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author | wm624@hotmail.com <wm624@hotmail.com> | 2016-05-19 23:21:17 -0700 |
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committer | Xiangrui Meng <meng@databricks.com> | 2016-05-19 23:21:17 -0700 |
commit | 4c7a6b385c79f4de07a89495afce4f8e73b06086 (patch) | |
tree | be203bbc460f68f03476f8bfd7aba57a0408d706 /bin | |
parent | 09a00510c4759ff87abb0b2fdf1630ddf36ca12c (diff) | |
download | spark-4c7a6b385c79f4de07a89495afce4f8e73b06086.tar.gz spark-4c7a6b385c79f4de07a89495afce4f8e73b06086.tar.bz2 spark-4c7a6b385c79f4de07a89495afce4f8e73b06086.zip |
[SPARK-15363][ML][EXAMPLE] Example code shouldn't use VectorImplicits._, asML/fromML
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
In this DataFrame example, we use VectorImplicits._, which is private API.
Since Vectors object has public API, we use Vectors.fromML instead of implicts.
## How was this patch tested?
(Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests)
Manually run the example.
Author: wm624@hotmail.com <wm624@hotmail.com>
Closes #13213 from wangmiao1981/ml.
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