/*
* Copyright (C) 2008-2015 by Holger Arndt
*
* This file is part of the Java Data Mining Package (JDMP).
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* JDMP is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* JDMP is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with JDMP; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package org.jdmp.core.algorithm.basic;
import java.util.HashMap;
import java.util.Map;
import org.jdmp.core.algorithm.AbstractAlgorithm;
import org.jdmp.core.variable.Variable;
import org.ujmp.core.Matrix;
import org.ujmp.core.calculation.Calculation.Ret;
import org.ujmp.core.util.MathUtil;
public class Mean extends AbstractAlgorithm {
private static final long serialVersionUID = 5594989536534719762L;
public static final String DESCRIPTION = "target = mean(source)";
private int defaultDimension = Matrix.ROW;
private final boolean defaultIgnoreNaN = true;
public Mean(int dimension) {
this();
this.defaultDimension = dimension;
}
public Mean(Variable... variables) {
super();
setDescription(DESCRIPTION);
addVariableKey(SOURCE);
addVariableKey(DIMENSION);
addVariableKey(IGNORENAN);
addVariableKey(TARGET);
setEdgeLabel(SOURCE, "Source");
setEdgeLabel(DIMENSION, "Dimension");
setEdgeLabel(IGNORENAN, "IgnoreNaN");
setEdgeLabel(TARGET, "Target");
setEdgeDirection(SOURCE, EdgeDirection.Incoming);
setEdgeDirection(DIMENSION, EdgeDirection.Incoming);
setEdgeDirection(IGNORENAN, EdgeDirection.Incoming);
setEdgeDirection(TARGET, EdgeDirection.Outgoing);
setVariables(variables);
}
public Map calculateObjects(Map input) {
int dimension = defaultDimension;
boolean ignoreNaN = defaultIgnoreNaN;
Map result = new HashMap();
Matrix source = MathUtil.getMatrix(input.get(SOURCE));
Object o2 = input.get(DIMENSION);
if (o2 != null) {
dimension = MathUtil.getInt(o2);
}
Object o3 = input.get(IGNORENAN);
if (o3 != null) {
ignoreNaN = MathUtil.getBoolean(o3);
}
Matrix target = source.mean(Ret.NEW, dimension, ignoreNaN);
result.put(TARGET, target);
return result;
}
}
Ads help maintain this website.