zhengruifeng commented on a change in pull request #26439: [SPARK-29801][ML] ML
models unify toString method
URL: https://github.com/apache/spark/pull/26439#discussion_r344429040
##########
File path: mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala
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@@ -215,6 +215,13 @@ final class Bucketizer @Since("1.4.0") (@Since("1.4.0")
override val uid: String
override def copy(extra: ParamMap): Bucketizer = {
defaultCopy[Bucketizer](extra).setParent(parent)
}
+
+ @Since("3.0.0")
+ override def toString: String = {
+ s"Bucketizer: uid=$uid" +
+ get(inputCols).map(c => s", numInputCols=${c.length}").getOrElse("") +
+ get(outputCols).map(c => s", numOutputCols=${c.length}").getOrElse("")
+ }
}
Review comment:
I test this in REPL:
```
scala> val binarizer: Binarizer = new Binarizer()
binarizer: org.apache.spark.ml.feature.Binarizer = Binarizer:
uid=binarizer_3eab2c2d88f6
scala> binarizer.setInputCols(Array("a", "b"))
res3: binarizer.type = Binarizer: uid=binarizer_3eab2c2d88f6, numInputCols=2
scala> binarizer.setOutputCols(Array("c", "d"))
res4: binarizer.type = Binarizer: uid=binarizer_3eab2c2d88f6,
numInputCols=2, numOutputCols=2
```
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