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[SPARK-23107][ML] ML 2.3 QA: New Scala APIs, docs. #20459

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[SPARK-23107][ML] ML 2.3 QA: New Scala APIs, docs. #20459

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2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/ml/feature/RFormula.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,7 @@ private[feature] trait RFormulaBase extends HasFeaturesCol with HasLabelCol with
* @group param
*/
@Since("2.3.0")
final override val handleInvalid: Param[String] = new Param[String](this, "handleInvalid",
override val handleInvalid: Param[String] = new Param[String](this, "handleInvalid",
"How to handle invalid data (unseen or NULL values) in features and label column of string " +
"type. Options are 'skip' (filter out rows with invalid data), error (throw an error), " +
"or 'keep' (put invalid data in a special additional bucket, at index numLabels).",
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2 changes: 1 addition & 1 deletion mllib/src/main/scala/org/apache/spark/ml/regression/LinearRegression.scala
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Expand Up @@ -645,7 +645,7 @@ class LinearRegressionModel private[ml] (
extends RegressionModel[Vector, LinearRegressionModel]
with LinearRegressionParams with MLWritable {

def this(uid: String, coefficients: Vector, intercept: Double) =
private[ml] def this(uid: String, coefficients: Vector, intercept: Double) =
this(uid, coefficients, intercept, 1.0)

private var trainingSummary: Option[LinearRegressionTrainingSummary] = None
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