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Diffstat (limited to 'python/pyspark/ml/clustering.py')
| -rw-r--r-- | python/pyspark/ml/clustering.py | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/python/pyspark/ml/clustering.py b/python/pyspark/ml/clustering.py index 4ce8012754..9740ec45af 100644 --- a/python/pyspark/ml/clustering.py +++ b/python/pyspark/ml/clustering.py @@ -194,9 +194,8 @@ class KMeansModel(JavaModel, JavaMLWritable, JavaMLReadable): class KMeans(JavaEstimator, HasFeaturesCol, HasPredictionCol, HasMaxIter, HasTol, HasSeed, JavaMLWritable, JavaMLReadable): """ - K-means clustering with support for multiple parallel runs and a k-means++ like initialization - mode (the k-means|| algorithm by Bahmani et al). When multiple concurrent runs are requested, - they are executed together with joint passes over the data for efficiency. + K-means clustering with a k-means++ like initialization mode + (the k-means|| algorithm by Bahmani et al). >>> from pyspark.mllib.linalg import Vectors >>> data = [(Vectors.dense([0.0, 0.0]),), (Vectors.dense([1.0, 1.0]),), |