/*
* 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.normalize.AnalystField;
public class NegateMissing implements HandleMissingValues {
@Override
public double[] handleMissing(EncogAnalyst analyst, AnalystField stat) {
double[] result = new double[stat.getColumnsNeeded()];
double n = stat.getNormalizedHigh() - (stat.getNormalizedHigh()-stat.getNormalizedLow()/2);
for(int i=0;i<result.length;i++) {
result[i] = n;
}
return result;
}
}