Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12230#discussion_r58926192
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/GBTClassifier.scala ---
@@ -257,12 +240,61 @@ final class GBTClassificationModel private[ml](
private[ml] def toOld: OldGBTModel = {
new OldGBTModel(OldAlgo.Classification, _trees.map(_.toOld),
_treeWeights)
}
+
+ @Since("2.0.0")
+ override def write: MLWriter = new
GBTClassificationModel.GBTClassificationModelWriter(this)
}
-private[ml] object GBTClassificationModel {
+@Since("2.0.0")
+object GBTClassificationModel extends MLReadable[GBTClassificationModel] {
+
+ @Since("2.0.0")
+ override def read: MLReader[GBTClassificationModel] = new
GBTClassificationModelReader
+
+ @Since("2.0.0")
+ override def load(path: String): GBTClassificationModel =
super.load(path)
+
+ private[GBTClassificationModel]
+ class GBTClassificationModelWriter(instance: GBTClassificationModel)
extends MLWriter {
+
+ override protected def saveImpl(path: String): Unit = {
+ val extraMetadata: JObject = Map(
+ "numFeatures" -> instance.numFeatures,
+ "numTrees" -> instance.getNumTrees)
+ EnsembleModelReadWrite.saveImpl(instance, path, sqlContext,
extraMetadata)
+ }
+ }
+
+ private class GBTClassificationModelReader extends
MLReader[GBTClassificationModel] {
+
+ /** Checked against metadata when loading model */
+ private val className = classOf[GBTClassificationModel].getName
+ private val treeClassName =
classOf[DecisionTreeRegressionModel].getName
+
+ override def load(path: String): GBTClassificationModel = {
+ implicit val format = DefaultFormats
+ val (metadata: Metadata, treesData: Array[(Metadata, Node)],
treeWeights: Array[Double]) =
+ EnsembleModelReadWrite.loadImpl(path, sqlContext, className,
treeClassName)
+ val numFeatures = (metadata.metadata \ "numFeatures").extract[Int]
+ val numTrees = (metadata.metadata \ "numTrees").extract[Int]
+
+ val trees: Array[DecisionTreeRegressionModel] = treesData.map {
--- End diff --
I guess there is a slight m ix up here. This is the GBTClassifier. I see
you have used DecisionTreeRegressionModel. Am I missing something?
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