GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/13393
[SPARK-14615][ML][FOLLOWUP] Fix Python examples to use the new ML Vector
and Matrix APIs in the ML pipeline based algorithms
## What changes were proposed in this pull request?
This PR fixes Python examples to use the new ML Vector and Matrix APIs in
the ML pipeline based algorithms.
I firstly executed this shell command, `grep -r "from pyspark.mllib" .` and
then executed them all.
Some of tests in `ml` produced the error messages as below:
```
pyspark.sql.utils.IllegalArgumentException: u'requirement failed: Input
type must be VectorUDT but got
org.apache.spark.mllib.linalg.VectorUDT@f71b0bce.'
```
So, I fixed them to use new ones just identically with some Python tests
fixed in https://github.com/apache/spark/pull/12627
## How was this patch tested?
Manually tested for all the examples listed by `grep -r "from
pyspark.mllib" .`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-14615
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13393.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 #13393
----
commit 0ddb1f40c0be65dea3fa6372c40fed026eb0ff7c
Author: hyukjinkwon <[email protected]>
Date: 2016-05-29T10:22:21Z
Fix Python examples
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