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-rw-r--r--python/pyspark/mllib/clustering.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/python/pyspark/mllib/clustering.py b/python/pyspark/mllib/clustering.py
index 12c5602271..5ee7997104 100644
--- a/python/pyspark/mllib/clustering.py
+++ b/python/pyspark/mllib/clustering.py
@@ -17,7 +17,7 @@
from pyspark import SparkContext
from pyspark.serializers import PickleSerializer, AutoBatchedSerializer
-from pyspark.mllib.linalg import SparseVector, _convert_to_vector
+from pyspark.mllib.linalg import SparseVector, _convert_to_vector, _to_java_object_rdd
__all__ = ['KMeansModel', 'KMeans']
@@ -85,7 +85,7 @@ class KMeans(object):
# cache serialized data to avoid objects over head in JVM
cached = rdd.map(_convert_to_vector)._reserialize(AutoBatchedSerializer(ser)).cache()
model = sc._jvm.PythonMLLibAPI().trainKMeansModel(
- cached._to_java_object_rdd(), k, maxIterations, runs, initializationMode)
+ _to_java_object_rdd(cached), k, maxIterations, runs, initializationMode)
bytes = sc._jvm.SerDe.dumps(model.clusterCenters())
centers = ser.loads(str(bytes))
return KMeansModel([c.toArray() for c in centers])