GitHub user evanyc15 opened a pull request:
https://github.com/apache/spark/pull/14653
[SPARK-10931][PYSPARK][ML] PySpark ML Models should contain Param values
## What changes were proposed in this pull request?
Changed PySpark models to include the Param values.
Refer to the closed PR 10270 for additional information.
## How was this patch tested?
Tested using Python doctests
## Changesets:
Estimator UID is being copied correctly to the Transformer model objects
and params now, working on Doctests
Changed the way parameters are copied from the Estimator to Transformer
Checkpoint, switching back to inheritance method
Working on DocTests
Implemented Doctests for Recommendation, Clustering, Classification (except
RandomForestClassifier), Evaluation, Tuning, Regression (except
RandomRegression)
Ready for Code Review
Code Review changeset #1
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/evanyc15/spark SPARK-10931-pyspark-mllib
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14653.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 #14653
----
commit 2f9417ca3419afb421f4e86d082325fb5b10bbbf
Author: Evan Chen <[email protected]>
Date: 2015-11-19T03:54:57Z
Copied parameters over from Estimator to Transformer
Estimator UID is being copied correctly to the Transformer model objects
and params now, working on Doctests
Changed the way parameters are copied from the Estimator to Transformer
Checkpoint, switching back to inheritance method
Working on DocTests
Implemented Doctests for Recommendation, Clustering, Classification (except
RandomForestClassifier), Evaluation, Tuning, Regression (except
RandomRegression)
Ready for Code Review
Code Review changeset #1
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