GitHub user jkbradley opened a pull request:
https://github.com/apache/spark/pull/15034
[SPARK-16240][ML] ML persistence backward compatibility for LDA
## What changes were proposed in this pull request?
Allow Spark 2.x to load instances of LDA, LocalLDAModel, and
DistributedLDAModel saved from Spark 1.6.
## How was this patch tested?
I tested this manually, saving the 3 types from 1.6 and loading them into
master (2.x). In the future, we can add generic tests for testing backwards
compatibility across all ML models in SPARK-15573.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jkbradley/spark lda-backwards
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15034.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 #15034
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commit 97d569791dbe4aba59c8c9a54a932a1767ddb635
Author: Joseph K. Bradley <[email protected]>
Date: 2016-09-09T17:51:51Z
took changes from GayathriMurali branch
commit a931b25ae91bbfa67adf4b5209d0603d0a73b4cc
Author: Joseph K. Bradley <[email protected]>
Date: 2016-09-09T17:58:42Z
minor cleanups
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