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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
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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 'python/pyspark/ml/param/__init__.py')
-rw-r--r--python/pyspark/ml/param/__init__.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/python/pyspark/ml/param/__init__.py b/python/pyspark/ml/param/__init__.py
index d9513ca5b2..ade4864e1d 100644
--- a/python/pyspark/ml/param/__init__.py
+++ b/python/pyspark/ml/param/__init__.py
@@ -29,8 +29,8 @@ import warnings
from py4j.java_gateway import JavaObject
from pyspark import since
+from pyspark.ml.linalg import DenseVector, Vector
from pyspark.ml.util import Identifiable
-from pyspark.mllib.linalg import DenseVector, Vector
__all__ = ['Param', 'Params', 'TypeConverters']