Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1814#discussion_r15920590
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/feature/StandardScaler.scala ---
@@ -35,38 +35,47 @@ import org.apache.spark.rdd.RDD
* @param withStd True by default. Scales the data to unit standard
deviation.
*/
@Experimental
-class StandardScaler(withMean: Boolean, withStd: Boolean) extends
VectorTransformer {
+class StandardScaler(withMean: Boolean, withStd: Boolean) {
--- End diff --
The current API is more consistent with others like
`LinearRegressionWithSGD`. We can add them later after we figure out the right
way to specify parameters.
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