Github user actuaryzhang commented on the issue:
https://github.com/apache/spark/pull/17840
@yinxusen @srowen @mengxr @jkbradley @VinceShieh @yanboliang
The example below shows failure of Bucketizer on integer data.
```
val splits = Array(-3.0, 0.0, 3.0)
val data: Array[Int] = Array(-2, -1, 0, 1, 2)
val expectedBuckets = Array(0.0, 0.0, 1.0, 1.0, 1.0)
val dataFrame = data.zip(expectedBuckets).toSeq.toDF("feature", "expected")
val bucketizer = new Bucketizer()
.setInputCol("feature")
.setOutputCol("result")
.setSplits(splits)
bucketizer.transform(dataFrame)
java.lang.IllegalArgumentException: requirement failed: Column feature must
be of type DoubleType but was actually IntegerType.
```
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