zhengruifeng commented on a change in pull request #27519: [SPARK-30770][ML]
avoid vector conversion in GMM.transform
URL: https://github.com/apache/spark/pull/27519#discussion_r386237201
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File path: python/pyspark/ml/clustering.py
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@@ -252,7 +252,7 @@ class GaussianMixture(JavaEstimator,
_GaussianMixtureParams, JavaMLWritable, Jav
>>> model.predict(df.head().features)
2
>>> model.predictProbability(df.head().features)
- DenseVector([0.0, 0.4736, 0.5264])
+ DenseVector([0.0, 0.0, 1.0])
Review comment:
I had checked it in master, and when maxIter is set to 30, then the model
also output `DenseVector([0.0, 0.0, 1.0])`
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