[15867] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[17980] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[15867] | 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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[17980] | 20 | #endregion
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[15867] | 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Data;
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| 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Problems.DataAnalysis;
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[17980] | 29 | using HEAL.Attic;
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| 30 |
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[15867] | 31 | namespace HeuristicLab.DatastreamAnalysis {
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[17980] | 32 | [Item("Proxy Ensemble Model", "Represents a named and rated collection of models which acts as a model yet again.")]
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[15867] | 33 | [Creatable(CreatableAttribute.Categories.DataAnalysis)]
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[17980] | 34 | [StorableType("F3794605-3D02-4482-8919-2FC29EBDB6F4")]
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[15867] | 35 | public class ProxyEnsembleModel : ParameterizedNamedItem, IProxyEnsembleModel {
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| 36 | protected const string ModelParameterName = "Model";
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| 37 | protected const string QualityThresholdParameterName = "QualityThreshold";
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| 38 | protected const string ConfidenceThresholdParameterName = "ConfidenceThreshold";
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| 39 |
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| 40 | #region parameter properties
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| 41 |
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| 42 | public IValueParameter<RegressionEnsembleModel> ModelParameter {
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| 43 | get { return (IValueParameter<RegressionEnsembleModel>) Parameters[ModelParameterName]; }
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| 44 | }
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| 45 |
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| 46 | public IValueParameter<DoubleRange> QualityThresholdParameter {
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| 47 | get { return (IValueParameter<DoubleRange>) Parameters[QualityThresholdParameterName]; }
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| 48 | }
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| 49 |
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| 50 | public IValueParameter<DoubleRange> ConfidenceThresholdParameter {
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| 51 | get { return (IValueParameter<DoubleRange>)Parameters[ConfidenceThresholdParameterName]; }
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| 52 | }
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| 53 |
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| 54 | public RegressionEnsembleModel Model {
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| 55 | get { return ModelParameter.Value; }
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| 56 | set {
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| 57 | if(value == null) throw new ArgumentNullException("Model", "The provided value for model is null.");
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| 58 | ModelParameter.Value = value;
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| 59 | }
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| 60 | }
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| 61 |
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| 62 | public DoubleRange QualityThreshold {
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| 63 | get { return QualityThresholdParameter.Value; }
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| 64 | set { QualityThresholdParameter.Value = value; }
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| 65 | }
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| 66 |
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| 67 | public DoubleRange ConfidenceThreshold {
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| 68 | get { return ConfidenceThresholdParameter.Value; }
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| 69 | set { ConfidenceThresholdParameter.Value = value; }
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| 70 | }
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| 71 |
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| 72 | #endregion
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| 73 |
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| 74 | #region constructors, clone ...
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| 75 | [StorableConstructor]
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[17980] | 76 | protected ProxyEnsembleModel(StorableConstructorFlag _) : base(_) { }
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[15867] | 77 | protected ProxyEnsembleModel(ProxyEnsembleModel original, Cloner cloner) : base(original, cloner) {
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| 78 | RegisterParameterEvents();
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| 79 | }
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| 80 | public override IDeepCloneable Clone(Cloner cloner) {
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| 81 | return new ProxyEnsembleModel(this, cloner);
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| 82 | }
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| 83 | public ProxyEnsembleModel() : base() {
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| 84 | Parameters.Add(new ValueParameter<RegressionEnsembleModel>(ModelParameterName, "Collection of models.", null));
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| 85 | Parameters.Add(new FixedValueParameter<DoubleRange>(QualityThresholdParameterName, "Quality threshold for the ensemble evaluation [0.0,1.0]", new DoubleRange(0.8,0.9)));
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| 86 | Parameters.Add(new FixedValueParameter<DoubleRange>(ConfidenceThresholdParameterName, "Confidence threshold for the ensemble evaluation [0.0,1.0]", new DoubleRange(0.8, 0.9)));
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| 87 | RegisterParameterEvents();
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| 88 | }
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| 89 | [StorableHook(HookType.AfterDeserialization)]
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| 90 | private void AfterDeserialization() {
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| 91 | RegisterParameterEvents();
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| 92 | }
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| 93 | #endregion
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| 94 |
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| 95 | public event EventHandler Reset;
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| 96 | public event EventHandler ModelChanged;
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| 97 | public event EventHandler QualityThresholdChanged;
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| 98 | public event EventHandler ConfidenceThresholdChanged;
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| 99 |
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| 100 | private void RegisterParameterEvents() {
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| 101 | ModelParameter.ValueChanged += new EventHandler(Model_ValueChanged);
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| 102 | QualityThresholdParameter.ValueChanged += new EventHandler(QualityTreshold_ValueChanged);
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| 103 | ConfidenceThresholdParameter.ValueChanged += new EventHandler(ConfidenceTreshold_ValueChanged);
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| 104 | }
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| 105 |
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| 106 | private void Model_ValueChanged(object sender, EventArgs e) {
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| 107 | if (e == null) return;
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| 108 | DatastreamAnalysisUtil.RaiseEvent(this, ModelChanged);
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| 109 | }
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| 110 |
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| 111 | private void QualityTreshold_ValueChanged(object sender, EventArgs e) {
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| 112 | if (e == null) return;
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| 113 | DatastreamAnalysisUtil.RaiseEvent(this, QualityThresholdChanged);
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| 114 | }
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| 115 |
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| 116 | private void ConfidenceTreshold_ValueChanged(object sender, EventArgs e) {
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| 117 | if (e == null) return;
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| 118 | DatastreamAnalysisUtil.RaiseEvent(this, ConfidenceThresholdChanged);
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| 119 | }
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| 120 |
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| 121 | // TODO
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| 122 | public IEnumerable<IParameterizedItem> ExecutionContextItems { get; }
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| 123 | }
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| 124 | }
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