Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/14112#discussion_r70335212
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala ---
@@ -574,18 +578,28 @@ object LocalLDAModel extends
MLReadable[LocalLDAModel] {
val metadata = DefaultParamsReader.loadMetadata(path, sc, className)
val dataPath = new Path(path, "data").toString
val data = sparkSession.read.parquet(dataPath)
- .select("vocabSize", "topicsMatrix", "docConcentration",
"topicConcentration",
- "gammaShape")
- .head()
- val vocabSize = data.getAs[Int](0)
- val topicsMatrix = data.getAs[Matrix](1)
- val docConcentration = data.getAs[Vector](2)
- val topicConcentration = data.getAs[Double](3)
- val gammaShape = data.getAs[Double](4)
+ val vectorConverted = MLUtils.convertVectorColumnsToML(data,
"docConcentration")
+ val Row(vocabSize: Int, topicsMatrix: Matrix, docConcentration:
Vector,
+ topicConcentration: Double, gammaShape: Double) =
MLUtils.convertMatrixColumnsToML(
+ vectorConverted, "topicsMatrix").select("vocabSize",
"topicsMatrix", "docConcentration",
+ "topicConcentration", "gammaShape").head()
val oldModel = new OldLocalLDAModel(topicsMatrix, docConcentration,
topicConcentration,
- gammaShape)
+ gammaShape)
val model = new LocalLDAModel(metadata.uid, vocabSize, oldModel,
sparkSession)
- DefaultParamsReader.getAndSetParams(model, metadata)
+ implicit val format = DefaultFormats
+ metadata.params match {
+ case JObject(pairs) =>
+ pairs.foreach { case (paramName, jsonValue) =>
+ val variable =
--- End diff --
rename for clarity: "variable" -> "origParam"
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