[10815] | 1 | using System.Collections.Generic;
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[10784] | 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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[16628] | 8 | using HEAL.Attic;
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[10784] | 9 |
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[11068] | 10 | namespace HeuristicLab.Problems.DataAnalysis {
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[16628] | 11 | [StorableType("749355B1-2F87-4F52-886D-F4130E56476D")]
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[10909] | 12 | [Item("Shift Standard Distribution Transformation", "f(x) = ((x - m_org) / s_org ) * s_tar + m_tar | Represents Transformation to unit standard deviation and additional linear transformation to a target Mean and Standard deviation")]
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[10841] | 13 | public class ShiftStandardDistributionTransformation : Transformation<double> {
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[10909] | 14 | protected const string OriginalMeanParameterName = "Original Mean";
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| 15 | protected const string OriginalStandardDeviationParameterName = "Original Standard Deviation";
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[10784] | 16 | protected const string MeanParameterName = "Mean";
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[10909] | 17 | protected const string StandardDeviationParameterName = "Standard Deviation";
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[10784] | 18 |
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| 19 | #region Parameters
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[10815] | 20 | public IValueParameter<DoubleValue> OriginalMeanParameter {
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| 21 | get { return (IValueParameter<DoubleValue>)Parameters[OriginalMeanParameterName]; }
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| 22 | }
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| 23 | public IValueParameter<DoubleValue> OriginalStandardDeviationParameter {
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| 24 | get { return (IValueParameter<DoubleValue>)Parameters[OriginalStandardDeviationParameterName]; }
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| 25 | }
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[10784] | 26 | public IValueParameter<DoubleValue> MeanParameter {
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| 27 | get { return (IValueParameter<DoubleValue>)Parameters[MeanParameterName]; }
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| 28 | }
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[10815] | 29 | public IValueParameter<DoubleValue> StandardDeviationParameter {
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| 30 | get { return (IValueParameter<DoubleValue>)Parameters[StandardDeviationParameterName]; }
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[10784] | 31 | }
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| 32 | #endregion
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| 33 |
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| 34 | #region properties
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[10932] | 35 | public override string ShortName {
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| 36 | get { return "Std"; }
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| 37 | }
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[10815] | 38 | public double OriginalMean {
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| 39 | get { return OriginalMeanParameter.Value.Value; }
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| 40 | set { OriginalMeanParameter.Value.Value = value; }
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| 41 | }
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| 42 | public double OriginalStandardDeviation {
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| 43 | get { return OriginalStandardDeviationParameter.Value.Value; }
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| 44 | set { OriginalStandardDeviationParameter.Value.Value = value; }
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| 45 | }
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[10784] | 46 | public double Mean {
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| 47 | get { return MeanParameter.Value.Value; }
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| 48 | }
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[10815] | 49 | public double StandardDeviation {
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| 50 | get { return StandardDeviationParameter.Value.Value; }
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[10784] | 51 | }
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| 52 | #endregion
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| 53 |
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| 54 | [StorableConstructor]
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[16628] | 55 | protected ShiftStandardDistributionTransformation(StorableConstructorFlag _) : base(_) { }
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[11114] | 56 | protected ShiftStandardDistributionTransformation(ShiftStandardDistributionTransformation original, Cloner cloner)
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[10784] | 57 | : base(original, cloner) {
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| 58 | }
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[10841] | 59 | public ShiftStandardDistributionTransformation(IEnumerable<string> allowedColumns)
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[10784] | 60 | : base(allowedColumns) {
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[10815] | 61 | Parameters.Add(new ValueParameter<DoubleValue>(OriginalMeanParameterName, "m_org | Mean value of the original data's deviation.", new DoubleValue()));
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| 62 | Parameters.Add(new ValueParameter<DoubleValue>(OriginalStandardDeviationParameterName, "s_org | Standard deviation of the original data.", new DoubleValue()));
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| 63 | OriginalMeanParameter.Hidden = true;
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| 64 | OriginalStandardDeviationParameter.Hidden = true;
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| 65 | Parameters.Add(new ValueParameter<DoubleValue>(MeanParameterName, "m_tar | Mean value for the target deviation.", new DoubleValue(0.0)));
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| 66 | Parameters.Add(new ValueParameter<DoubleValue>(StandardDeviationParameterName, "s_tar | Standard deviation for the target data.", new DoubleValue(1.0)));
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[10784] | 67 | }
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| 68 |
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| 69 | public override IDeepCloneable Clone(Cloner cloner) {
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[10841] | 70 | return new ShiftStandardDistributionTransformation(this, cloner);
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[10784] | 71 | }
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| 72 |
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| 73 | public override IEnumerable<double> Apply(IEnumerable<double> data) {
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[12612] | 74 | if (OriginalStandardDeviation.IsAlmost(0.0)) {
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| 75 | return data;
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[10815] | 76 | }
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[12612] | 77 | var old_m = OriginalMean;
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| 78 | var old_s = OriginalStandardDeviation;
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| 79 | var m = Mean;
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| 80 | var s = StandardDeviation;
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| 81 | return data
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| 82 | .Select(d => (d - old_m) / old_s) // standardized
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| 83 | .Select(d => d * s + m);
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[10784] | 84 | }
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| 85 |
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| 86 | public override bool Check(IEnumerable<double> data, out string errorMsg) {
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| 87 | ConfigureParameters(data);
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[10815] | 88 | errorMsg = "";
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[12612] | 89 | if (OriginalStandardDeviation.IsAlmost(0.0)) {
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[10816] | 90 | errorMsg = "Standard deviaton for the original data is 0.0, Transformation cannot be applied onto these values.";
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[10815] | 91 | return false;
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| 92 | }
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[10821] | 93 | return true;
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[10784] | 94 | }
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| 95 |
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[14843] | 96 | public override void ConfigureParameters(IEnumerable<double> data) {
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[10815] | 97 | OriginalStandardDeviation = data.StandardDeviation();
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| 98 | OriginalMean = data.Average();
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[10784] | 99 | }
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| 100 | }
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| 101 | }
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