Java tutorial
/* * Copyright (C) 2016 Stefan Hen * * 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 com.insightml.evaluation.functions; import java.io.Serializable; import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics; import com.insightml.data.samples.ISamples; public final class MedianError extends AbstractIndependentLabelsObjectiveFunction<Object, Serializable> { private static final long serialVersionUID = -653970887798242216L; @Override public DescriptiveStatistics label(final Serializable[] preds, final Object[] expected, final double[] weights, final ISamples<?, ?> samples, final int labelIndex) { final DescriptiveStatistics stats = new DescriptiveStatistics(); for (int i = 0; i < preds.length; ++i) { final double[] predAndAct = toDouble(preds[i], expected[i]); stats.addValue(Math.abs(predAndAct[0] - predAndAct[1])); } return new DescriptiveStatistics(new double[] { stats.getPercentile(50) }); } @Override public double normalize(final double score) { return -score; } }