fixing stylecheck errors (lines >100 chars)

Author: Martin Brown

mllib/src/main/scala/org/apache/spark/ml/feature/HashingTF.scala

@@ -34,7 +34,8 @@ import org.apache.spark.sql.types.{ArrayType, StructType}
  */
 @Since("1.2.0")
 @Experimental
-class HashingTF @Since("1.2.0") (@Since("1.4.0") override val uid: String) extends Transformer with HasInputCol with HasOutputCol {
+class HashingTF @Since("1.2.0") (@Since("1.4.0") override val uid: String) extends Transformer
+  with HasInputCol with HasOutputCol {
 
   @Since("1.4.0")
   def this() = this(Identifiable.randomUID("hashingTF"))

mllib/src/main/scala/org/apache/spark/ml/feature/IDF.scala

@@ -61,7 +61,8 @@ private[feature] trait IDFBase extends Params with HasInputCol with HasOutputCol
  */
 @Since("1.4.0")
 @Experimental
-final class IDF @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends Estimator[IDFModel] with IDFBase {
+final class IDF @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends
+  Estimator[IDFModel] with IDFBase {
 
   @Since("1.4.0")
   def this() = this(Identifiable.randomUID("idf"))

mllib/src/main/scala/org/apache/spark/ml/feature/Normalizer.scala

@@ -31,7 +31,8 @@ import org.apache.spark.sql.types.DataType
  */
 @Since("1.4.0")
 @Experimental
-class Normalizer @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends UnaryTransformer[Vector, Vector, Normalizer] {
+class Normalizer @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends
+  UnaryTransformer[Vector, Vector, Normalizer] {
 
   @Since("1.4.0")
   def this() = this(Identifiable.randomUID("normalizer"))

mllib/src/main/scala/org/apache/spark/ml/feature/PCA.scala

@@ -50,7 +50,8 @@ private[feature] trait PCAParams extends Params with HasInputCol with HasOutputC
  */
 @Since("1.5.0")
 @Experimental
-class PCA @Since("1.5.0") (@Since("1.5.0") override val uid: String) extends Estimator[PCAModel] with PCAParams {
+class PCA @Since("1.5.0") (@Since("1.5.0") override val uid: String) extends Estimator[PCAModel]
+  with PCAParams {
 
   @Since("1.5.0")
   def this() = this(Identifiable.randomUID("pca"))

mllib/src/main/scala/org/apache/spark/ml/feature/RFormula.scala

@@ -48,7 +48,8 @@ private[feature] trait RFormulaBase extends HasFeaturesCol with HasLabelCol {
  */
 @Since("1.5.0")
 @Experimental
-class RFormula @Since("1.5.0") (@Since("1.5.0") override val uid: String) extends Estimator[RFormulaModel] with RFormulaBase {
+class RFormula @Since("1.5.0") (@Since("1.5.0") override val uid: String) extends
+  Estimator[RFormulaModel] with RFormulaBase {
 
   @Since("1.5.0")
   def this() = this(Identifiable.randomUID("rFormula"))

mllib/src/main/scala/org/apache/spark/ml/feature/StandardScaler.scala

@@ -57,7 +57,8 @@ private[feature] trait StandardScalerParams extends Params with HasInputCol with
  */
 @Since("1.2.0")
 @Experimental
-class StandardScaler @Since("1.2.0") (@Since("1.4.0") override val uid: String) extends Estimator[StandardScalerModel]
+class StandardScaler @Since("1.2.0") (@Since("1.4.0") override val uid: String) extends
+  Estimator[StandardScalerModel]
   with StandardScalerParams {
 
   @Since("1.4.0")

mllib/src/main/scala/org/apache/spark/ml/feature/StringIndexer.scala

@@ -64,7 +64,8 @@ private[feature] trait StringIndexerBase extends Params with HasInputCol with Ha
  */
 @Since("1.4.0")
 @Experimental
-class StringIndexer @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends Estimator[StringIndexerModel]
+class StringIndexer @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends
+  Estimator[StringIndexerModel]
   with StringIndexerBase {
 
   @Since("1.4.0")

mllib/src/main/scala/org/apache/spark/ml/feature/Tokenizer.scala

@@ -31,7 +31,8 @@ import org.apache.spark.sql.types.{ArrayType, DataType, StringType}
  */
 @Since("1.2.0")
 @Experimental
-class Tokenizer @Since("1.2.0") (@Since("1.4.0") override val uid: String) extends UnaryTransformer[String, Seq[String], Tokenizer] {
+class Tokenizer @Since("1.2.0") (@Since("1.4.0") override val uid: String) extends
+  UnaryTransformer[String, Seq[String], Tokenizer] {
 
   @Since("1.4.0")
   def this() = this(Identifiable.randomUID("tok"))

mllib/src/main/scala/org/apache/spark/ml/feature/VectorIndexer.scala

@@ -93,7 +93,8 @@ private[ml] trait VectorIndexerParams extends Params with HasInputCol with HasOu
  */
 @Since("1.4.0")
 @Experimental
-class VectorIndexer @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends Estimator[VectorIndexerModel]
+class VectorIndexer @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends
+  Estimator[VectorIndexerModel]
   with VectorIndexerParams {
 
   @Since("1.4.0")

mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala

@@ -93,7 +93,8 @@ private[feature] trait Word2VecBase extends Params
  */
 @Since("1.4.0")
 @Experimental
-final class Word2Vec @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends Estimator[Word2VecModel] with Word2VecBase {
+final class Word2Vec @Since("1.4.0") (@Since("1.4.0") override val uid: String) extends
+  Estimator[Word2VecModel] with Word2VecBase {
 
   @Since("1.4.0")
   def this() = this(Identifiable.randomUID("w2v"))