/* * 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.ml.data.versatile.missing; import java.io.Serializable; import org.encog.EncogError; import org.encog.ml.data.versatile.NormalizationHelper; import org.encog.ml.data.versatile.columns.ColumnDefinition; /** * Handle missing data by using the mean value of that column. */ public class MeanMissingHandler implements MissingHandler, Serializable { /** * {@inheritDoc} */ @Override public void init(NormalizationHelper normalizationHelper) { } /** * {@inheritDoc} */ @Override public String processString(ColumnDefinition colDef) { throw new EncogError("The mean missing handler only accepts continuous numeric values."); } /** * {@inheritDoc} */ @Override public double processDouble(ColumnDefinition colDef) { return colDef.getMean(); } }