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-rw-r--r--python/pyspark/ml/clustering.py10
1 files changed, 5 insertions, 5 deletions
diff --git a/python/pyspark/ml/clustering.py b/python/pyspark/ml/clustering.py
index 4dab83362a..7632f05c3b 100644
--- a/python/pyspark/ml/clustering.py
+++ b/python/pyspark/ml/clustering.py
@@ -254,14 +254,14 @@ class KMeans(JavaEstimator, HasFeaturesCol, HasPredictionCol, HasMaxIter, HasTol
@keyword_only
def __init__(self, featuresCol="features", predictionCol="prediction", k=2,
- initMode="k-means||", initSteps=5, tol=1e-4, maxIter=20, seed=None):
+ initMode="k-means||", initSteps=2, tol=1e-4, maxIter=20, seed=None):
"""
__init__(self, featuresCol="features", predictionCol="prediction", k=2, \
- initMode="k-means||", initSteps=5, tol=1e-4, maxIter=20, seed=None)
+ initMode="k-means||", initSteps=2, tol=1e-4, maxIter=20, seed=None)
"""
super(KMeans, self).__init__()
self._java_obj = self._new_java_obj("org.apache.spark.ml.clustering.KMeans", self.uid)
- self._setDefault(k=2, initMode="k-means||", initSteps=5, tol=1e-4, maxIter=20)
+ self._setDefault(k=2, initMode="k-means||", initSteps=2, tol=1e-4, maxIter=20)
kwargs = self.__init__._input_kwargs
self.setParams(**kwargs)
@@ -271,10 +271,10 @@ class KMeans(JavaEstimator, HasFeaturesCol, HasPredictionCol, HasMaxIter, HasTol
@keyword_only
@since("1.5.0")
def setParams(self, featuresCol="features", predictionCol="prediction", k=2,
- initMode="k-means||", initSteps=5, tol=1e-4, maxIter=20, seed=None):
+ initMode="k-means||", initSteps=2, tol=1e-4, maxIter=20, seed=None):
"""
setParams(self, featuresCol="features", predictionCol="prediction", k=2, \
- initMode="k-means||", initSteps=5, tol=1e-4, maxIter=20, seed=None)
+ initMode="k-means||", initSteps=2, tol=1e-4, maxIter=20, seed=None)
Sets params for KMeans.
"""