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author | DB Tsai <dbt@netflix.com> | 2016-05-17 12:51:07 -0700 |
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committer | Xiangrui Meng <meng@databricks.com> | 2016-05-17 12:51:07 -0700 |
commit | e2efe0529acd748f26dbaa41331d1733ed256237 (patch) | |
tree | fe1a5aeeadfbf220b5dbe1429e0235153db8117b /python/pyspark/sql/tests.py | |
parent | 9f176dd3918129a72282a6b7a12e2899cbb6dac9 (diff) | |
download | spark-e2efe0529acd748f26dbaa41331d1733ed256237.tar.gz spark-e2efe0529acd748f26dbaa41331d1733ed256237.tar.bz2 spark-e2efe0529acd748f26dbaa41331d1733ed256237.zip |
[SPARK-14615][ML] Use the new ML Vector and Matrix in the ML pipeline based algorithms
## What changes were proposed in this pull request?
Once SPARK-14487 and SPARK-14549 are merged, we will migrate to use the new vector and matrix type in the new ml pipeline based apis.
## How was this patch tested?
Unit tests
Author: DB Tsai <dbt@netflix.com>
Author: Liang-Chi Hsieh <simonh@tw.ibm.com>
Author: Xiangrui Meng <meng@databricks.com>
Closes #12627 from dbtsai/SPARK-14615-NewML.
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