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## What changes were proposed in this pull request? This issue fixes all broken links on Spark 2.0 preview MLLib documents. Also, this contains some editorial change. **Fix broken links** * mllib-data-types.md * mllib-decision-tree.md * mllib-ensembles.md * mllib-feature-extraction.md * mllib-pmml-model-export.md * mllib-statistics.md **Fix malformed section header and scala coding style** * mllib-linear-methods.md **Replace indirect forward links with direct one** * ml-classification-regression.md ## How was this patch tested? Manual tests (with `cd docs; jekyll build`.) Author: Dongjoon Hyun <dongjoon@apache.org> Closes #13608 from dongjoon-hyun/SPARK-15883.
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| layout | title | displayTitle |
|---|---|---|
| global | PMML model export - spark.mllib | PMML model export - spark.mllib |
- Table of contents {:toc}
spark.mllib supported models
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.
| `spark.mllib` model | PMML model |
|---|---|
| KMeansModel | ClusteringModel |
| LinearRegressionModel | RegressionModel (functionName="regression") |
| RidgeRegressionModel | RegressionModel (functionName="regression") |
| LassoModel | RegressionModel (functionName="regression") |
| SVMModel | RegressionModel (functionName="classification" normalizationMethod="none") |
| Binary LogisticRegressionModel | RegressionModel (functionName="classification" normalizationMethod="logit") |
Examples
To export a supported `model` (see table above) to PMML, simply call `model.toPMML`.
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.