[6577] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14186] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[6577] | 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.Common;
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| 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 25 | using HeuristicLab.Problems.DataAnalysis;
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| 26 |
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| 27 | namespace HeuristicLab.Algorithms.DataAnalysis {
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| 28 | /// <summary>
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| 29 | /// Represents a neural network solution for a regression problem which can be visualized in the GUI.
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| 30 | /// </summary>
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| 31 | [Item("NeuralNetworkRegressionSolution", "Represents a neural network solution for a regression problem which can be visualized in the GUI.")]
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| 32 | [StorableClass]
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| 33 | public sealed class NeuralNetworkRegressionSolution : RegressionSolution, INeuralNetworkRegressionSolution {
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| 34 |
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| 35 | public new INeuralNetworkModel Model {
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| 36 | get { return (INeuralNetworkModel)base.Model; }
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| 37 | set { base.Model = value; }
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| 38 | }
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| 39 |
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| 40 | [StorableConstructor]
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| 41 | private NeuralNetworkRegressionSolution(bool deserializing) : base(deserializing) { }
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| 42 | private NeuralNetworkRegressionSolution(NeuralNetworkRegressionSolution original, Cloner cloner)
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| 43 | : base(original, cloner) {
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| 44 | }
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[14027] | 45 | public NeuralNetworkRegressionSolution(INeuralNetworkModel nnModel, IRegressionProblemData problemData)
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[6577] | 46 | : base(nnModel, problemData) {
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| 47 | }
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| 48 |
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| 49 | public override IDeepCloneable Clone(Cloner cloner) {
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| 50 | return new NeuralNetworkRegressionSolution(this, cloner);
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| 51 | }
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| 52 | }
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| 53 | }
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