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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 /dev/sparktestsupport | |
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.
Diffstat (limited to 'dev/sparktestsupport')
-rw-r--r-- | dev/sparktestsupport/modules.py | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/dev/sparktestsupport/modules.py b/dev/sparktestsupport/modules.py index d7eb44d7a5..0d6aa7422a 100644 --- a/dev/sparktestsupport/modules.py +++ b/dev/sparktestsupport/modules.py @@ -413,6 +413,7 @@ pyspark_ml = Module( "pyspark.ml.feature", "pyspark.ml.classification", "pyspark.ml.clustering", + "pyspark.ml.linalg.__init__", "pyspark.ml.recommendation", "pyspark.ml.regression", "pyspark.ml.tuning", |