首页 > 解决方案 > 如何组合两个对象元素

问题描述

我想将两个单独的结果合并为一个结果。我的第一个结果是第一个算法的 itemscore:

PredictedResult(List(ItemScore(140849,0.6259532295250041,0.0,0.0,0.0)),List())

我的第二个结果是第二种算法的规则分数:

PredictedResult(List(),List(Rule(Set(140855),List(ItemScore(368788,0.0,1.3516984090509725E-5,0.1111111111111111,38.59207094418362)))))

您可以看到第一个结果有一个 Empty 列表。此列表填写第二个结果。这也适用于项目分数,反之亦然。

服务类只接受两个结果之一,但不接受组合。

服务.scala:

package org.template

import org.apache.predictionio.controller.LServing

class Serving
  extends LServing[Query, PredictedResult] {

  override
  def serve(query: Query,
    predictedResults: Seq[PredictedResult]): PredictedResult = {
    println(predictedResults(0))
    println(predictedResults(1))

    // Returning
    predictedResults(0)

    }
}

引擎.json:

    package org.template

import org.apache.predictionio.controller.EngineFactory
import org.apache.predictionio.controller.Engine

// Query most similar (top num) items to the given
case class Query(items: Set[String], num: Int) extends Serializable

case class PredictedResult(itemScores: List[ItemScore], rules: List[Rule])

case class Rule(cond: Set[String], itemScores: List[ItemScore])
  extends Serializable 

case class ItemScore(item: String, score: Double, support: Double, confidence: Double, lift: Double) extends Serializable with
Ordered[ItemScore] {
  def compare(that: ItemScore) = this.score.compare(that.score)
}

当我点击查询时,现在我得到了唯一的一个结果:

{"itemScores":[{"item":"140849","score":0.6259532295250041,"support":0.0,"confidence":0.0,"lift":0.0}],"rules":[]}

预期输出(来自 algorithm1 的 ItemScore 与来自 algorithm2 的 Rule 相结合):

PredictedResult(List(ItemScore(140849,0.6259532295250041,0.0,0.0,0.0)),List(Rule(Set(140855),List(ItemScore(368788,0.0,1.3516984090509725E-5,0.1111111111111111,38.59207094418362)))))

标签: scalapredictionio

解决方案


++像这样尝试列表连接

case class ItemScore(i: Int)
case class Rule(s: String, itemScores: List[ItemScore])
case class PredictedResult(itemScores: List[ItemScore], rules: List[Rule])

val pr1 = PredictedResult(List(ItemScore(1)), Nil)
val pr2 = PredictedResult(Nil, List(Rule("rule1", List(ItemScore(2)))))

PredictedResult(pr1.itemScores ++ pr2.itemScores, pr1.rules ++ pr2.rules)

哪个输出

res0: PredictedResult = PredictedResult(List(ItemScore(1)),List(Rule(rule1,List(ItemScore(2)))))

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