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[SPARK-15363][ML][Example]:Example code shouldn't use VectorImplicits._, asML/fromML #13213

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[SPARK-15363][ML][Example]:Example code shouldn't use VectorImplicits._, asML/fromML #13213

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4 changes: 2 additions & 2 deletions examples/src/main/scala/org/apache/spark/examples/ml/DataFrameExample.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ import scopt.OptionParser

import org.apache.spark.examples.mllib.AbstractParams
import org.apache.spark.ml.linalg.Vector
import org.apache.spark.mllib.linalg.VectorImplicits._
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.stat.MultivariateOnlineSummarizer
import org.apache.spark.sql.{DataFrame, Row, SparkSession}

Expand Down Expand Up @@ -81,7 +81,7 @@ object DataFrameExample {
// Convert features column to an RDD of vectors.
val features = df.select("features").rdd.map { case Row(v: Vector) => v }
val featureSummary = features.aggregate(new MultivariateOnlineSummarizer())(
(summary, feat) => summary.add(feat),
(summary, feat) => summary.add(Vectors.fromML(feat)),
(sum1, sum2) => sum1.merge(sum2))
println(s"Selected features column with average values:\n ${featureSummary.mean.toString}")

Expand Down