Github user selvinsource commented on a diff in the pull request:
https://github.com/apache/spark/pull/3062#discussion_r19771068
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/export/pmml/KMeansPMMLModelExport.scala
---
@@ -0,0 +1,106 @@
+/*
+ * 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.export.pmml
+
+import org.apache.spark.mllib.clustering.KMeansModel
+import org.dmg.pmml.DataDictionary
+import org.dmg.pmml.FieldName
+import org.dmg.pmml.DataField
+import org.dmg.pmml.OpType
+import org.dmg.pmml.DataType
+import org.dmg.pmml.MiningSchema
+import org.dmg.pmml.MiningField
+import org.dmg.pmml.FieldUsageType
+import org.dmg.pmml.ComparisonMeasure
+import org.dmg.pmml.ComparisonMeasure.Kind
+import org.dmg.pmml.SquaredEuclidean
+import org.dmg.pmml.ClusteringModel
+import org.dmg.pmml.MiningFunctionType
+import org.dmg.pmml.ClusteringModel.ModelClass
+import org.dmg.pmml.ClusteringField
+import org.dmg.pmml.CompareFunctionType
+import org.dmg.pmml.Cluster
+import org.dmg.pmml.Array.Type
+
+/**
+ * PMML Model Export for KMeansModel class
+ */
+class KMeansPMMLModelExport(model : KMeansModel) extends PMMLModelExport{
+
+ /**
+ * Export the input KMeansModel model to PMML format
+ */
+ populateKMeansPMML(model);
+
+ private def populateKMeansPMML(model : KMeansModel): Unit = {
+
+ pmml.getHeader().setDescription("k-means clustering");
+
+ if(model.clusterCenters.length > 0){
+
+ val clusterCenter = model.clusterCenters(0)
+
+ var fields = new Array[FieldName](clusterCenter.size)
+
+ var dataDictionary = new DataDictionary()
+
+ var miningSchema = new MiningSchema()
+
+ var comparisonMeasure = new ComparisonMeasure()
+ .withKind(Kind.DISTANCE)
+ .withMeasure(new SquaredEuclidean()
+ );
+
+ var clusteringModel = new ClusteringModel(miningSchema,
comparisonMeasure,
+ MiningFunctionType.CLUSTERING, ModelClass.CENTER_BASED,
model.clusterCenters.length)
+ .withModelName("k-means");
+
+ for ( i <- 0 to (clusterCenter.size - 1)) {
+ fields(i) = FieldName.create("field_" + i)
--- End diff --
Yeah, when trying to populate the data dictionary I realized the model
didn't have the notion of the schema. At first I was thinking that the list of
field names could be provided when exporting to PMML but really this should be
in the model itself.
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