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/*
* 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.
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package org.apache.predictionio.examples.classification
import org.apache.predictionio.controller.OptionAverageMetric
import org.apache.predictionio.controller.EmptyEvaluationInfo
import org.apache.predictionio.controller.Evaluation
case class Precision(label: Double)
extends OptionAverageMetric[EmptyEvaluationInfo, Query, PredictedResult, ActualResult] {
override def header: String = s"Precision(label = $label)"
def calculate(query: Query, predicted: PredictedResult, actual: ActualResult)
: Option[Double] = {
if (predicted.label == label) {
if (predicted.label == actual.label) {
Some(1.0) // True positive
} else {
Some(0.0) // False positive
}
} else {
None // Unrelated case for calculating precision
}
}
}
object PrecisionEvaluation extends Evaluation {
engineMetric = (ClassificationEngine(), Precision(label = 1.0))
}