examples/scala-parallel-classification/reading-custom-properties/src/main/scala/Evaluation.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
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 *
 *    http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.predictionio.examples.classification

import org.apache.predictionio.controller.AverageMetric
import org.apache.predictionio.controller.EmptyEvaluationInfo
import org.apache.predictionio.controller.EngineParams
import org.apache.predictionio.controller.EngineParamsGenerator
import org.apache.predictionio.controller.Evaluation

case class Accuracy()
  extends AverageMetric[EmptyEvaluationInfo, Query, PredictedResult, ActualResult] {
  def calculate(query: Query, predicted: PredictedResult, actual: ActualResult)
  : Double = (if (predicted.label == actual.label) 1.0 else 0.0)
}

object AccuracyEvaluation extends Evaluation {
  // Define Engine and Metric used in Evaluation
  engineMetric = (ClassificationEngine(), Accuracy())
}

object EngineParamsList extends EngineParamsGenerator {
  // Define list of EngineParams used in Evaluation

  // First, we define the base engine params. It specifies the appId from which
  // the data is read, and a evalK parameter is used to define the
  // cross-validation.
  private[this] val baseEP = EngineParams(
    dataSourceParams = DataSourceParams(appName = "INVALID_APP_NAME", evalK = Some(5)))

  // Second, we specify the engine params list by explicitly listing all
  // algorithm parameters. In this case, we evaluate 3 engine params, each with
  // a different algorithm params value.
  engineParamsList = Seq(
    baseEP.copy(algorithmParamsList = Seq(("naive", AlgorithmParams(10.0)))),
    baseEP.copy(algorithmParamsList = Seq(("naive", AlgorithmParams(100.0)))),
    baseEP.copy(algorithmParamsList = Seq(("naive", AlgorithmParams(1000.0)))))
}