[8323] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14185] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8323] | 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 | using HeuristicLab.Problems.DataAnalysis;
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| 29 |
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| 30 | namespace HeuristicLab.Algorithms.DataAnalysis {
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[14843] | 31 | [Obsolete("Use transformation classes in Problems.DataAnalysis instead")]
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[8323] | 32 | [StorableClass]
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[8416] | 33 | [Item(Name = "Scaling", Description = "Contains information about scaling of variables for data-analysis algorithms.")]
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[8323] | 34 | public class Scaling : Item {
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| 35 | [Storable]
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| 36 | private Dictionary<string, Tuple<double, double>> scalingParameters = new Dictionary<string, Tuple<double, double>>();
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| 37 | [StorableConstructor]
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| 38 | protected Scaling(bool deserializing) : base(deserializing) { }
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| 39 | protected Scaling(Scaling original, Cloner cloner)
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| 40 | : base(original, cloner) {
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| 41 | foreach (var pair in original.scalingParameters)
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| 42 | scalingParameters.Add(pair.Key, Tuple.Create(pair.Value.Item1, pair.Value.Item2));
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| 43 | }
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[12509] | 44 | public Scaling(IDataset ds, IEnumerable<string> variables, IEnumerable<int> rows) {
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[8323] | 45 | foreach (var variable in variables) {
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| 46 | var values = ds.GetDoubleValues(variable, rows);
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[8829] | 47 | var min = values.Where(x => !double.IsNaN(x)).Min();
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| 48 | var max = values.Where(x => !double.IsNaN(x)).Max();
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[8323] | 49 | scalingParameters[variable] = Tuple.Create(min, max);
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| 50 | }
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| 51 | }
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| 52 |
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| 53 | public override IDeepCloneable Clone(Cloner cloner) {
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| 54 | return new Scaling(this, cloner);
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| 55 | }
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| 56 |
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[12509] | 57 | public IEnumerable<double> GetScaledValues(IDataset ds, string variable, IEnumerable<int> rows) {
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[8323] | 58 | double min = scalingParameters[variable].Item1;
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| 59 | double max = scalingParameters[variable].Item2;
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[8829] | 60 | if (min.IsAlmost(max)) return rows.Select(i => 0.0); // return enumerable of zeros
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| 61 | return ds.GetDoubleValues(variable, rows).Select(x => (x - min) / (max - min)); // scale to range [0..1]
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[8323] | 62 | }
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[8463] | 63 |
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| 64 | public void GetScalingParameters(string variable, out double min, out double max) {
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| 65 | min = scalingParameters[variable].Item1;
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| 66 | max = scalingParameters[variable].Item2;
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| 67 | }
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[8323] | 68 | }
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| 69 | }
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