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author | Gayathri Murali <gayathri.m.softie@gmail.com> | 2016-09-22 16:34:42 -0700 |
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committer | Joseph K. Bradley <joseph@databricks.com> | 2016-09-22 16:34:42 -0700 |
commit | f4f6bd8c9884e3919509907307fda774f56b5ecc (patch) | |
tree | abb388081543709adff02e6d5c3a9004d18beaf2 /sql/core | |
parent | 0d634875026ccf1eaf984996e9460d7673561f80 (diff) | |
download | spark-f4f6bd8c9884e3919509907307fda774f56b5ecc.tar.gz spark-f4f6bd8c9884e3919509907307fda774f56b5ecc.tar.bz2 spark-f4f6bd8c9884e3919509907307fda774f56b5ecc.zip |
[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.
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #15034 from jkbradley/lda-backwards.
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