Github user yinxusen commented on a diff in the pull request:
https://github.com/apache/spark/pull/7842#discussion_r43212479
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/pmml/export/PMMLTreeModelUtils.scala
---
@@ -0,0 +1,282 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.mllib.pmml.export
+
+import scala.collection.mutable
+import scala.collection.JavaConverters._
+import scala.collection.mutable.MutableList
+
+import org.dmg.pmml.{Node => PMMLNode, Value => PMMLValue, _}
+
+import org.apache.spark.mllib.tree.configuration.{Algo, FeatureType}
+import org.apache.spark.mllib.tree.configuration.Algo._
+import org.apache.spark.mllib.tree.model.{DecisionTreeModel, Node}
+
+private[mllib] object PMMLTreeModelUtils {
+
+ val FieldNamePrefix = "field_"
+
+ def toPMMLTree(dtModel: DecisionTreeModel, modelName: String):
(TreeModel, List[DataField]) = {
+
+ val miningFunctionType = getPMMLMiningFunctionType(dtModel.algo)
+
+ val treeModel = new org.dmg.pmml.TreeModel()
+ .withModelName(modelName)
+ .withFunctionName(miningFunctionType)
+ .withSplitCharacteristic(TreeModel.SplitCharacteristic.BINARY_SPLIT)
+
+ var (rootNode, miningFields, dataFields, classes) =
buildStub(dtModel.topNode, dtModel.algo)
+
+ // adding predicted classes for classification and target field for
regression
+ // for completeness
+ dtModel.algo match {
+
+ case Algo.Classification => {
+ miningFields = miningFields :+ new MiningField()
+ .withName(FieldName.create("class"))
+ .withUsageType(FieldUsageType.PREDICTED)
+
+ val dataField = new DataField()
+ .withName(FieldName.create("class"))
+ .withOpType(OpType.CATEGORICAL)
+ .withValues(classes.asJava)
+ .withDataType(DataType.DOUBLE)
+
+ dataFields = dataFields :+ dataField
+ }
+ case Algo.Regression => {
+ val targetField = FieldName.create("target")
+ val dataField = new DataField(targetField, OpType.CONTINUOUS,
DataType.DOUBLE)
+ dataFields = dataFields :+ dataField
+
+ miningFields = miningFields :+ new MiningField()
+ .withName(targetField)
+ .withUsageType(FieldUsageType.TARGET)
+ }
+ }
+
+ val miningSchema = new MiningSchema()
+ .withMiningFields(miningFields.asJava)
+
+ treeModel.withNode(rootNode)
+ .withMiningSchema(miningSchema)
+
+ (treeModel, dataFields)
+
+ }
+
+ /** Build a pmml tree stub given the root mllib node. */
+ private def buildStub(
+ rootDTNode: Node,
--- End diff --
four spaces before function definition. The same for the following line.
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