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[SPARK-16558][Examples][MLlib] examples/mllib/LDAExample should use MLVector instead of MLlib Vector #14212

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[SPARK-16558][Examples][MLlib] examples/mllib/LDAExample should use MLVector instead of MLlib Vector #14212

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596aba6
fix vector
yinxusen Jul 14, 2016
de5eeab
use API instead of implicits
yinxusen Jul 21, 2016
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5 changes: 3 additions & 2 deletions examples/src/main/scala/org/apache/spark/examples/mllib/LDAExample.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -24,8 +24,9 @@ import scopt.OptionParser
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.feature.{CountVectorizer, CountVectorizerModel, RegexTokenizer, StopWordsRemover}
import org.apache.spark.ml.linalg.{Vector => MLVector}
import org.apache.spark.mllib.clustering.{DistributedLDAModel, EMLDAOptimizer, LDA, OnlineLDAOptimizer}
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.mllib.linalg.{Vector, Vectors}
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{Row, SparkSession}

Expand Down Expand Up @@ -225,7 +226,7 @@ object LDAExample {
val documents = model.transform(df)
.select("features")
.rdd
.map { case Row(features: Vector) => features }
.map { case Row(features: MLVector) => Vectors.fromML(features) }
.zipWithIndex()
.map(_.swap)

Expand Down