spark FPGrowthWrapper 源码
spark FPGrowthWrapper 代码
文件路径：/mllib/src/main/scala/org/apache/spark/ml/r/FPGrowthWrapper.scala
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* 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,
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package org.apache.spark.ml.r
import org.apache.hadoop.fs.Path
import org.json4s.JsonDSL._
import org.json4s.jackson.JsonMethods._
import org.apache.spark.ml.fpm.{FPGrowth, FPGrowthModel}
import org.apache.spark.ml.util._
import org.apache.spark.sql.{DataFrame, Dataset}
private[r] class FPGrowthWrapper private (val fpGrowthModel: FPGrowthModel) extends MLWritable {
def freqItemsets: DataFrame = fpGrowthModel.freqItemsets
def associationRules: DataFrame = fpGrowthModel.associationRules
def transform(dataset: Dataset[_]): DataFrame = {
fpGrowthModel.transform(dataset)
}
override def write: MLWriter = new FPGrowthWrapper.FPGrowthWrapperWriter(this)
}
private[r] object FPGrowthWrapper extends MLReadable[FPGrowthWrapper] {
def fit(
data: DataFrame,
minSupport: Double,
minConfidence: Double,
itemsCol: String,
numPartitions: Integer): FPGrowthWrapper = {
val fpGrowth = new FPGrowth()
.setMinSupport(minSupport)
.setMinConfidence(minConfidence)
.setItemsCol(itemsCol)
if (numPartitions != null && numPartitions > 0) {
fpGrowth.setNumPartitions(numPartitions)
}
val fpGrowthModel = fpGrowth.fit(data)
new FPGrowthWrapper(fpGrowthModel)
}
override def read: MLReader[FPGrowthWrapper] = new FPGrowthWrapperReader
class FPGrowthWrapperReader extends MLReader[FPGrowthWrapper] {
override def load(path: String): FPGrowthWrapper = {
val modelPath = new Path(path, "model").toString
val fPGrowthModel = FPGrowthModel.load(modelPath)
new FPGrowthWrapper(fPGrowthModel)
}
}
class FPGrowthWrapperWriter(instance: FPGrowthWrapper) extends MLWriter {
override protected def saveImpl(path: String): Unit = {
val modelPath = new Path(path, "model").toString
val rMetadataPath = new Path(path, "rMetadata").toString
val rMetadataJson: String = compact(render(
"class" -> instance.getClass.getName
))
sc.parallelize(Seq(rMetadataJson), 1).saveAsTextFile(rMetadataPath)
instance.fpGrowthModel.save(modelPath)
}
}
}
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