/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, 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. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.app.analyst.missing; import org.encog.app.analyst.EncogAnalyst; import org.encog.app.analyst.script.DataField; import org.encog.app.analyst.script.normalize.AnalystField; public class MeanAndModeMissing implements HandleMissingValues { @Override public double[] handleMissing(EncogAnalyst analyst, AnalystField stat) { // mode? if( stat.isClassify() ) { int m = stat.determineMode(analyst); return stat.encode(m); } else { // mean DataField df = analyst.getScript().findDataField(stat.getName()); double[] result = new double[1]; result[0] = df.getMean(); return result; } } }