[8798] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15584] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8798] | 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 HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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[15406] | 23 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
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[8798] | 24 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Views;
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| 25 |
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| 26 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis.Views {
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| 27 | public partial class InteractiveSymbolicTimeSeriesPrognosisSolutionSimplifierView : InteractiveSymbolicDataAnalysisSolutionSimplifierView {
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| 28 | public new SymbolicTimeSeriesPrognosisSolution Content {
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| 29 | get { return (SymbolicTimeSeriesPrognosisSolution)base.Content; }
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| 30 | set { base.Content = value; }
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| 31 | }
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| 32 |
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| 33 | public InteractiveSymbolicTimeSeriesPrognosisSolutionSimplifierView()
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[15406] | 34 | : base(new SymbolicRegressionSolutionImpactValuesCalculator()) {
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[8798] | 35 | InitializeComponent();
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| 36 | this.Caption = "Interactive Time-Series Prognosis Solution Simplifier";
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| 37 | }
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| 38 |
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[11146] | 39 | protected override void UpdateModel(ISymbolicExpressionTree tree) {
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[14027] | 40 | var model = new SymbolicTimeSeriesPrognosisModel(Content.ProblemData.TargetVariable, tree, Content.Model.Interpreter);
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[11146] | 41 | model.Scale(Content.ProblemData);
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| 42 | Content.Model = model;
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| 43 | }
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[8798] | 44 | }
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| 45 | }
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