GitHub user VinceShieh opened a pull request:
https://github.com/apache/spark/pull/14747
[SPARK-17086] Fix an issue in QuantileDiscretizer
## What changes were proposed in this pull request?
In cases when QuantileDiscretizerSuite is called upon a numeric array with
duplicated elements, we will take the unique elements generated from
approxQuantiles as input for Bucketizer.
## How was this patch tested?
An unit test is added in QuantileDiscretizerSuite
QuantileDiscretizer.fit will throw an illegal exception when calling
setSplits on a list of splits
with duplicated elements. Bucketizer.setSplits should only accept either a
numeric vector of two
or more unique cut points, although that may produce less number of buckets
than requested.
Signed-off-by: VinceShieh <[email protected]>
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/VinceShieh/spark SPARK-17086
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14747.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14747
----
commit 4467bb6be25b7cbd5b29b011f09b43da12a643c3
Author: VinceShieh <[email protected]>
Date: 2016-08-20T02:06:22Z
Fix an issue in QuantileDiscretizer
QuantileDiscretizer.fit will throw an illegal exception when calling
setSplits on a list of splits
with duplicated elements. Bucketizer.setSplits should only accept either a
numeric vector of two
or more unique cut points, although that may produce less number of buckets
than requested.
Signed-off-by: VinceShieh <[email protected]>
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