[8594] | 1 | #region License Information
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| 2 |
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| 3 | /* HeuristicLab
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[12012] | 4 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8594] | 5 | *
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| 6 | * This file is part of HeuristicLab.
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| 7 | *
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| 8 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 9 | * it under the terms of the GNU General Public License as published by
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| 10 | * the Free Software Foundation, either version 3 of the License, or
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| 11 | * (at your option) any later version.
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| 12 | *
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| 13 | * HeuristicLab is distributed in the hope that it will be useful,
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | * GNU General Public License for more details.
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| 17 | *
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| 18 | * You should have received a copy of the GNU General Public License
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| 19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 20 | */
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| 21 |
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| 22 | #endregion
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| 23 | using System.Drawing;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
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| 30 | [StorableClass]
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| 31 | [Item("AccuracyMaximizingThresholdsModelCreator", "")]
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| 32 | public sealed class AccuracyMaximizingThresholdsModelCreator : Item, ISymbolicDiscriminantFunctionClassificationModelCreator {
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| 33 | public static new Image StaticItemImage {
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| 34 | get { return HeuristicLab.Common.Resources.VSImageLibrary.Method; }
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| 35 | }
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| 36 | public override Image ItemImage {
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| 37 | get { return HeuristicLab.Common.Resources.VSImageLibrary.Method; }
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| 38 | }
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| 39 | [StorableConstructor]
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| 40 | private AccuracyMaximizingThresholdsModelCreator(bool deserializing) : base(deserializing) { }
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| 41 | private AccuracyMaximizingThresholdsModelCreator(AccuracyMaximizingThresholdsModelCreator original, Cloner cloner) : base(original, cloner) { }
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| 42 | public AccuracyMaximizingThresholdsModelCreator() : base() { }
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| 43 |
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| 44 | public override IDeepCloneable Clone(Cloner cloner) { return new AccuracyMaximizingThresholdsModelCreator(this, cloner); }
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| 45 |
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| 46 |
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[13941] | 47 | public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
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| 48 | return CreateSymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
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[8594] | 49 | }
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[13941] | 50 | public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
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| 51 | return new SymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, new AccuracyMaximizationThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);
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[8594] | 52 | }
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| 53 |
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| 54 | }
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| 55 | }
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