Java tutorial
/** * Copyright 2016 Carnegie Mellon University * * 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 edu.cmu.sv.modelinference.eventtool; import java.util.ArrayList; import java.util.List; import com.google.common.collect.Range; import edu.cmu.sv.modelinference.eventtool.classification.AvgFeature; import edu.cmu.sv.modelinference.eventtool.classification.Event; /** * @author Kasper Luckow * */ public class AvgEventGenerator implements EventGenerator { @Override public List<Event> computeEvents(List<Range<Integer>> eventIntervals, double[] ys, int stepSize) { List<Event> avgForEvents = new ArrayList<>(); int idx = 0; for (Range<Integer> event : eventIntervals) { double[] yData = new double[(event.upperEndpoint() - event.lowerEndpoint()) / stepSize]; for (int i = 0, r = event.lowerEndpoint(); r < event.upperEndpoint(); r += stepSize, i++, idx++) { yData[i] = ys[idx]; } avgForEvents.add(new Event(event, new AvgFeature(yData))); } return avgForEvents; } }