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source: branches/Persistence Test/LibSVM/Scaling.cs @ 3118

Last change on this file since 3118 was 2415, checked in by gkronber, 15 years ago

Updated LibSVM project to latest version. #774

File size: 2.0 KB
Line 
1/*
2 * SVM.NET Library
3 * Copyright (C) 2008 Matthew Johnson
4 *
5 * This program is free software: you can redistribute it and/or modify
6 * it under the terms of the GNU General Public License as published by
7 * the Free Software Foundation, either version 3 of the License, or
8 * (at your option) any later version.
9 *
10 * This program is distributed in the hope that it will be useful,
11 * but WITHOUT ANY WARRANTY; without even the implied warranty of
12 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
13 * GNU General Public License for more details.
14 *
15 * You should have received a copy of the GNU General Public License
16 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
17 */
18
19
20using System;
21
22namespace SVM
23{
24    /// <summary>
25    /// Deals with the scaling of Problems so they have uniform ranges across all dimensions in order to
26    /// result in better SVM performance.
27    /// </summary>
28    public static class Scaling
29    {
30        /// <summary>
31        /// Scales a problem using the provided range.  This will not affect the parameter.
32        /// </summary>
33        /// <param name="prob">The problem to scale</param>
34        /// <param name="range">The Range transform to use in scaling</param>
35        /// <returns>The Scaled problem</returns>
36        public static Problem Scale(this IRangeTransform range, Problem prob)
37        {
38            Problem scaledProblem = new Problem(prob.Count, new double[prob.Count], new Node[prob.Count][], prob.MaxIndex);
39            for (int i = 0; i < scaledProblem.Count; i++)
40            {
41                scaledProblem.X[i] = new Node[prob.X[i].Length];
42                for (int j = 0; j < scaledProblem.X[i].Length; j++)
43                    scaledProblem.X[i][j] = new Node(prob.X[i][j].Index, range.Transform(prob.X[i][j].Value, prob.X[i][j].Index));
44                scaledProblem.Y[i] = prob.Y[i];
45            }
46            return scaledProblem;
47        }
48    }
49}
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