GitHub user yanboliang opened a pull request:
https://github.com/apache/spark/pull/15261
[SPARK-16356][Follow-up][ML] Enforce ML test of exception for
local/distributed Dataset.
## What changes were proposed in this pull request?
#14035 added ```testImplicits``` to ML unit tests and promoted
```toDF()```, but left one minor issue at ```VectorIndexerSuite```. If we
create the DataFrame by ```Seq(...).toDF()```, it will throw different
error/exception compared with ```sc.parallelize(Seq(...)).toDF()``` for one of
the test cases.
## How was this patch tested?
Unit test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yanboliang/spark spark-16356
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15261.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 #15261
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commit c24021e4a24413426ae01fbbbc39d1a21e7aaf88
Author: Yanbo Liang <[email protected]>
Date: 2016-09-27T11:07:18Z
Enforce ML test of exception for local/distributed Dataset.
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