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-rw-r--r--python/pyspark/ml/feature.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py
index c8115cb5bc..5511dceb70 100644
--- a/python/pyspark/ml/feature.py
+++ b/python/pyspark/ml/feature.py
@@ -876,10 +876,10 @@ class Word2Vec(JavaEstimator, HasStepSize, HasMaxIter, HasSeed, HasInputCol, Has
@keyword_only
def __init__(self, vectorSize=100, minCount=5, numPartitions=1, stepSize=0.025, maxIter=1,
- seed=42, inputCol=None, outputCol=None):
+ seed=None, inputCol=None, outputCol=None):
"""
__init__(self, vectorSize=100, minCount=5, numPartitions=1, stepSize=0.025, maxIter=1, \
- seed=42, inputCol=None, outputCol=None)
+ seed=None, inputCol=None, outputCol=None)
"""
super(Word2Vec, self).__init__()
self._java_obj = self._new_java_obj("org.apache.spark.ml.feature.Word2Vec", self.uid)
@@ -891,15 +891,15 @@ class Word2Vec(JavaEstimator, HasStepSize, HasMaxIter, HasSeed, HasInputCol, Has
"the minimum number of times a token must appear to be included " +
"in the word2vec model's vocabulary")
self._setDefault(vectorSize=100, minCount=5, numPartitions=1, stepSize=0.025, maxIter=1,
- seed=42)
+ seed=None)
kwargs = self.__init__._input_kwargs
self.setParams(**kwargs)
@keyword_only
def setParams(self, vectorSize=100, minCount=5, numPartitions=1, stepSize=0.025, maxIter=1,
- seed=42, inputCol=None, outputCol=None):
+ seed=None, inputCol=None, outputCol=None):
"""
- setParams(self, minCount=5, numPartitions=1, stepSize=0.025, maxIter=1, seed=42, \
+ setParams(self, minCount=5, numPartitions=1, stepSize=0.025, maxIter=1, seed=None, \
inputCol=None, outputCol=None)
Sets params for this Word2Vec.
"""