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authorDB Tsai <dbt@netflix.com>2016-05-17 12:51:07 -0700
committerXiangrui Meng <meng@databricks.com>2016-05-17 12:51:07 -0700
commite2efe0529acd748f26dbaa41331d1733ed256237 (patch)
treefe1a5aeeadfbf220b5dbe1429e0235153db8117b /dev
parent9f176dd3918129a72282a6b7a12e2899cbb6dac9 (diff)
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[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')
-rw-r--r--dev/sparktestsupport/modules.py1
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",