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/** Copyright 2014 TappingStone, Inc.
*
* Licensed 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 io.prediction.controller.java
import io.prediction.controller.Params
import io.prediction.core.BaseMetrics
import java.util.{ List => JList }
import java.lang.{ Iterable => JIterable }
import scala.collection.JavaConversions._
import scala.reflect._
/**
* Base class of metrics.
*
* Metrics compare predictions with actual known values and produce numerical
* comparisons.
*/
abstract class JavaMetrics[MP <: Params, DP, Q, P, A, MU, MR, MMR <: AnyRef]
extends BaseMetrics[MP, DP, Q, P, A, MU, MR, MMR]()(
JavaUtils.fakeManifest[MP]) {
def computeUnitBase(input: (Q, P, A)): MU = {
computeUnit(input._1, input._2, input._3)
}
/**
* Implement this method to calculate a unit of metrics, comparing a pair of
* predicted and actual values.
*/
def computeUnit(query: Q, predicted: P, actual: A): MU
def computeSetBase(dataParams: DP, metricUnits: Seq[MU]): MR = {
computeSet(dataParams, metricUnits)
}
/**
* Implement this method to calculate metrics results of an evaluation.
*/
def computeSet(dataParams: DP, metricUnits: JIterable[MU]): MR
def computeMultipleSetsBase(input: Seq[(DP, MR)]): MMR = {
computeMultipleSets(input)
}
/**
* Implement this method to aggregate all metrics results generated by each
* evaluation's {@link JavaMetrics#computeSet} to produce the final result.
*/
def computeMultipleSets(input: JIterable[Tuple2[DP, MR]]): MMR
}