Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/13745#discussion_r68183934
--- Diff:
examples/src/main/java/org/apache/spark/examples/ml/JavaQuantileDiscretizerExample.java
---
@@ -54,14 +54,15 @@ public static void main(String[] args) {
});
Dataset<Row> df = spark.createDataFrame(data, schema);
-
- // Note that we compute exact quantiles here by setting
`relativeError` to 0 for
- // illustrative purposes, however in most cases the default parameter
value should suffice
+ // $example off$
+ // Output of QuantileDiscretizer for such small datasets differ wrt
underlying cores.
+ // Allocating single partition for the dataframe helps with consistent
results.
--- End diff --
Can me make this "Here we force a single partition to ensure consistent
results. Note this is not necessary for normal use cases".
It must be clear not to do this in normal usage
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