1 | using System.Collections.Generic;
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2 | using System.Linq;
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3 | using HeuristicLab.Common;
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4 | using HeuristicLab.Core;
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5 | using HeuristicLab.Data;
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6 | using HeuristicLab.Parameters;
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7 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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8 |
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9 | namespace HeuristicLab.Problems.DataAnalysis {
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10 | [StorableClass]
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11 | [Item("Shift to Range Transformation", "f(x) = k * x + d, start <= f(x) <= end | Represents a linear Transformation using Parameters defining a target range")]
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12 | public class ShiftToRangeTransformation : LinearTransformation {
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13 | protected const string RangeParameterName = "Range";
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14 |
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15 | #region Parameters
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16 | public IValueParameter<DoubleRange> RangeParameter {
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17 | get { return (IValueParameter<DoubleRange>)Parameters[RangeParameterName]; }
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18 | }
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19 | #endregion
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20 |
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21 | #region properties
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22 | public override string ShortName {
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23 | get { return "Sft"; }
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24 | }
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25 | public DoubleRange Range {
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26 | get { return RangeParameter.Value; }
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27 | }
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28 | #endregion
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29 |
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30 | [StorableConstructor]
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31 | protected ShiftToRangeTransformation(bool deserializing) : base(deserializing) { }
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32 | protected ShiftToRangeTransformation(ShiftToRangeTransformation original, Cloner cloner)
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33 | : base(original, cloner) {
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34 | }
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35 | public ShiftToRangeTransformation(IEnumerable<string> allowedColumns)
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36 | : base(allowedColumns) {
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37 | MultiplierParameter.Hidden = true;
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38 | AddendParameter.Hidden = true;
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39 | Parameters.Add(new ValueParameter<DoubleRange>(RangeParameterName, "start, end | Range for the target window of the linear transformation", new DoubleRange(0.0, 1.0)));
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40 | }
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41 |
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42 | public override IDeepCloneable Clone(Cloner cloner) {
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43 | return new ShiftToRangeTransformation(this, cloner);
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44 | }
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45 |
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46 | public override bool Check(IEnumerable<double> data, out string errorMsg) {
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47 | ConfigureParameters(data);
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48 | return base.Check(data, out errorMsg);
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49 | }
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50 |
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51 | public override void ConfigureParameters(IEnumerable<double> data) {
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52 | double originalRangeStart = data.Min();
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53 | double originalRangeEnd = data.Max();
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54 |
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55 | double originalRangeWidth = originalRangeEnd - originalRangeStart;
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56 | double targetRangeWidth = Range.End - Range.Start;
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57 |
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58 | Multiplier = targetRangeWidth / originalRangeWidth;
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59 | Addend = Range.Start - originalRangeStart * Multiplier;
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60 | }
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61 | }
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62 | }
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