spark PMMLExportable 源码
spark PMMLExportable 代码
文件路径：/mllib/src/main/scala/org/apache/spark/mllib/pmml/PMMLExportable.scala
/*
* 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
import java.io.{File, OutputStream, StringWriter}
import javax.xml.transform.stream.StreamResult
import org.jpmml.model.JAXBUtil
import org.apache.spark.SparkContext
import org.apache.spark.annotation.Since
import org.apache.spark.mllib.pmml.export.PMMLModelExportFactory
/**
* Export model to the PMML format
* Predictive Model Markup Language (PMML) is an XML-based file format
* developed by the Data Mining Group (www.dmg.org).
*/
@Since("1.4.0")
trait PMMLExportable {
/**
* Export the model to the stream result in PMML format
*/
private def toPMML(streamResult: StreamResult): Unit = {
val pmmlModelExport = PMMLModelExportFactory.createPMMLModelExport(this)
JAXBUtil.marshalPMML(pmmlModelExport.getPmml, streamResult)
}
/**
* Export the model to a local file in PMML format
*/
@Since("1.4.0")
def toPMML(localPath: String): Unit = {
toPMML(new StreamResult(new File(localPath)))
}
/**
* Export the model to a directory on a distributed file system in PMML format
*/
@Since("1.4.0")
def toPMML(sc: SparkContext, path: String): Unit = {
val pmml = toPMML()
sc.parallelize(Seq(pmml), 1).saveAsTextFile(path)
}
/**
* Export the model to the OutputStream in PMML format
*/
@Since("1.4.0")
def toPMML(outputStream: OutputStream): Unit = {
toPMML(new StreamResult(outputStream))
}
/**
* Export the model to a String in PMML format
*/
@Since("1.4.0")
def toPMML(): String = {
val writer = new StringWriter
toPMML(new StreamResult(writer))
writer.toString
}
}
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