diff options
3 files changed, 8 insertions, 8 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala b/mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala index eb4d42f255..d1f3b2af1e 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/feature/Bucketizer.scala @@ -78,9 +78,9 @@ final class Bucketizer @Since("1.4.0") (@Since("1.4.0") override val uid: String def setOutputCol(value: String): this.type = set(outputCol, value) /** - * Param for how to handle invalid entries. Options are skip (filter out rows with - * invalid values), error (throw an error), or keep (keep invalid values in a special additional - * bucket). + * Param for how to handle invalid entries. Options are 'skip' (filter out rows with + * invalid values), 'error' (throw an error), or 'keep' (keep invalid values in a special + * additional bucket). * Default: "error" * @group param */ diff --git a/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala b/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala index b4fcfa2da4..80c7f55e26 100644 --- a/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala +++ b/mllib/src/main/scala/org/apache/spark/ml/feature/QuantileDiscretizer.scala @@ -66,9 +66,9 @@ private[feature] trait QuantileDiscretizerBase extends Params def getRelativeError: Double = getOrDefault(relativeError) /** - * Param for how to handle invalid entries. Options are skip (filter out rows with - * invalid values), error (throw an error), or keep (keep invalid values in a special additional - * bucket). + * Param for how to handle invalid entries. Options are 'skip' (filter out rows with + * invalid values), 'error' (throw an error), or 'keep' (keep invalid values in a special + * additional bucket). * Default: "error" * @group param */ diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py index 1d62b32534..62c31431b5 100755 --- a/python/pyspark/ml/feature.py +++ b/python/pyspark/ml/feature.py @@ -165,8 +165,8 @@ class Bucketizer(JavaTransformer, HasInputCol, HasOutputCol, JavaMLReadable, Jav typeConverter=TypeConverters.toListFloat) handleInvalid = Param(Params._dummy(), "handleInvalid", "how to handle invalid entries. " + - "Options are skip (filter out rows with invalid values), " + - "error (throw an error), or keep (keep invalid values in a special " + + "Options are 'skip' (filter out rows with invalid values), " + + "'error' (throw an error), or 'keep' (keep invalid values in a special " + "additional bucket).", typeConverter=TypeConverters.toString) |