layout: global title: PMML model export - RDD-based API displayTitle: PMML model export - RDD-based API license: | 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
spark.mllib
supports model export to Predictive Model Markup Language (PMML).
The table below outlines the spark.mllib
models that can be exported to PMML and their equivalent PMML model.
As well as exporting the PMML model to a String (model.toPMML
as in the example above), you can export the PMML model to other formats.
Refer to the KMeans
Scala docs and Vectors
Scala docs for details on the API.
Here a complete example of building a KMeansModel and print it out in PMML format: {% include_example scala/org/apache/spark/examples/mllib/PMMLModelExportExample.scala %}
For unsupported models, either you will not find a .toPMML
method or an IllegalArgumentException
will be thrown.