001    /*
002     * Copyright (C) 2008-2010 by Holger Arndt
003     *
004     * This file is part of the Universal Java Matrix Package (UJMP).
005     * See the NOTICE file distributed with this work for additional
006     * information regarding copyright ownership and licensing.
007     *
008     * UJMP is free software; you can redistribute it and/or modify
009     * it under the terms of the GNU Lesser General Public License as
010     * published by the Free Software Foundation; either version 2
011     * of the License, or (at your option) any later version.
012     *
013     * UJMP is distributed in the hope that it will be useful,
014     * but WITHOUT ANY WARRANTY; without even the implied warranty of
015     * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
016     * GNU Lesser General Public License for more details.
017     *
018     * You should have received a copy of the GNU Lesser General Public
019     * License along with UJMP; if not, write to the
020     * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
021     * Boston, MA  02110-1301  USA
022     */
023    
024    package org.ujmp.core.doublematrix.calculation.general.missingvalues;
025    
026    import org.ujmp.core.Matrix;
027    import org.ujmp.core.doublematrix.calculation.AbstractDoubleCalculation;
028    import org.ujmp.core.doublematrix.calculation.DoubleCalculation;
029    import org.ujmp.core.exceptions.MatrixException;
030    
031    public class Impute extends AbstractDoubleCalculation {
032            private static final long serialVersionUID = -8899889992449926887L;
033    
034            public enum ImputationMethod {
035                    Zero, RowMean, ColumnMean, Regression, KNN, EM, BPCA, EMimputeGene, EMimputeArray, LSimputeGene, LSimputeArray, LSimputeCombined, LSimputeAdaptive
036            };
037    
038            private Matrix imp = null;
039    
040            private ImputationMethod method = null;
041    
042            private Object[] parameters = null;
043    
044            public Impute(Matrix matrix, ImputationMethod method, Object... parameters) {
045                    super(matrix);
046                    this.method = method;
047                    this.parameters = parameters;
048            }
049    
050            
051            public double getDouble(long... coordinates) throws MatrixException {
052                    if (imp == null) {
053                            try {
054    
055                                    DoubleCalculation calc = null;
056    
057                                    switch (method) {
058                                    case Zero:
059                                            calc = new ImputeZero(getSource());
060                                            break;
061                                    case RowMean:
062                                            calc = new ImputeMean(Matrix.ROW, getSource());
063                                            break;
064                                    case ColumnMean:
065                                            calc = new ImputeMean(Matrix.COLUMN, getSource());
066                                            break;
067                                    case BPCA:
068                                            calc = new ImputeBPCA(getSource());
069                                            break;
070                                    case KNN:
071                                            calc = new ImputeKNN(getSource(), parameters);
072                                            break;
073                                    case EM:
074                                            calc = new ImputeEM(getSource());
075                                            break;
076                                    case Regression:
077                                            calc = new ImputeRegression(getSource());
078                                            break;
079                                    case EMimputeGene:
080                                            calc = new ImputeLS(getSource(), method);
081                                            break;
082                                    case EMimputeArray:
083                                            calc = new ImputeLS(getSource(), method);
084                                            break;
085                                    case LSimputeGene:
086                                            calc = new ImputeLS(getSource(), method);
087                                            break;
088                                    case LSimputeArray:
089                                            calc = new ImputeLS(getSource(), method);
090                                            break;
091                                    case LSimputeCombined:
092                                            calc = new ImputeLS(getSource(), method);
093                                            break;
094                                    case LSimputeAdaptive:
095                                            calc = new ImputeLS(getSource(), method);
096                                            break;
097                                    }
098    
099                                    imp = calc.calcNew();
100    
101                            } catch (Exception e) {
102                                    throw new MatrixException(e);
103                            }
104                    }
105                    return imp.getAsDouble(coordinates);
106            }
107    
108    }