Java tutorial
/** * Copyright 2016 Simon Reu * * 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 cc.kave.commons.pointsto.evaluation.measures; import java.util.Set; import com.google.common.collect.ImmutableSet; import cc.recommenders.evaluation.data.Measure; import cc.recommenders.mining.calls.ICallsRecommender; import cc.recommenders.names.ICoReMethodName; import cc.recommenders.usages.Query; public class F1Measure extends AbstractMeasure { @Override public double calculate(ICallsRecommender<Query> recommender, Query q, Set<ICoReMethodName> expectation) { Set<ICoReMethodName> proposals = ImmutableSet.copyOf(getProposals(recommender, q)); Measure measure = Measure.newMeasure(expectation, proposals); return measure.getF1(); } }