#region License Information /* HeuristicLab * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Collections.Generic; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.Problems.DataAnalysis.Symbolic.Views; namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression.Views { public partial class InteractiveSymbolicRegressionSolutionSimplifierView : InteractiveSymbolicDataAnalysisSolutionSimplifierView { private readonly SymbolicRegressionSolutionImpactValuesCalculator calculator; public new SymbolicRegressionSolution Content { get { return (SymbolicRegressionSolution)base.Content; } set { base.Content = value; } } public InteractiveSymbolicRegressionSolutionSimplifierView() : base() { InitializeComponent(); this.Caption = "Interactive Regression Solution Simplifier"; calculator = new SymbolicRegressionSolutionImpactValuesCalculator(); } protected override void UpdateModel(ISymbolicExpressionTree tree) { var model = new SymbolicRegressionModel(tree, Content.Model.Interpreter, Content.Model.LowerEstimationLimit, Content.Model.UpperEstimationLimit); SymbolicRegressionModel.Scale(model, Content.ProblemData, Content.ProblemData.TargetVariable); Content.Model = model; } protected override Dictionary CalculateReplacementValues(ISymbolicExpressionTree tree) { return calculator.CalculateReplacementValues(tree, Content.Model.Interpreter, Content.ProblemData); } protected override Dictionary CalculateImpactValues(ISymbolicExpressionTree tree) { return calculator.CalculateImpactValues(tree, Content.Model.Interpreter, Content.ProblemData, 0, 0); } protected override void btnOptimizeConstants_Click(object sender, EventArgs e) { var model = Content.Model; SymbolicRegressionConstantOptimizationEvaluator.OptimizeConstants(model.Interpreter, model.SymbolicExpressionTree, Content.ProblemData, Content.ProblemData.TrainingIndices, applyLinearScaling: true, maxIterations: 50, upperEstimationLimit: model.UpperEstimationLimit, lowerEstimationLimit: model.LowerEstimationLimit); UpdateModel(Content.Model.SymbolicExpressionTree); } } }