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.
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org