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Misleading exception information: no such param of "allow_non_zero_missing" (#6418)

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zhang_jf 2020-11-20 19:33:34 +08:00 committed by GitHub
parent 00218d065a
commit cc581b3b6b
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2 changed files with 2 additions and 2 deletions
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2
jvm-packages/xgboost4j-spark/src/main/scala/ml/dmlc/xgboost4j/scala/spark/XGBoost.scala
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@ -282,7 +282,7 @@ object XGBoost extends Serializable {
s" set value $missing) when you have SparseVector or Empty vector as your feature" +
s" format. If you didn't use Spark's VectorAssembler class to build your feature " +
s"vector but instead did so in a way that preserves zeros in your feature vector " +
s"you can avoid this check by using the 'allow_non_zero_missing parameter'" +
s"you can avoid this check by using the 'allow_non_zero_for_missing parameter'" +
s" (only use if you know what you are doing)")
}
labeledPoint

2
jvm-packages/xgboost4j-spark/src/test/scala/ml/dmlc/xgboost4j/scala/spark/MissingValueHandlingSuite.scala
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@ -145,7 +145,7 @@ class MissingValueHandlingSuite extends FunSuite with PerTest {
}
}
test("specify a non-zero missing value but set allow_non_zero_missing " +
test("specify a non-zero missing value but set allow_non_zero_for_missing " +
"does not stop application") {
val spark = ss
import spark.implicits._