[15870] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 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.Collections.Generic;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 27 |
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| 28 | namespace HeuristicLab.Problems.DataAnalysis {
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| 29 | [Item("Regression Transformation Model", "A regression model that was transformed back to match the original variables after the training was performed on transformed variables.")]
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| 30 | [StorableClass]
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| 31 | public class RegressionTransformationModel : DataAnalysisTransformationModel, IRegressionTransformationModel {
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| 32 |
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| 33 | public new IRegressionModel OriginalModel {
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| 34 | get { return (IRegressionModel)base.OriginalModel; }
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| 35 | }
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| 36 |
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[15884] | 37 | IEnumerable<IDataAnalysisTransformation> IRegressionTransformationModel.TargetTransformations {
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| 38 | get { return TargetTransformations; }
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| 39 | }
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| 40 |
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[15870] | 41 | #region Constructor, Cloning & Persistence
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| 42 | public RegressionTransformationModel(IRegressionModel originalModel, IEnumerable<IDataAnalysisTransformation> transformations)
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| 43 | : base(originalModel, transformations) {
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[15884] | 44 | var transitiveTargets = DataAnalysisTransformation.GetTransitiveVariables(new[] { originalModel.TargetVariable }, transformations, inverse: true).ToList();
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[15870] | 45 | TargetTransformations = new ItemList<IDataAnalysisTransformation>(transformations.Where(t => transitiveTargets.Contains(t.OriginalVariable))).AsReadOnly();
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[15884] | 46 | TargetVariable = DataAnalysisTransformation.GetLastTransitiveVariable(originalModel.TargetVariable, TargetTransformations, inverse: true);
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[15870] | 47 | }
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| 48 |
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| 49 | protected RegressionTransformationModel(RegressionTransformationModel original, Cloner cloner)
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| 50 | : base(original, cloner) {
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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 RegressionTransformationModel(this, cloner);
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| 55 | }
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| 56 |
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| 57 | [StorableConstructor]
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| 58 | protected RegressionTransformationModel(bool deserializing)
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| 59 | : base(deserializing) { }
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| 60 | #endregion
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| 61 |
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| 62 | public virtual IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
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[15884] | 63 | var transformedInput = DataAnalysisTransformation.Transform(dataset, InputTransformations);
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| 64 | var estimates = OriginalModel.GetEstimatedValues(transformedInput, rows);
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| 65 | return InverseTransform(estimates, TargetTransformations);
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[15870] | 66 | }
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| 67 |
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| 68 | public virtual IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
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| 69 | return new RegressionSolution(this, new RegressionProblemData(problemData));
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| 70 | }
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| 71 |
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[15884] | 72 | protected static IEnumerable<double> InverseTransform(IEnumerable<double> data, IEnumerable<IDataAnalysisTransformation> transformations) {
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| 73 | foreach (var transformation in transformations.Reverse()) { // TargetTransformations only contains only relevant transformations
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| 74 | var trans = (ITransformation<double>)transformation.Transformation;
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| 75 | data = trans.InverseApply(data).ToList();
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[15870] | 76 | }
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[15884] | 77 | return data;
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[15870] | 78 | }
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| 79 | }
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| 80 | } |
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