Java tutorial
/* * Copyright 2015-2016 Red Hat, Inc. and/or its affiliates * and other contributors as indicated by the @author tags. * * 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 org.hawkular.datamining.forecast.utils; import java.util.List; import org.apache.commons.lang3.ArrayUtils; import org.apache.commons.math3.stat.descriptive.moment.StandardDeviation; import org.hawkular.datamining.forecast.DataPoint; /** * @author Pavol Loffay */ public class Utils { private Utils() { } /** * Converts list of data points to array of values * @return array of values */ public static double[] toArray(List<DataPoint> data) { double[] result = new double[data.size()]; for (int i = 0; i < data.size(); i++) { result[i] = data.get(i).getValue(); } return result; } public static double standardDeviation(Double[] residuals) { double[] primitiveResiduals = ArrayUtils.toPrimitive(residuals); StandardDeviation standardDeviation = new StandardDeviation(); return standardDeviation.evaluate(primitiveResiduals); } }