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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/03/02 08:03:01 UTC
[GitHub] [spark] zhengruifeng commented on a change in pull request #27519:
[SPARK-30770][ML] avoid vector conversion in GMM.transform
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_r386239057
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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:
The result in `model.transform(df).show()` are not `DenseVector([0.0, 0.0, 1.0])`, it is about `[6.74824658670777...`;
but the `model.transform(df).head()` shows `DenseVector([0.0, 0.0, 1.0])`.
Is this a kind of rounding in `Vector.toString`?
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