Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/16607#discussion_r96524580
--- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/Word2Vec.scala
---
@@ -320,14 +341,29 @@ object Word2VecModel extends
MLReadable[Word2VecModel] {
private val className = classOf[Word2VecModel].getName
override def load(path: String): Word2VecModel = {
+ val spark = sparkSession
+ import spark.implicits._
+
val metadata = DefaultParamsReader.loadMetadata(path, sc, className)
+
val dataPath = new Path(path, "data").toString
- val data = sparkSession.read.parquet(dataPath)
- .select("wordIndex", "wordVectors")
- .head()
- val wordIndex = data.getAs[Map[String, Int]](0)
- val wordVectors = data.getAs[Seq[Float]](1).toArray
- val oldModel = new feature.Word2VecModel(wordIndex, wordVectors)
+ val rawData = spark.read.parquet(dataPath)
+
+ val oldModel = if (rawData.columns.contains("wordIndex")) {
--- End diff --
@Krimit You're right that the versioned SaveLoad code was in spark.mllib
only. There isn't a standard to follow yet for spark.ml. I believe that
relying on the Spark version is currently the best option.
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