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authorDavies Liu <davies@databricks.com>2015-12-16 15:48:11 -0800
committerDavies Liu <davies.liu@gmail.com>2015-12-16 15:48:11 -0800
commit27b98e99d21a0cc34955337f82a71a18f9220ab2 (patch)
tree4eb3a116264543d9fc0e1121bc93ccaa5b3113f7 /python/pyspark/mllib/feature.py
parent3a44aebd0c5331f6ff00734fa44ef63f8d18cfbb (diff)
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[SPARK-12380] [PYSPARK] use SQLContext.getOrCreate in mllib
MLlib should use SQLContext.getOrCreate() instead of creating new SQLContext. Author: Davies Liu <davies@databricks.com> Closes #10338 from davies/create_context.
Diffstat (limited to 'python/pyspark/mllib/feature.py')
-rw-r--r--python/pyspark/mllib/feature.py4
1 files changed, 1 insertions, 3 deletions
diff --git a/python/pyspark/mllib/feature.py b/python/pyspark/mllib/feature.py
index 7254679ebb..acd7ec57d6 100644
--- a/python/pyspark/mllib/feature.py
+++ b/python/pyspark/mllib/feature.py
@@ -30,7 +30,7 @@ if sys.version >= '3':
from py4j.protocol import Py4JJavaError
-from pyspark import SparkContext, since
+from pyspark import since
from pyspark.rdd import RDD, ignore_unicode_prefix
from pyspark.mllib.common import callMLlibFunc, JavaModelWrapper
from pyspark.mllib.linalg import (
@@ -100,8 +100,6 @@ class Normalizer(VectorTransformer):
:return: normalized vector. If the norm of the input is zero, it
will return the input vector.
"""
- sc = SparkContext._active_spark_context
- assert sc is not None, "SparkContext should be initialized first"
if isinstance(vector, RDD):
vector = vector.map(_convert_to_vector)
else: