct values of the input to create enough distinct quantiles. Note
also that NaN values are
-handled specially and placed into their own bucket. For example, if 4
buckets are used, then
-non-NaN data will be put into buckets[0-3], but NaNs will be counted in a
special bucket[4].
+distinct values of the input to create enough distinct quantiles. Note
also that QuantileDiscretizer
--- End diff --
In cases when the number of buckets requested by the user is greater than
the number of distinct splits generated from Bucketizer, the returned number of
buckets will be less than requested.
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