Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/12023#discussion_r57674670 --- Diff: mllib/src/main/scala/org/apache/spark/ml/tree/treeModels.scala --- @@ -238,3 +238,128 @@ private[ml] object DecisionTreeModelReadWrite { finalNodes.head } } + +private[ml] object RandomForestModelReadWrite { + + /** + * Info for a [[org.apache.spark.ml.tree.Split]] + * + * @param featureIndex Index of feature split on + * @param leftCategoriesOrThreshold For categorical feature, set of leftCategories. + * For continuous feature, threshold. + * @param numCategories For categorical feature, number of categories. + * For continuous feature, -1. + */ + case class SplitData( + featureIndex: Int, + leftCategoriesOrThreshold: Array[Double], + numCategories: Int) { + + def getSplit: Split = { + if (numCategories != -1) { + new CategoricalSplit(featureIndex, leftCategoriesOrThreshold, numCategories) + } else { + assert(leftCategoriesOrThreshold.length == 1, s"DecisionTree split data expected" + + s" 1 threshold for ContinuousSplit, but found thresholds: " + + leftCategoriesOrThreshold.mkString(", ")) + new ContinuousSplit(featureIndex, leftCategoriesOrThreshold(0)) + } + } + } + + object SplitData { + def apply(split: Split): SplitData = split match { + case s: CategoricalSplit => + SplitData(s.featureIndex, s.leftCategories, s.numCategories) + case s: ContinuousSplit => + SplitData(s.featureIndex, Array(s.threshold), -1) + } + } + + /** + * Info for a [[Node]] + * + * @param treeID Index used for tree identification in RandomForest + * @param id Index used for tree reconstruction. Indices follow a pre-order traversal. + * @param impurityStats Stats array. Impurity type is stored in metadata. + * @param gain Gain, or arbitrary value if leaf node. + * @param leftChild Left child index, or arbitrary value if leaf node. + * @param rightChild Right child index, or arbitrary value if leaf node. + * @param split Split info, or arbitrary value if leaf node. + */ + case class NodeData( --- End diff -- Ditto for NodeData. You can create a new class for ensembles if needed: ``` case class EnsembleNodeData(treeID: Int, node: NodeData) ```
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