Github user MLnick commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13176#discussion_r64001546
  
    --- Diff: docs/ml-features.md ---
    @@ -1064,7 +1069,8 @@ 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.
    +find fewer depending on the data sample values. Relative precision of the 
approxQuantile is set using
    --- End diff --
    
    We should clarify that the quantile computation is approximate, perhaps 
borrowing from the `approxQuantile` docs, and provide a link to the API doc for 
the function.


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