GitHub user ajaysaini725 opened a pull request:
https://github.com/apache/spark/pull/18888
[Spark-17025][ML][Python] Persistence for Custom Python-only Pipelines
## What changes were proposed in this pull request?
Implemented a Python-only persistence framework for pipelines containing
stages that cannot be saved using Java.
## How was this patch tested?
Created a custom Python-only UnaryTransformer, included it in a Pipeline,
and saved/loaded the pipeline. The loaded pipeline was compared against the
original using _compare_pipelines() in tests.py.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ajaysaini725/spark PythonPipelines
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18888.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 #18888
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commit 840a19324f54a1077d59a7cd6f8e911f57505370
Author: Ajay Saini <ajays...@gmail.com>
Date: 2017-08-08T23:24:23Z
Pipeline persistence commit with tests.
commit 85a98d6fa45e7f6bb32af9b949913e70b32f8ca9
Author: Ajay Saini <ajays...@gmail.com>
Date: 2017-08-08T23:30:33Z
Fixed import
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