01cc852982
### What changes were proposed in this pull request? Change the link to the Scala API document. ``` $ git grep "#org.apache.spark.package" docs/_layouts/global.html: <li><a href="api/scala/index.html#org.apache.spark.package">Scala</a></li> docs/index.md:* [Spark Scala API (Scaladoc)](api/scala/index.html#org.apache.spark.package) docs/rdd-programming-guide.md:[Scala](api/scala/#org.apache.spark.package), [Java](api/java/), [Python](api/python/) and [R](api/R/). ``` ### Why are the changes needed? The home page link for Scala API document is incorrect after upgrade to 3.0 ### Does this PR introduce any user-facing change? Document UI change only. ### How was this patch tested? Local test, attach screenshots below: Before:  After:  Closes #27549 from xuanyuanking/scala-doc. Authored-by: Yuanjian Li <xyliyuanjian@gmail.com> Signed-off-by: Sean Owen <srowen@gmail.com>
75 lines
2.8 KiB
Markdown
75 lines
2.8 KiB
Markdown
---
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layout: global
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title: PMML model export - RDD-based API
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displayTitle: PMML model export - RDD-based API
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license: |
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Licensed to the Apache Software Foundation (ASF) under one or more
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contributor license agreements. See the NOTICE file distributed with
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this work for additional information regarding copyright ownership.
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The ASF licenses this file to You under the Apache License, Version 2.0
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(the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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---
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* Table of contents
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{:toc}
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## spark.mllib supported models
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`spark.mllib` supports model export to Predictive Model Markup Language ([PMML](http://en.wikipedia.org/wiki/Predictive_Model_Markup_Language)).
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The table below outlines the `spark.mllib` models that can be exported to PMML and their equivalent PMML model.
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<table class="table">
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<thead>
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<tr><th>spark.mllib model</th><th>PMML model</th></tr>
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</thead>
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<tbody>
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<tr>
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<td>KMeansModel</td><td>ClusteringModel</td>
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</tr>
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<tr>
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<td>LinearRegressionModel</td><td>RegressionModel (functionName="regression")</td>
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</tr>
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<tr>
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<td>RidgeRegressionModel</td><td>RegressionModel (functionName="regression")</td>
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</tr>
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<tr>
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<td>LassoModel</td><td>RegressionModel (functionName="regression")</td>
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</tr>
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<tr>
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<td>SVMModel</td><td>RegressionModel (functionName="classification" normalizationMethod="none")</td>
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</tr>
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<tr>
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<td>Binary LogisticRegressionModel</td><td>RegressionModel (functionName="classification" normalizationMethod="logit")</td>
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</tr>
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</tbody>
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</table>
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## Examples
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<div class="codetabs">
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<div data-lang="scala" markdown="1">
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To export a supported `model` (see table above) to PMML, simply call `model.toPMML`.
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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.
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Refer to the [`KMeans` Scala docs](api/scala/org/apache/spark/mllib/clustering/KMeans.html) and [`Vectors` Scala docs](api/scala/org/apache/spark/mllib/linalg/Vectors$.html) for details on the API.
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Here a complete example of building a KMeansModel and print it out in PMML format:
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{% include_example scala/org/apache/spark/examples/mllib/PMMLModelExportExample.scala %}
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For unsupported models, either you will not find a `.toPMML` method or an `IllegalArgumentException` will be thrown.
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</div>
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</div>
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