srowen commented on a change in pull request #26547: [SPARK-29914][ML] ML
models attach metadata in `transform`/`transformSchema`
URL: https://github.com/apache/spark/pull/26547#discussion_r355228316
##########
File path: mllib/src/test/scala/org/apache/spark/ml/util/MLTest.scala
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@@ -64,6 +65,38 @@ trait MLTest extends StreamTest with TempDirectory { self:
Suite =>
}
}
+ private[ml] def checkVectorSizeOnDF(
+ dataframe: DataFrame,
+ vecColName: String,
+ vecSize: Int): Unit = {
+ import dataframe.sparkSession.implicits._
+ val group = AttributeGroup.fromStructField(dataframe.schema(vecColName))
+ assert(group.size === vecSize,
+ s"the vector size obtained from schema should be $vecSize, but got
${group.size}")
+ val sizeUDF = udf { vector: Vector => vector.size }
+ assert(dataframe.select(sizeUDF(col(vecColName)))
+ .as[Int]
+ .collect()
+ .forall(_ === vecSize))
+ }
+
+ private[ml] def checkNominalOnDF(
+ dataframe: DataFrame,
+ colName: String,
+ numValues: Int): Unit = {
+ import dataframe.sparkSession.implicits._
+ val n = Attribute.fromStructField(dataframe.schema(colName)) match {
Review comment:
I think that's all the cases that need to be covered. The warning could be
avoided by adding a case that throws an exception. That kind of cleanup is fine
across the code. It won't matter too much here as it'll already generate an
exception (correctly)
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